Humans to Cyborgs

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new Early mockups of the Halo show a headband-shaped device that is worn like a crown. It will work by releasing focused ultrasound beams—or sound waves also used to monitor the health of a baby in the womb—into a region of the brain involved in lucid dreaming. The beams will activate the parts of the brain that control decision-making and awareness, initiating the lucid dream, the company says. To create the Halo, Prophetic is working with Card79 founder Afshin Mehin, who designed the Neuralink N1 device for Elon Musk’s brain implant company. — Fortune, 10h ago

new Boston Dynamics’ collaboration with AI software company Levatas integrates OpenAI’s ChatGPT into the Spot robots, enabling verbal communication with humans using Google Assistant’s voice technology. While not commercially available, these robots can identify leaks, spillage, and equipment damage in industrial settings. — Wonderful Engineering, 1d ago

new ...(Nanowerk News) Roboticists have long aspired to match the dexterity and adaptability of animals with engineered creations. Soft-bodied creatures like octopuses can smoothly interact with uncertain environments thanks to sensitive skin and muscles. Now researchers from Beihang University, Tsinghua University, and the National University of Singapore have developed a soft robot that combines stretchable electronics with bioinspired motion. Their creation marks progress toward nimble robots that can perceive and manipulate the world around them. — nanowerk.com, 1d ago

The ultrasound beams, which are also used to monitor a baby's health in the womb, can activate the brain parts responsible for decision-making and awareness, thus triggering lucidity. Prophetic is working with Afshin Mehin, the founder of Card79 and the designer of the Neuralink N1 device for Elon Musk's brain implant company, to create the Halo. — interestingengineering.com, 3d ago

Mitchell — a postdoctoral researcher working under the supervision of Dream Photonics co-founder Lukas Chrostowski and Professor Jeff Young at UBC’s Stewart Blusson Quantum Matter Institute — is being recognized for using a novel technique to 3D print optical structures called waveguides, making it possible to connect photonic chips reliably and efficiently to other components, including optical fibres, photonic integrated circuits, and lasers, like the remote sensing lasers used in emerging LiDAR navigation systems. The innovative technique, called photonic wire bonding, is enabling the company to offer a first-of-its-kind prototyping service to companies working to innovate with the next-generation chips. — Electronic Products & Technology, 4d ago

new Fulton Schools biomedical engineering student Grace Billingsley’s Ireland IRES research project used machine learning technology to code an algorithm capable of identifying and diagnosing brain tumors from MRI images. The image is fed into the computer program, which will then identify anything in the image that stands out as a potential tumor. Photo courtesy Andreas Spanias/ASU... — ASU News, 2d ago

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IIT researchers recognised that replicating tactile sensations in artificial wearable devices could find multiple important uses, such as reproducing sensory feedback in amputees using a robotic limb, controlling teleoperated robots with a higher precision, providing information to blind people through ‘Braille displays’, or as interfaces in virtual environments and gaming, enhancing user’s immersive experience. — The Engineer, 4d ago

new ...(Nanowerk News) Robotics researchers have already made great strides in developing sensors that can perceive changes in position, pressure, and temperature – all of which are important for technologies like wearable devices and human-robot interfaces. But a hallmark of human perception is the ability to sense multiple stimuli at once, and this is something that robotics has struggled to achieve. — nanowerk.com, 2d ago

new Robotics researchers have already made great strides in developing sensors that can perceive changes in position, pressure, and temperature -- all of which are important for technologies like wearable devices and human-robot interfaces. But a hallmark of human perception is the ability to sense multiple stimuli at once, and this is something that robotics has struggled to achieve. — ScienceDaily, 2d ago

nanowerk.com, 1d ago

new Soft robotic arm mimics octopus' agility with stretchable electronics

MassDevice, 13d ago

5 more brain-computer interface companies you need to know

medicalxpress.com, 5d ago

Meta AI develops a non-invasive method to decode speech from brain activity

Medical Design and Outsourcing, 3d ago

Brain-computer interface lets ALS patient control home devices

CoinGenius, 6w ago

Plug Me In: The Physics Of Brain–computer Interfaces – Physics World - Plato Data Intelligence

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Dr. Oxley, a vascular and interventional neurologist and world expert in brain-computer interfaces (BCI), will present the latest applications of BCI technology. Synchron, a neural interface technology company, has developed an internationally acclaimed stentrode device that can record brain activity from within a blood vessel and capture the user’s thoughts to enable the control of digital devices that allow movement and speech restoration to previously paralyzed patients. — sciencenewsnet.in | news, journals and articles from all over the world., 12w ago

A brain–computer interface (BCI) functions as a bridge between your brain and an external device, typically a computer. BCIs collect, analyse and translate electrical signals from your brain into commands that can be understood and executed by a computer. They can also apply external signals to modulate the brain. Thanks to a combination of neuroscience, biomedicine, physics and technology, BCIs can change the lives of people with serious medical conditions. They also have applications across robotics, neuroscience, technology, gaming and computing. — CoinGenius, 6w ago

In a groundbreaking endeavor led by billionaire entrepreneur Elon Musk, Neuralink, the startup focused on developing advanced neural interface technologies, has announced a pivotal stride in the application of brain-computer interface (BCI) implants. Neuralink’s intended aim is to create a bridge between the human brain and computers, wherein individuals can control digital interfaces, such as computer cursors and keyboards, using merely their thoughts. — Helsinki Times, 9w ago

This process seems like a no-brainer (pun intended). Double the electrodes? And what type of person comes forward for this type of study? Neuralink, as the brain-computer interface (BCI), is already implanted in Elon Musk's brain. The company Neuralink states, "We are developing a system of ultrathin electrodes that thread into the brain to read from or stimulate neurons." Neuralink also states "The first generation of Neuralink's technology consists of a chip containing neuron-size polymer threads that a surgical robot would stitch into the brain to record electrical signals from neurons and convey them to a wireless device worn behind the ear."... — Entrepreneur, 8w ago

