new The goal of ambient AI is to make technology more intuitive and adaptive to human behavior, rather than requiring explicit input or commands from users. This can include smart home devices that adjust lighting and temperature based on user behavior, personalized health and wellness monitoring systems, and intelligent transportation systems that can optimize traffic flow and reduce congestion. — techstartups.com, 1d ago

new Another study, published in the journal JAMA Network Open, showed that an AI system invented by scientists at the University of British Columbia and BC Cancer was able to predict cancer patient survival rates using doctors' notes. The model uses natural language processing (NLP), which is a part of AI that can understand complex human language. The NLP can analyze doctors' notes after an initial consultation visit and identify individual characteristics specifically for each patient. — bbntimes.com, 8h ago

new Drop by this futuristic demo to find out how you can build your very own metaverse – simply by finger scribbling in the air. This bleeding-edge research from the SketchX research lab (University of Surrey) uses the latest AI technologies in the form of deep neural networks, which convert your rough scribbles into realistic 3D objects. Visit Yi-Zhe Song’s (Centre for Vision, Speech and Signal Processing) demo for the chance to wear a VR headset and experience this immersive tech reality first-hand. — turing.ac.uk, 8h ago

new Building artificial systems that see and recognize the world similarly to human visual systems is a key goal of computer vision. Recent advancements in population brain activity measurement, along with improvements in the implementation and design of deep neural network models, have made it possible to directly compare the architectural features of artificial networks to those of biological brains’ latent representations, revealing crucial details about how these systems work. Reconstructing visual images from brain activity, such as that detected by functional magnetic resonance imaging (fMRI), is one of these applications. This is a fascinating but difficult problem because the underlying brain representations are largely unknown, and the sample size typically used for brain data is small. — MarkTechPost, 1d ago

new Noninvasive Sensors for Brain-Machine Interfaces Based on Micropatterned Epitaxial Graphene... — Robo Daily, 1d ago

new ..., scheduled to be presented at an upcoming computer vision conference, demonstrates that AI can read brain scans and re-create largely realistic versions of images a person has seen. As this technology develops, researchers say, it could have numerous applications, from exploring how various animal species perceive the world to perhaps one day recording human dreams and aiding communication in people with paralysis.The AI algorithm makes use of information gathered from different regions of the brain involved in image perception, such as the occipital and temporal lobes, according to Yu Takagi, a systems neuroscientist at Osaka University who worked on the experiment. The system interpreted information from functional magnetic resonance imaging (fMRI) brain scans, which detect changes in blood flow to active regions of the brain. When people look at a photo, the temporal lobes predominantly register information about the contents of the image (people, objects, or scenery), whereas the occipital lobe predominantly registers information about layout and perspective, such as the scale and position of the contents. All of this information is recorded by the fMRI as it captures peaks in brain activity, and these patterns can then be reconverted into an imitation image using AI. — slashdot.org, 1d ago

new ...“All of the quantum computers currently available on Amazon Braket, the quantum computing service of AWS, started in the labs of experimental physicists. Innovation on these complex systems requires constant iteration on device design, fabrication methods, and control techniques. These devices require carefully isolated environments and delicate, complex components to facilitate interactions. The components themselves are often quite expensive, consisting of microwave, laser, and/or refrigeration technologies custom built in the lab or from boutique manufacturers. These factors all contribute to increase the resources required to build and experiment on quantum devices. — HPCwire, 9h ago

new Similarly, machine learning researchers might develop new algorithms that are more efficient, accurate, or can handle larger datasets. For instance, deep learning architectures such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have revolutionized the field of image and speech recognition, natural language processing, and autonomous driving. — bbntimes.com, 8h ago

new In the team's research, they manipulated incoherent light by using artificially structured materials called metasurfaces, made from tiny building blocks of semiconductors called meta-atoms that can be designed to reflect light very efficiently. Although metasurfaces had previously shown promise for creating devices that could steer... — phys.org, 1d ago

new The challenge for the Institute is two-fold. Firstly, it must develop and miniaturise new quantum sensing technologies. “In order to do this, we have to take the lasers and photonics and modulators and control electronics that make up 90% of the atom experiments here on Earth, and work really hard to get all that precision onto small, low-power chips that can be deployed in space,” said Daniel Blumenthal, a UC Santa Barbara professor of electrical and computer engineering, whose expertise lies in quantum photonic integration, optical and communications technologies. He will be working on developing the PICs for the compact chips designed to measure small variations in Earth’s gravity from space. This will involve moving a shaken lattice interferometer structure developed at the University of Colorado down to the chip scale. This type of atomic interferometer sensor uses many lasers and optics to cool and trap the atoms to measure gravity gradients with extremely high sensitivity. — electrooptics.com, 2d ago