Neuralink is a neurotechnology company that's working to develop advanced brain-computer interfaces that enable direct communication between the human brain and external devices, such as computers. The company hopes the devices can both read and transmit information directly to and from the brain, with potential to treat neurological disorders, such as quadriplegia or amyotrophic lateral sclerosis (ALS). — 25 News KXXV and KRHD, 10w ago

Communicating with the brain enables us to advance our understanding of brain function, treat disorders, restore lost function, and when combined with artificial cognitive frameworks, can push the frontier of human capabilities. Key to realizing brain communication and replicating cognition are new computer architectures– systems that directly sense and stimulate the brain, and those capable of running complex cognitive frameworks. In this talk, I will present recent work on the first brain-computer interfacing platform, SCALO, that can sense, process and stimulate neural activity from multiple regions of the brain with millisecond latency and milliwatts of power. SCALO flexibly supports many neuroscientific applications, enabling for the first time, study of brain-wide behavior and diseases. I will also share how new quantum and classical platforms are needed to accelerate cognitive neuroscience modeling, and outline an end to end design that connects such platforms with brain interfaces. — nyu.edu, 6w ago

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new Robotics researchers have already made great strides in developing sensors that can perceive changes in position, pressure, and temperature—all of which are important for technologies like wearable devices and human-robot interfaces. But a hallmark of human perception is the ability to sense multiple stimuli at once, and this is something that robotics has struggled to achieve. — techxplore.com, 2d ago

..."In general, all tools for measuring brain activity have benefits and drawbacks," says Sumner Norman, former senior postdoctoral scholar research associate at Caltech and a co-first author on the study. "While electrodes can very precisely measure the activity of single neurons, they require implantation into the brain itself and are difficult to scale to more than a few small brain regions. Non-invasive techniques also come with tradeoffs. Functional magnetic resonance imaging [fMRI] provides whole-brain access but is restricted by limited sensitivity and resolution. Portable methods, like electroencephalography [EEG] are hampered by poor signal quality and an inability to localize deep brain function."... — Technology Networks, 3d ago

...https://www.alliedmarketresearch.com/request-sample/2558Deep learning is a sub-set of machine learning, which is a sub-set of artificial intelligence (AI) that is achieved to perform tasks related to AI. Deep learning works as a brain, which has been penetrating in several industries around the world. This technology is achieved with software, such as computer vision, voice recognition, speech synthesis, machine translation, game playing, drug discovery, and robotics. Deep learning chips are specialized Silicon chips, which incorporate AI and machine learning technology.Get Customized Reports with your Requirements :... — openPR.com, 3d ago

Si-microchip implantable on human retina, receiving images from CCD camera outside the eye, processing images/injecting electrons in retina’s ganglion cells, which axons (optical nerve) transmit electronic information to brain’s cells, restoring partial vision to people blinded by gene-induced death of photoreceptors (retinitis pigmentosa). The Argus II device, developed in a 10-year R&D project, returned partial vision to blind people in the U.S./EU markets since 2011 (Ch. 2/Ref. (1)). However, the eye’s fluids induce chemical corrosion, destroying the Si chip and thus requiring the current chip setting in a box outside the eye. — Open Access Government, 3d ago

...“While past studies on speech BCI have focused on communication, our study addressed the need to control smart devices directly,” said Dr. Nathan Crone, professor of neurology at Johns Hopkins Medicine and senior author of the study. “The BCI accurately recognized a set of six commands from neural signals alone, allowing Tim to navigate a communication board and control household devices without needing a language model to fix errors.”... — Medical Design and Outsourcing, 3d ago

...“A goal of our lab is to make effective non-invasive BMIs, where neural signals are recorded without neurosurgery. These signals have a significantly worse signal-to-noise ratio than invasive signals, meaning non-invasive BMIs are difficult to control. To overcome this, we use AI to increase performance. This AWS-UCLA award supports research into how to control robotic arms effectively with noisy and low-information inputs.”... — Amazon Science, 4d ago

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Neuromorphic computing is inspired by the human brain’s structure and function. A neuromorphic chip is a device that uses physical artificial neurons to do computations. Unlike conventional digital processors, these chips are designed to carry out artificial intelligence (AI) and machine learning (ML) activities in a biologically inspired and energy-efficient method. However, their widespread use could be improved by the need to train neuromorphic computers using external training software, which is time-consuming and energy-inefficient. — MarkTechPost, 10w ago

Silk-based transistors could lead to the development of new microprocessors mimicking neural networks, self-learning circuits, and direct memory storage. Or just be used for sensors, according to TechXplore. — Tom's Hardware, 7w ago

SPARC researchers are accelerating the development of tools and technology that modulate activity in the nervous system and improve organ function. Besides light waves, some of those are electrodes, ultrasound, biosensors, and electrical currents. — Principia Scientific Intl. | A science-based community, 4w ago

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Researchers have developed a safe, millimeter-scale wireless device small enough to be implanted in individual nerves, capable of detecting electrical activity of nerves and muscles deep within the body, and that uses ultrasound for power coupling and communication. They call these devices neural dust. — substack.com, 5d ago

Scientists have created tiny moving biological robots from human tracheal cells that can encourage the growth of neurons across artificial 'wounds' in the lab. Using patients' own cells could permit growth of Anthrobots that assist healing and regeneration in the future with no nead for immune suppression. — ScienceDaily, 3d ago

...– The future of HCI includes interfaces that can interpret and respond to human emotions. Emotionally intelligent systems leverage facial recognition, voice tone analysis, and other biometric data to gauge user emotions and tailor interactions accordingly. — Healthcare Business Today, 4d ago

VISIE is a 3D computer vision and spatial computing company developing deep tech optical scanners for use in robotic and navigated orthopedic, neuro, and spine surgery. The company's proprietary hardware and software produce snap registration and rich objective data that can be used in both image-dependent and imageless robotic, as well as navigated, surgery. — tmcnet.com, 4d ago

It’s fascinating that researchers have shown how speech representations acquired in cutting-edge DNNs closely mimic key information processing elements in the human auditory system. When predicting neuronal responses to genuine speech throughout the auditory pathway, Deep Neural Network (DNN) feature representations perform noticeably better than theory-driven acoustic-phonetic feature sets. Additionally, they examined the fundamental contextual computations in Deep Neural Networks (DNNs). They discovered that entirely unsupervised natural speech training is how these networks acquire crucial temporal structures related to language, such as phoneme and syllable contexts. This capacity to acquire language-specific linguistic information predicts DNN–neural coding correlation in the nonprimary auditory cortex. While linear STRF models cannot disclose language-specific coding in the STG during cross-language perception, Deep learning-based neural encoding models can. — MarkTechPost, 4d ago

Cognitive computing includes self-learning systems that use pattern recognition, data mining, and natural language processing to impersonate the way the human brain works or takes decisions. Moreover, cognitive computing is a sub-technology of artificial intelligence (AI)that includes almost the same underlying technologies to power its applications such as neural networks, expert systems, robotics, and virtual reality. — CMSWire.com, 3d ago

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Parker focused her study on four areas, namely nanotechnology, retinal and cortical neuromorphic analog circuits, biomimetic stereo vision, and biomimetic neuromorphic circuits. The biomimetic neuromorphic circuits mimic the brain's short-term memory, while the perception of objects in three dimensions is aided by biomimetic stereo vision. Meanwhile, the retinal and cortical neuromorphic analog circuits simulate the neural networks located in the retina and the visual cortex. — Science Times, 12w ago

The research team outlines the progress made in graphene-based sensors designed to measure a variety of different signals from the body. "Many parts of the human body, from head to toe, have the potential to be developed into human-machine interfaces. Brain, eyes, ears, nose, mouth, throat, fingertips, skin, joints, and feet can all be used as HMI interfaces based on electroencephalogram (EEG), electromyography (EMG), electrooculogram (EOG), eye movement, light, breathing, voice, touch, temperature, movement, gait and other physiological information," Tian-Ling Ren said. — phys.org, 27d ago

Musk established the neurotechnology firm Neuralink in July 2016. The company is based in San Francisco, California, and its main objective is to create solutions for brain-machine interfaces (BMI). The goal of these interfaces is to close the communication gap between the brain and computers or other external devices. The ultimate mission of Neuralink is to establish a direct interface between the brain and technology in order to improve human intellect and treat neurological illnesses. — interestingengineering.com, 10w ago

It's only a tiny incremental step towards Musk's sweeping vision for his company's brain chip. In 2020, Musk promised Neuralink devices could solve numerous neurological conditions, including addiction or memory loss, or restore movement for people with spinal cord injuries. He's even promised that one day, a Neuralink brain chip could allow for human-to-human telepathy. — Futurism, 10w ago

In a recent study for Cyborg and Bionic Systems, Xiaopeng Si and colleagues from Tianjin University in China describe a brain imaging technique that can now be applied to emotion recognition research. While traditional methods are subjective and unexact, tracking emotions using brain-machine interfaces may introduce more objectivity to research. — Psychology Today, 13d ago

The Neuralink, a company funded by Elon Musk, recently implanted a microchip in the brain of a pig to investigate brain function when it seeks food. Neuralink is currently developing a device that consists of a small probe equipped with over 3,000 electrodes connected to flexible threads. These threads can record the activity of 1,000 brain neurons, and Neuralink's computers will interpret the collected data [1]. These chips are different from the ones used to compensate for certain brain disorders, such as memory or motor function control. They may be capable of unveiling the brain's function during a physiological sensation, like starvation. — Psychology Today, 28d ago

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Neuralink is developing a device that will be implanted in humans to monitor brain activity. The microchip will be placed through a patient's skull into the brain. — Business Insider, 7d ago

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path—taking a cue from nature—that they say is the foundation of an artificial retina. Like our own visual system, the device is geared to sense change, making it more efficient in principle than the computationally demanding digital camera systems used in applications like self-driving cars and autonomous robots. — techxplore.com, 4d ago

Deepfakes are created by artificial intelligence (AI), which also has the ability to counteract them. Scientists are currently developing sophisticated artificial intelligence (AI) algorithms that scan digital content for minute discrepancies that might indicate the existence of a deepfake. These instruments aim to detect a variety of indicators, including irregularities in facial expression, abnormal blinking patterns, and differences in audio-visual synchronisation. Since deepfake technology is developing quickly and necessitates complex and adaptable defences, it is imperative that these algorithms be continuously improved. — MarTech Series, 5d ago

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In Vietnam, Medtronic has accelerated patient access to the latest medical technologies in cardiovascular, diabetes, medical surgical, and neuroscience. Take deep brain stimulation (DBS) for Parkinson’s disease, for example. DBS uses a small pacemaker-like device, placed under the skin of the chest, to send electrical signals through extensions and very thin wires to an area in the brain that controls movement. By managing some of the movement symptoms of Parkinson’s, DBS may help patients regain control. — Vietnam Investment Review - VIR, 6d ago

Established in 2016, Neuralink has made substantial strides in developing implantable chips capable of interpreting brain activity. Their innovative approach involves a sewing machine-like device adept at implanting ultra-thin threads into the brain. These threads are then linked to a specially designed chip housing electrodes, enabling the extraction of information from clusters of neurons. — COINNEWSEXTRA, 7d ago

Publishing their findings in Nature Communications earlier this month, a team led by Dr Yansha Deng with postdoctoral researchers Dr Vivien Walter and Dr Dadi Bi designed and prototyped the world’s first microfluidic molecular communication (MIMIC) platform that could be used to reliably send signals in real-time biological environments, like the human body. — King's College London, 5d ago

Touch is a fundamental sense, and touching the surrounding environment and perceiving tactile sensations from external stimuli is an almost fully automatic skill, fundamental to perform several daily tasks. Therefore, replicating tactile sensations in artificial wearable devices could find multiple important uses, such as reproducing sensory feedback in amputees using a robotic limb, controlling teleoperated robots with a higher precision, providing information to blind people through so-called ‘Braille displays’, or as interfaces in virtual environments and gaming, enhancing the immersive experience of users. — IO, 6d ago