new In the team's research, they manipulated incoherent light by using artificially structured materials called metasurfaces, made from tiny building blocks of semiconductors called meta-atoms that can be designed to reflect light very efficiently. Although metasurfaces had previously shown promise for creating devices that could steer light rays to arbitrary angles, they also presented a challenge because they had only been designed for coherent light sources. Ideally, one would want a semiconductor device that can emit light like an LED, steer the light emission to a set angle by applying a control voltage and shift the steering angle at the fastest speed possible. — Space Daily, 1d ago

new As noted previously, assistants like Siri and Alexa already use speech recognition models similar to Whisper. In the future, there could theoretically be a Whisper-powered virtual assistant that is highly accurate at understanding different languages and accents. — Techopedia, 1d ago

new The whole biosensor apparatus, which relies on a customized Microsoft HoloLens kit for reading brain waves and issuing commands, is able to process and execute as many as nine commands in just two seconds. Developed with assistance from the country's defense experts, the tech is said to work "outside laboratory settings, anytime, anywhere," ending the role of conventional input devices like keyboards, touch screens, or machine vision gesture recognition. The dry wearable biosensor is a combination of graphene and silicon, which makes it conductive and durable as well as corrosion-resistant. The team behind the innovation also mentions that the biosensor can be deployed in extreme weather conditions. — SlashGear, 1d ago

new MechSense could enable engineers to rapidly prototype devices with rotating parts, like turbines or motors, while incorporating sensing directly into the designs. It could be especially useful in creating tangible user interfaces for augmented reality environments, where sensing is critical for tracking a user’s movements and interaction with objects... — eeNews Europe, 1d ago

new Working with applied statistician Haiyan Huang, a UC Berkeley professor, the researchers developed deep learning methods to match natural protein properties with plastic polymer properties in order to design an artificial polymer that functions similarly, but not identically, to the natural protein. — phys.org, 1d ago

new Ultrananocrystalline Diamond films were demonstrated as hermetic/best biocompatible/bioinert coating for encapsulation of Si microchip (“Artificial Retina”), implantable on human eye’s retina, to restore Partial Vision to people blinded by retinitis pigmentosa (10 years of R&D (2000-2010) by group of scientists, engineers, biologist, medical doctors, surgeons (four Universities, five National Laboratories, and a USA-Company (Second Sight)) resulted in the Argus II device (currently without the UNCD-coated Si chip, because needs FDA approval), implanted in hundreds of blind people in the USA and Europe, returning partial vision. — Open Access Government, 1d ago

new During robotic surgery, every snip, clamp and stitch generates massive amounts video data and kinematic data tracing the surgeon’s movements. AI can analyze this data to give surgeons feedback on instrument moving speed, distances traveled and wrist angulations during the robotic surgery. Using data and expertise from Hung and his group, Liu and her team have developed algorithms that teach the computer to learn as it is fed thousands of these data points. — USC News, 1d ago

new Mur's team used magnetoencephalography (MEG), a non-invasive medical test that measures the magnetic fields produced by the brain's electrical currents. By using MEG data acquired from human observers during object viewing, the team detected a key point of failure in deep learning: readily nameable parts of objects, such as “eye,” “wheel,” and “face,” can account for variance in human neural dynamics over and above what deep learning can deliver. — aimagazine.com, 1d ago

new The Discovery device enables “seamless integration of the digital and real-world”, uses distributed computing to offer “a retina-level adaptive display”, supports “micro gesture interaction” and can be paired with compatible devices using NFC. — NFCW, 1d ago

new The intelligent cameras are now able to detect anomalies independently and thereby optimise quality assurance processes. For this purpose, users train a neural network that is then executed on the programmable cameras. To achieve this, IDS offers the AI Vision Studio IDS NXT lighthouse, which is characterised by easy-to-use workflows and seamless integration into the IDS ecosystem. Customers can even use only ‘GOOD’ images for training. This means that relatively little training data is required compared to the other AI methods of object detection and classification. This simplifies the development of an AI vision application and is well-suited for evaluating the potential of AI-based image processing for projects in the company. — electronicspecifier.com, 1d ago