NExT-GPT offers a chat-based interface that enables users to input text, images, videos, or audio files. The model can understand and respond to these inputs, answering questions or generating content accordingly. This multi-modal AI system combines pre-trained encoders and decoders, including Vicuna and Stable Diffusion, with trainable neural network layers in between. These intermediary layers are trained using a novel technique developed by the NExT team called Modality-switching Instruction Tuning (MosIT). — RTInsights, 5d ago

..."After a stroke, or a brain disease, many patients lose their ability to speak," Jean Remi King, Research Scientist at Meta, told Medical Xpress. "In the past couple of years, major progress has been achieved to develop a neural prosthesis: a device, typically implanted on the motor cortex of the patients, which can be used, through AI, to control a computer interface. This possibility, however, still requires brain surgery, and is thus not without risks."... — medicalxpress.com, 5d ago

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The eyes are more than windows to the soul; they are also windows to detecting traumatic brain injury, thanks to researchers at the University of Birmingham who have developed a non-invasive, handheld device that shines a safe laser into the eye to detect biomarkers of brain tissue damage following a concussion or other traumatic brain injury. The device could be used on-site at the time of injury, ensuring the early diagnosis that’s critical to improving outcomes. — New Atlas, 4d ago

...11/06/23 — An implantable, AI-powered device can translate brain signals into synthesized speech and facial expressions. — Berkeley Engineering, 6d ago

Advances in brain-machine connectivity—such as through Elon Musk’s Neuralink, which he claims will be able to cure conditions such as blindness and depression—will impact the evolution and integration of exoskeletons. — Verdict, 5d ago

A team at Tufts University’s Silklab has developed transistors using biological silk as the insulating material, allowing them to interact with the environment like living tissue. These hybrid transistors can detect various substances and conditions, potentially revolutionizing health monitoring and computing. By altering the silk insulator’s ionic composition, these transistors can process variable information, similar to analog computing. This breakthrough in microprocessor technology could lead to self-training microprocessors and new interfaces between electronics and biology. — SciTechDaily, 10d ago

Apple’s patent involves systems, methods, and computer readable media to utilize a machine learning based blood flow tracking technique for generating an avatar. To generate a photorealistic avatar, blood flow can be mimicked based on facial expressions a subject may make. That is, blood moves around a face differently when a person talks or makes different facial expressions, or performs any other movement that deforms the face. — Apple World Today, 6d ago

Touch is a fundamental sense, and touching the surrounding environment and perceiving tactile sensations from external stimuli is an almost fully automatic skill, fundamental to daily tasks. Therefore, replicating tactile sensations in artificial wearable devices could find multiple important uses, such as reproducing sensory feedback in amputees using a robotic limb, controlling teleoperated robots with a higher precision, providing information to blind people through so-called "Braille displays," or as interfaces in virtual environments and gaming, enhancing the immersive experience of users. — techxplore.com, 6d ago

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The sense of touch is essential for grasping and manipulating objects, experiencing the world, and enabling communication between machines and humans. Replicating tactile sensation via wearable devices would have multiple important uses, such as providing feedback to an amputee’s robotic arm or information to visually impaired people, as well as uses in virtual reality and gaming. — New Atlas, 6d ago

When operating as a photodetector at low voltage, the device demonstrates a fast photoresponse speed and a high responsivity, enabling complex functionalities such as optically controlled logic circuits, photonic imaging, and optical communication. As a neuromorphic vision sensor at high voltage, the device can simulate neuron/synaptic functions, including paired pulse facilitation, transition from short-term to long-term plasticity, learning-experience behavior, and image memory. [1]... — Semiconductor Engineering, 6d ago

Buterin, however, is not entirely pessimistic. He proposes integrating brain-computer interfaces (BCIs) to maintain human oversight over AI. BCIs would facilitate direct communication between the human brain and machines, ensuring humans stay involved in AI's decision-making processes. This approach could prevent AI from making choices that do not align with human values. — EconoTimes, 6d ago

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Meta is building a wrist-based device with electromyography (EMG), a non-invasive neural interface technique. EMG translates electrical motor nerve signals into digital commands. This means that users could potentially operate smart glasses by thinking about an action or gesture (e.g., moving a hand or finger to scroll down a webpage). The device will work in conjunction with Meta’s upcoming smart glasses. Such technologies could potentially make metaverse experiences immersive, intuitive, and realistic. The movement of human avatars and digital goods in virtual spaces will require a combination of several AI technologies. — Verdict, 5w ago

Elon Musk’s startup Neuralink said Wednesday it has started recruiting human volunteers to test brain implants that the company hopes will allow the mind to control computers, and one day potentially treat neurological disorders. — timesofisrael.com, 10w ago

According to a blog post from the California-based neurotechnology company, the main purpose of these human trials is to test whether its brain-computer interface (BCI) — called "the Link" — is safe and functional. The aim of Neuralink's BCI and the company as a whole is to create implantable devices that'll let users control things with their brains. And while it sounds super sci-fi, Neuralink is far from the only company developing brain interface devices. — Mashable, 10w ago

Several companies are developing brain-computer interfaces (BCIs), many of which offer people with paralysis a chance to control external devices with their mind. Onward, a Dutch medtech company, develops technology that could utilize BCIs to go even further. — MassDevice, 8w ago

Bio-inspired perception (e.g., visual or tactile feedback) can provide the drone with information on its environment, mimicking animals’ sensory feedback. Using retina-like event cameras, drones can avoid obstacles and detect objects at a fraction of the power and latency of conventional hardware and algorithms. Enhancing tactile feedback can also prompt different behaviors in response to different force stimuli. — TU Delft, 7w ago

AI also shows promise in decoding signals from the peripheral nerve interface for upper limb prosthetics. Compared to surface electromyography sensors, implanted electrodes provide more defined nerve impulses. AI algorithms can now reliably translate these signals into fluid multijoint movements in the prosthetic arm. Thus, amputees benefit from truly responsive prostheses. — AI Time Journal - Artificial Intelligence, Automation, Work and Business, 7w ago

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Italian researchers at the Istituto Italiano di Tecnologia (IIT) have created an ultrathin electronic tattoo with the capability to replicate localized sensations of touch. The device, made from temporary transfer tattoo paper, offers potential applications in lightweight, portable haptic displays and healthcare/robotics devices. — Wonderful Engineering, 6d ago

Researchers from the Princess Máxima Center and the Hubrecht Institute have developed advanced brain organoids that closely resemble the human cortex. These organoids, named Expanded Neuroepithelium Organoids (ENOs), mimic the brain’s development and cellular identity more accurately than previous models. These mini-organs have features like cell organization, stem cell expansion, and cell identity that more closely mimic real brains. These novel organoids can be used as a basis to model pediatric brain tumors. — SciTechDaily, 6d ago

First, there was the Internet of Things (IoT) and now, at the interface of computer science and biology, the Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and health care. The IoBNT refers to biosensors that collect and process data, nano-scale Labs-on-a-Chip that run medical tests inside the body, the use of bacteria to design biological nano-machines that can detect pathogens, and nano-robots that swim through the bloodstream to perform targeted drug delivery and treatment. — phys.org, 11d ago

The other new grant focuses on neuromorphic computing – specifically making artificial neurons for micro and nanoelectronics. These neurons mimic the way the brain works, unlike traditional transistors and opens the possibility for alternative computing architectures and AI which solve problems like the human brain. — EIN Presswire, 12d ago

Having billions of transistor nodes with connections reconfigured by biological processes in the silk could lead to microprocessors which could act like the neural networks used in AI. "Looking ahead, one could imagine have integrated circuits that train themselves, respond to environmental signals, and record memory directly in the transistors rather than sending it to separate storage," said Omenetto. — ScienceDaily, 8d ago

The AI technique works by collecting imaging signals that show the strength of the connection between various brain areas. These are identified through the use fof DT-MRI scans that allow researchers to isolate brain tissue images. A machine learning program then proceeds to compare marker patterns in autistic children's brains to those in properly formed brains. — interestingengineering.com, 8d ago

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Liu will use his award to develop the next generation of brain-computer interfacing with liquid metal enabled soft neural probes that, because they are flexible and elastic, minimize an immune response. — UMass Amherst, 11w ago

Once implanted via surgical robot using ultra-fine, flexible wiring, the preliminary BCI device reportedly will wirelessly transmit data to an external computer to decode patients’ movement intentions. Neuralink’s ultimate goal for the Precise Robotically Implanted Brain-Computer Interface (PRIME) Study is to grant its volunteers the ability to wirelessly control a computer mouse or keyboard with their brains. — interestingengineering.com, 10w ago

Using an electric wire, the startup is training human neurons to process information the same way the human brain does. Co-founder Fred Jordan told Quartz that his team has been testing futuristic methods in AI models, such as in silico spiking neural networks and genetic programming. The aim is to achieve artificial general intelligence. — Quartz, 24d ago

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...(Nanowerk News) First, there was the Internet of Things (IoT) and now, at the interface of computer science and biology, the Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and healthcare. The IoBNT refers to biosensors that collect and process data, nano-scale Labs-on-a-Chip that run medical tests inside the body, the use of bacteria to design biological nano-machines that can detect pathogens, and nano-robots that swim through the bloodstream to perform targeted drug delivery and treatment. — nanowerk.com, 12d ago

First, there was the Internet of Things (IoT) and now, at the interface of computer science and biology, the Internet of Bio-Nano Things (IoBNT) promises to revolutionize medicine and healthcare. The IoBNT refers to biosensors that collect and process data, nano-scale Labs-on-a-Chip that run medical tests inside the body, the use of bacteria to design biological nano-machines that can detect pathogens, and nano-robots that swim through the bloodstream to perform targeted drug delivery and treatment. — epfl.ch, 12d ago

The development of implantable bioelectronic devices provides potential solutions for health monitoring and diagnosis and treatment of diseases. However, breakthroughs in power modules have lagged far behind the sensor nodes and circuit units integrated with tissues. In a recent study, researchers developed a soft implantable power system incorporating wireless energy transmission and storage modules. — Science Times, 12d ago

To find the factors that influence coating, an interdisciplinary team consisting of the perovskite solar cell experts of KIT has joined forces with specialists for Machine Learning and Explainable Artificial Intelligence (XAI) of Helmholtz Imaging and Helmholtz AI at the DKFZ in Heidelberg. The researchers developed AI methods that train and analyze neural networks using a huge dataset. This dataset includes video recordings that show the photoluminescence of the thin perovskite layers during the manufacturing process. Photoluminescence refers to the radiant emission of the semiconductor layers that have been excited by an external light source. "Since even experts could not see anything particular on the thin layers, the idea was born to train an AI system for Machine Learning (Deep Learning) to detect hidden signs of good or poor coating from the millions of data items on the videos," Lukas Klein and Sebastian Ziegler from Helmholtz Imaging at the DKFZ explain. — ScienceDaily, 8d ago

...(Nanowerk News) Wearable electronics that can monitor health and provide real-time feedback have long been envisioned as the future of personalized medicine. But most wearables today simply collect raw data to be processed later. Now, researchers have developed stretchable, multifunctional circuits made from gold nanowires that can both sense health signals directly on the skin and process that data in real time without external algorithms or rigid chips. This breakthrough could enable rapid advancements in smart wearables able to detect concerning health changes and intervene with treatments like heat or light therapy as needed. — nanowerk.com, 14d ago

At the moment the most common sensory input for an AI system is computer vision. This involves teaching machines to interpret and understand the visual world. Using digital images from cameras and videos, computers can identify and process objects, scenes, and activities. Applications include image recognition, object detection, and scene reconstruction. — unite.ai, 13d ago