new ...for the role in Fremont, California, says. “You will lead and help build the team responsible for enabling Neuralink’s clinical research activities and developing the regulatory interactions that come with a fast-paced and ever-evolving environment.”Musk, the world’s richest person with an estimated $256bn fortune, said last month he was cautiously optimistic that the implants could allow tetraplegic people to walk.“We hope to have this in our first humans, which will be people that have severe spinal cord injuries like tetraplegics, quadriplegics, next year, pending FDA [Food and Drug Administration] approval,” he told the Wall Street Journal’s CEO Council summit.“I think we have a chance with Neuralink to restore full-body functionality to someone who has a spinal cord injury. Neuralink’s working well in monkeys, and we’re actually doing just a lot of testing and just confirming that it’s very safe and reliable and the Neuralink device can be removed safely.”However, Musk has a history of overpromising about the speed of the company’s development. In 2019 he predicted that the device would be implanted into a human skull by 2020.Musk said the device would be “implanted flush with skull & charges wirelessly, so you look and feel totally normal”.He said people should think of the technology as similar to “replacing faulty/missing neurons with circuits”. “Progress will accelerate when we have devices in humans (hard to have nuanced conversations with monkeys) next year,” he... — Inferse.com, 2d ago

new In the team’s research, they manipulated incoherent light by using artificially structured materials called metasurfaces, made from tiny building blocks of semiconductors called meta-atoms that can be designed to reflect light very efficiently. Although metasurfaces had previously shown promise for creating devices that could steer light rays to arbitrary angles, they also presented a challenge because they had only been designed for coherent light sources. Ideally, one would want a semiconductor device that can emit light like an LED, steer the light emission to a set angle by applying a control voltage and shift the steering angle at the fastest speed possible. — sciencenewsnet.in | news, journals and articles from all over the world., 1d ago

new The Agilis Robotics system is designed to make endoscopic and endoluminal surgery easier, faster, and more precise. The ultra-thin instruments are as small as 2.5 mm in diameter and provides clinicians with unprecedented levels of dexterity within natural orifices of the body such as the gastrointestinal and urinary tract. The robot is controlled by a clinician who uses a pen-like controller to manipulate the robot's movements, which, when combined with artificial intelligence (AI)-enhanced image guidance, can greatly reduce the learning curve for doctors when performing endoscopic submucosal dissection (ESD) procedures. Ultimately, this will increase the procedure's effectiveness and improve patient outcomes. — prnewswire.co.uk, 1d ago

new Now, researchers at Google Quantum AI have taken an important step forward by creating a surface code scheme that should scale to the required error rate. Their quantum processor consists of superconducting qubits that make up either data qubits for operation or measurement qubits that are adjacent to the data qubits and can either measure a bit flip or a phase flip – two types of error that affect qubits. — CoinGenius, 1d ago

new Moreover, its content generators facilitate a more human-like output, resulting in robustly intelligent content. The content so generated is plagiarism-free original text and images. The voice-to-text input system of Avorak AI is powered by a natural language processing mechanism, which involves computers understanding and analyzing input to generate customized output according to individual user preferences. This technology allows the AI system to comprehend natural language inputs from users, thus improving the overall user experience. — CryptoNewsZ, 1d ago

new ...that details a communication network that would link rovers, lake landers, and even submersible vehicles through a so-called mesh topology network, allowing the machines to work together as a team, independently from human input. According to Fink and his co-authors, the approach could help address one of... — TodayHeadline, 1d ago

new The Akitda platform has been developed by BrainChip, a company which develops edge AI on-chip processing and learning. Akida uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, and processing data with efficiency, precision, and economy of energy. The 2nd Generation of Akida can enhance vision, perception, and predictive applications in markets such as industrial and consumer IoT and personalized healthcare, etc. — Electronics For You, 1d ago