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Neuralink, founded in 2016, is part of a growing number of academic groups and companies studying and developing brain-computer interfaces in the South Texas region.For years, students and professors at the University of Texas at San Antonio have used grants from the federal government and Defense Department to develop brain-computer interface methods to study the brain and ways to help people reduce how often they stutter, for example.Paradromics Inc., an Austin-based startup founded in 2015, announced in May that it had raised $33 million to pursue its development of devices that could help launch its first human trial in 2024. The company aims to help people with ALS, spinal cord injuries and strokes to communicate.Musk has described how he hopes to use Neuralink implant technology to aid people with severe disabilities and eventually bring humans to a state of "symbiosis" with artificial intelligence. He appears to believe the human-machine merger will help humans to keep on pace with the rapidly advancing pace of AI technologies.But Neuralink has so far only tested its implant technology on animals. In April 2021, the company released a video showing a 9-year-old macaque named Pager with two implanted devices able to play a videogame called Pong using only his brain. — GovTech, 10w ago

Mueller’s proposal for the 2021 New Frontier Grant “Autonomous Quantum Subsystem Error Correction” aimed to simplify quantum computer architectures by developing a new strategy to correct for quantum processor errors caused by environmental noise – that is, any factor, such as cosmic rays or magnetic fields, that would interfere with a quantum computer’s qubits, corrupting information. — newswise.com, 12w ago

Researchers from Edinburgh-based Speech Graphics, UC San Francisco (UCSF), and UC Berkeley have developed the world’s first brain-computer interface that generates speech and facial expressions from brain signals. Therefore, this development offers hope for restoring natural communication among those unable to speak. — NFT Evening, 8w ago

Isaacson, in his book, claims the cybernetic implants frequently used in the game were a “sci-fi version” of the type of brain computer interfaces Musk developing at his company Neuralink. Players in the game can use the cybernetics to hack into computers and weapons, see through walls, and scan the environment for information. Prolonged use of the devices, in the lore also lead to a condition called “cyberpsychosis” where users are driven to violent madness. Musk’s Neuralink has successfully helped a monkey play Pong. — Gizmodo, 10w ago

Loss of communication is not uncommon in patients suffering from debilitating neurodegenerative diseases like ALS and clinical locked-in syndromes. One solution to restore communication involves decoding signals directly from the brain. However, coarse neural recordings inadequately capture the rich structure of human brain signals. Now, a new speech prosthetic developed by a team of Duke neuroscientists, neurosurgeons, and engineers can translate a person’s brain signals into speech. The new technology might one day help people unable to talk regain the ability to communicate through a brain-computer interface. — GEN - Genetic Engineering and Biotechnology News, 28d ago

...“During the study, the R1 Robot will be used to surgically place the N1 Implant’s ultra-fine and flexible threads in a region of the brain that controls movement intention,” said Neuralink. “Once in place, the N1 Implant is cosmetically invisible and is intended to record and transmit brain signals wirelessly to an app that decodes movement intention. The initial goal of our BCI is to grant people the ability to control a computer cursor or keyboard using their thoughts alone.”... — Silicon UK, 10w ago

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A new type of broadband provider was announced in Nature Medicine last week: the human body. According to the creators of the broadband acousto-mechanical sensing (BAMS) system “the human body generates various forms of subtle, broadband acousto-mechanical signals…with potential application for continuous physiological monitoring.” The BAMS system is a small wireless sensor that is placed on the skin to detect these broadband signals. Several can be linked up to create networks of sensors to track gastrointestinal activity, swallowing, and respiratory airflow. The paper shows how researchers applied this technology to people with chronic lung disease and neonates in neonatal intensive care units. For these specialist clinical applications it might prove valuable, but let's hope it doesn’t get rolled out as another wearable consumer health tracking wellness gadget that society doesn’t need. — The BMJ, 11d ago

Reyedar’s mission is to democratize access to early diagnosis of life-impairing degenerative diseases. By combining state-of-the-art infra-red eye-tracking powered by Deep Learning, they create accessible medical devices for diagnosing visual impairments, neurological diseases, and cognitive disorders in just a few minutes of non-invasive testing. This unique hardware-software combination is called SONDA (Standardized Oculomotor and Neuro-ophthalmic Disorders Assessment). — Falling Walls, 11d ago

The team aims to create ultrasound devices for imaging other body organs like the pancreas, liver, or ovaries. This requires adjusting the ultrasound frequency and developing new piezoelectric materials. An implantable device may be more effective for deeply located organs than a wearable patch. — Electronics For You, 16d ago

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Fabric-based flexible electronics have countless potential applications. You could make ultra-thin filters or more comfortable, responsive prosthetic limbs. Graphene shoe inserts could track people’s steps or monitor pressure inside shoes for podiatry purposes. Perhaps flexible electronic sheets could be used in pressure mapping across a person’s entire back to prevent bedsores. Wearable patches attached to the skin could measure people’s heart rate, blood oxygen and levels of UV exposure from the sun. — bbntimes.com, 12d ago

In tasks like image recognition and object detection in computer vision, it often starts with analog signals from the environment. To process them with AI neural networks, which are trained to find patterns in data, the analog signals must be converted into digital ones. The conversion takes time and energy, which can slow down the neural network. Photonic computing, using light signals, is a promising solution. — Data Center Knowledge | News and analysis for the data center industry, 14d ago

While the magnetic field triggered the self-assembly of magnetic colloidal particles to maintain numerous colloids as a dynamically stable entity, the optical fields allowed the colloidal collectives to generate convective flow through photothermal effects for 3D drifting. The collectives performed 3D locomotion underwater to provide insights into the design of smart devices and intelligent materials for synthetic active matter that can regulate collective movement in 3D space. — phys.org, 10d ago

Abstract: Hematologic processes are frequently comprised of cellular and biomolecular interactions that are biophysical in nature and may involve blood cells (erythrocytes, leukocytes, and platelets), endothelial cells, soluble factors (coagulation proteins, von Willebrand factor, and cytokines), the hemodynamic environment, or all of the above. These phenomena are often pathologically altered in hematologic diseases but are difficult to study using standard in vitro and in vivo systems. With the capabilities to dissect cellular and biomolecular phenomena at the micro to nanoscales with tight control of the mechanical and fluidic parameters, micromechanical and microfluidic systems can serve as novel yet physiological in vitro disease models to provide insight into the pathophysiology of blood disorders. Due to their inherent portability, these microsystems can also be translated into diagnostic tests used at the point-of-care or even by patients at home, especially if those technologies are coupled to existing consumer-based devices like smartphones. Recently, our lab has also developed open source software for the entire field to analyze blood-based microfluidic data more easily as well as embark on developing combined microfluidic and analytical strategies to help improve the efficiency and lower the cost of cellular therapies for hematologic diseases. By developing state-of-the art microdevices to answer hematologic questions, microsystems engineering has the potential to significantly advance our understanding of blood disorders and to develop innovative diagnostic and therapeutic strategies for patients afflicted with those life-threatening diseases. — gatech.edu, 12d ago

How can you hear more clearly by wearing a wristband? Neosensory’s award-winning wristband is designed to put decades of neuroscience research into a wearable that delivers innovative hearing healthcare solutions for tinnitus and hearing loss. Created by Stanford neuroscientist David Eagleman, PhD, the Neosensory wristband uses an onboard microphone to listen to the environment and deliver information to the brain using patterns of haptic vibrations on the skin. — The Hearing Review, 16d ago

Brain-computer interfaces (BCIs) are devices that read and interpret their users’ cerebral activity to generate commands which instruct machines to perform various tasks. Some BCIs are also able to modify brain activity via electrical stimulation. Today, BCIs are employed for the neuroprosthetic control of robot arms, to restore communication in individuals with impaired means of expressing themselves, or for the treatment of psychiatric disorders. Simultaneously, a gradual crossing of the threshold from therapeutics towards human enhancement is taking place. — harvard.edu, 21d ago

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Not so long ago people used to only send short text messages to each other; now they talk via video call and send large files effortlessly. This development requires ever faster connections and processing of data. Associate Professor Klaas-Jan Tielrooij of the Department of Applied Physics and Science Education is laying the foundation for wireless electronic components that can keep up with this trend in the future. New materials and new physics should enable compact transmitters and receivers that process trillions of signals per second. These optoelectronic components use terahertz radiation to send and receive information. In theory, they are many times faster than the components now found in wireless communication networks. — tue.nl, 11d ago

Now a PME graduate student, she conducts research in the lab of Prof. Savas Tay, developing a new kind of microfluidic device to test for respiratory diseases. Microfluidic devices can analyze fluids, using tiny channels to process samples and test for diseases like COVID-19 and influenza. But Okrah is working to make these devices even better. — University of Chicago News, 20d ago

The technology may also be useful for medical or assistive robots, such as those that care for the elderly, or even surgical robots that interact with soft tissues inside the body. “Our sensor uses weak electric fields to sense objects, even at a distance, much as touchscreens do,” said John Madden, another researcher involved in the study. “But unlike touchscreens, this sensor is supple and can detect forces into and along its surface. This unique combination is key to adoption of the technology for robots that are in contact with people.”... — Medgadget, 13d ago

To find the factors that influence coating, an interdisciplinary team consisting of the perovskite solar cell experts of KIT has joined forces with specialists for Machine Learning and Explainable Artificial Intelligence (XAI) of Helmholtz Imaging and Helmholtz AI at the DKFZ in Heidelberg. The researchers developed AI methods that train and analyze neural networks using a huge dataset. This dataset includes video recordings that show the photoluminescence of the thin perovskite layers during the manufacturing process. Photoluminescence refers to the radiant emission of the semiconductor layers that have been excited by an external light source. “Since even experts could not see anything particular on the thin layers, the idea was born to train an AI system for Machine Learning (Deep Learning) to detect hidden signs of good or poor coating from the millions of data items on the videos,” Lukas Klein and Sebastian Ziegler from Helmholtz Imaging at the DKFZ explain. — Technology Networks, 11d ago

Operating biological imaging techniques invented by Lichtman and his colleagues, the researchers will carry out a two-tiered system for the NIH project. Two 91-beam scanning electron microscopes, one at Harvard and one at Princeton, will receive images of thin sections of the mouse hippocampal formation. The surface of each section will be etched away with an ion beam, nanometres at a time. This imaging process will be repeated until the entire volume is visualised, after which time a team at Google Research will computationally extract the wiring diagram with machine learning. Engineers led by grant-investigator Viren Jain will apply artificial intelligence (AI) algorithms to the brain images to categorise and colour-code nerve cells and synapses. Google will also aid in sharing the map publicly. — Drug Target Review, 14d ago

A photoacoustic approach to guiding cardiac catheters involves short laser pulses delivered using an optical fiber attached to a catheter, while a special signal transducer picks up the ensuing ultrasound waves generated within the heart. Experiments with live swine demonstrate the potential of combining deep neural networks with photoacoustic imaging. Such models can help robotic arms carefully control the position of cardiac catheters during cardiac interventions. Credit: Gubbi et al., doi 10.1117/1.JBO.29.S1.S11505... — spie.org, 21d ago

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Electrically powered prosthetics, or ‘myoelectric’ prosthetics contain electrodes to receive electromyographic (EMG) signals from the muscles or nerves above the amputation. It’s these electrical signals that are transmitted to the prosthetic’s control electronics, where the signals are amplified and used to direct the motors to move accordingly. — Med-Tech Innovation, 17d ago

AI girlfriends are virtual entities created using sophisticated AI algorithms. They are designed to simulate human-like interactions, offering companionship through text and voice communication. These AI entities are not just programmed for basic responses; they are capable of learning, adapting, and personalizing their interactions based on the user's preferences and behavior. — unite.ai, 12d ago

In the future, fine-tuning nature’s quantum properties could enable researchers to develop therapeutic devices that are noninvasive, remotely controlled and accessible with a mobile phone. Electromagnetic treatments could potentially be used to prevent and treat disease, such as brain tumors, as well as in biomanufacturing, such as increasing lab-grown meat production. — Inside Quantum Technology, 13d ago

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Decoding thought usually requires placing sensors directly on or in someone’s brain. Those implanted electrodes eavesdrop on the electrical signals whizzing between the person’s brain cells, or neurons. Such neural firings carry messages that allow brains to think, feel and control the body. — Science News Explores, 27d ago

INBRAIN Neuroelectronics S.L., founded in 2020, is a health-tech company dedicated to developing the world’s first intelligent graphene-based neural platform to treat a variety of conditions. INBRAIN develops semiconductors derived brain computer interface (BCI) technology that, applied in neuromodulation, is designed to decode and modulate brain activity in high resolution, using artificial intelligence to trigger adaptive responses for personalised neurological treatment in Parkinson’s disease, epilepsy, and speech impairment. — bist.eu, 10w ago

Once implanted, Neuralink claims its device could potentially read a user’s intended hand and finger movements and translate them into commands to control external devices. — Zephyrnet, 10w ago

Published in Nature Electronics, the research team with Pursue University have built a wireless communication technique for brain implants – known as biphasic quasistatic brain communication. This transmits information to a headphone-shaped hub, with the hub sending power and programming bits to the implant through fully electronic signals to avoid transduction loss, according to Nature. — TechRadar, 9w ago

Symposium focus: This is the first symposium that describes how to mimic biological neural systems and demonstrate brain-like energy efficiency in silicon-based computing systems. Invited speakers from around the world discuss evolving topics on novel materials processing, devices, circuits, and systems. This symposium addresses the materials and devices required for the hardware requirements using nanoscale solid state and electrochemical materials that enable neuromorphic computing and next-generation AI technologies. This includes in-memory computing and implementation of deep neural network circuits. In some instances, materials and device co-design, and device and circuit co-design, are required through extensive simulation and processing for system implementation. Issues like energy efficiency and performance enhancement are required to emulate the brain’s connectivity in hardware. The switching devices that replicate the electronic synapse need to reduce the device-to-device or in-device stochasticity. Also required is understanding how these materials/devices (mechanisms) work for the neuromorphic systems and applications. — ECS, 9w ago

Process recorded brain signals using algorithms. These algorithms decipher the brain status and activate the implant stimulation circuitry in synchrony with the brainwaves. — Open Access Government, 8w ago

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The sounds out bodies make can provide important information about our health. This is why doctors often rely on the sounds of heartbeat, breathing, and digestion to receive information about what's happening inside a patient's body. To make those evaluations as frequent and efficient as possible, Northwestern University researchers have developed soft, miniaturized wearable devices. Attached to the skin, the wearables can continuously and simultaneously track sounds at multiple multiple locations in the body.In pilot studies, the devices were tested on premature babies with respiratory and intestinal motility disorders, as well as adults, including people with chronic lung diseases. The devices performed with clinical-grade accuracy and offered new functionalities that could improve the detail and efficiency of health checks.“Currently, there are no existing methods for continuously monitoring and spatially mapping body sounds at home or in hospital settings,” said John A. Rogers, a bioelectronics pioneer who led the device development, in a press release. “Physicians have to put a conventional, or a digital, stethoscope on different parts of the chest and back to listen to the lungs in a point-by-point fashion. In close collaborations with our clinical teams, we set out to develop a new strategy for monitoring patients in real-time on a continuous basis and without encumbrances associated with rigid, wired, bulky technology.”... — Mashable, 12d ago

The researchers' aim was to provide a review of neural decoding in visual systems that could serve as an inspiration to both neuroscience and multidisciplinary researchers looking to understand the state-of-the-art and current problems in neural decoding, especially regarding the development of artificial intelligence and brain-like vision systems. — medicalxpress.com, 19d ago

IMU-equipped ADAS holds the potential for development and advancement in future. Nowadays, engineers work on designing the automatic communication between cars, called Vehicle to Vehicle (V2V), and between cars and surrounding infrastructure, called Vehicle to Infrastructure (V2I). These advancements in automotive technology are revolutionising how vehicles interact with each other and their environment, paving the way for safer and more efficient driving experiences. However, IMUs are not directly involved in the communication aspect. They provide crucial data supporting accurate positioning, orientation, and motion tracking, which is essential for effective V2V and V2I interactions. The development of advanced motion control algorithms can utilise IMU data to optimise vehicle stability. Integrating artificial intelligence (AI) and machine learning (ML) techniques with IMU data will enable intelligent and adaptive ADAS functionalities. Finally, the ongoing development includes evolving safety features, such as collision detection and avoidance systems, pedestrian and cyclist detection, and improved emergency braking systems. — Electronics For You, 13d ago

A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses. — ScienceDaily, 20d ago

Neuralink was launched in 2016, the company is developing implantable devices intended to facilitate direct communications between the human brain and computers, which could have profound implications for treating neurological conditions and enhancing human cognition. — TechSpot, 25d ago

Forest Neurotech develops an ultrasonic whole-brain-computer interface (BCI) and software platform. It aims to catalyze breakthroughs in understanding and treating the human brain. — MassDevice, 13d ago

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The neurotechnology uses artificial intelligence to decode the woman's brain signals while she tries to speak. Though her muscles don't move, her brain sends a signal perceptible to the electrodes, which decode what she is trying to say, and then synthesizes speech and facial expressions using a computer-generated avatar. — Business Insider, 12w ago

A team of material scientists led by Tian-Ling Ren from Tsinghua University in Beijing, China recently outlined the state of graphene-based HMI sensor technology to advance research in the field. Advanced sensor technologies that are flexible, lightweight and can be worn continuously are ideal for HMI and have potential applications in both the immersive virtual world of the metaverse and wearable healthcare technologies. Current research is aimed at creating sensors capable of interfacing nearly every part of the body that can be measured, including the brain, eyes and mouth. These measurements can then be used to characterize bodily information by an interfacing machine. — SCIENMAG: Latest Science and Health News, 28d ago

Some of our most significant advances are very tiny, such as a brain-on-a-chip device that records the neural activity of living brain cell cultures, enabling researchers to study the function of the human brain — outside of the body. Using a 3D microelectrode array platform, researchers can keep thousands of human-derived neurons alive, networked and communicating, while non-invasively recording their electrical activity. The device will advance research aimed at modeling disease or infections, drug discovery and developing countermeasures for chemical or biological agents. — llnl.gov, 7w ago

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