new ...)-- Southwestern Hearing Centers is proud to offer Audibel’s latest hearing advancement, Intrigue AI. It is hearing reimagined from the inside out. Featuring an all-new processor, all-new sound, all-new industrial design, all-new fitting software, and all-new patient experience.“Southwestern Hearing Centers understands the significant role hearing plays in our emotional well-being and physical health. Intrigue AI is the best sounding, best performing hearing aid available, offering infinite benefits to patients,” said Cindy Marino, COO, Southwestern Hearing Centers. “We’re here to help our patients every step of the way. Through our partnership with Audibel, we aim to better serve our patients, helping them stay connected to the world around them so they can hear better and live better.”All-New ProcessorThe all-new Neuro Processor technology mimics the function of the central auditory system through a Deep Neural Network (DNN) on-chip accelerator and automatic functions. All-new Intrigue AI hearing aids mimic the cerebral cortex of the brain to more quickly and accurately “fill in” the gaps when patients’ hearing is impaired.It makes over 80 million personalized adjustments every hour - all designed to help wearers:· Distinguish words and speech more intuitively and naturally· Hear soft sounds without distracting noise· Reduce the effort it takes to listen and hearThe AI inside delivers more true-to-life sound quality than ever before.All-New SoundAudibel’s new Neuro Sound Technology provides the best hearing experience for patients in all situations. The additive compression system synthesizes the signals from slow and fast compression systems for optimized perceptual outcomes, like the neural fibers that code different information for the brain.“By spending countless hours with hearing professionals and patients, researching and analyzing every element of the hearing journey, we relentlessly pursued how to bring the best hearing innovation to professionals and patients in a simple and intuitive way,” said Achin Bhowmik, Ph.D., Chief Technology Officer and Executive Vice President of Engineering at Audibel. “Our all-new, powerful processor was designed to work like the human brain, leveraging the neuroscience of the ear-brain connection and information processing to create better sound quality, pushing artificial intelligence to its limits.”All-New DesignIntrigue AI features an all-new discreet and stylish aesthetic product design that’s durable and comfortable for all-day wear, and which helps break barriers and reduce the stigma of what is hearing care technology today.· Intrigue AI includes RIC RT, the industry’s longest-lasting RIC rechargeable hearing aid on the market. The battery holds up to 50 hours on a single charge.· The new mRIC R has the second longest-lasting RIC rechargeable battery life with up to 40 hours on a single charge.· Industry-first custom rechargeable product has the highest custom battery life in the industry with up to 36 hours on a single charge.All-New Patient ExperienceThe new My Audibel App gives patients full control over their hearing aids, plus the ability to get helpful tips, track their health, and access intelligent features designed to simplify their lives.Audibel leads the hearing industry as it relates to incorporating health and wellness features into hearing aids, including being the first to integrate 3D sensors; the first to enable counting steps; the first to track and encourage social engagement; and the first to provide benefits that went beyond just better hearing. Audibel was also the first hearing manufacturer - and still the only - to make hearing aids that can detect falls and send alerts.Intrigue AI’s improved streaming capabilities utilize binaural phone steaming, sharing information to both ears directly and simultaneously. This supports two-way, hands-free calling through compatible Apple and Android devices and makes it easier for patients to enjoy their favorite music with more natural results.About Southwestern Hearing CentersSouthwestern Hearing is a family owned business with more than 75 years and 3 generations of experience in the hearing industry. Southwestern Hearing experts know a patient’s quality of life directly relates to their level of hearing loss. Expert focus on a high level of patient care and support. This is evident in the thousands of 5 star reviews given directly from the patients they have served. — PR.com, 2d ago

new Brain implants that translate paralyzed patients’ thoughts into speech…... — STAT, 2d ago

new Data Storage System for Automated Driving or DSSAD which acts as black box when used solely for R&D purpose in the vehicle shall be utilised to capture the vehicle data having user inputs and Autonomous Driving function behavior. This data shall be used offline during research to understand, enhance and fine tune artificial learning based on AI algorithms of a known user of his driving behavior and interaction with respect to AD algorithms driving task within the ODD. — Autocar Professional, 2d ago

new ..."Noninvasive Sensors for Brain–Machine Interfaces Based on Micropatterned Epitaxial Graphene"... — nanowerk.com, 2d ago

new Another area in which AI and machine learning can be very helpful for precision medicine involves embedding machine learning into wearable and implantable devices. Very quickly we could train algorithms to the baseline of an individual patient and also to other patients. We could then use the devices to predict problems or detect dangerous conditions. — pasadenanow.com, 2d ago

new Inspired by the hardiness of bumblebees, researchers have developed techniques that enable a bug-sized aerial robot to sustain severe damage to the artificial muscles (actuators) that power its wings, and still fly effectively. — Cosmos, 2d ago

new Generative AI has been evolving since its introduction at a great pace. The development of Large Language Models (LLMs) can be termed as one of the major reasons for the sudden growth in the amount of recognition and popularity generative AI is receiving. LLMs are AI models that are designed to process natural language and generate human-like responses. OpenAI’s GPT-4 and Google’s BERT are great examples that have made significant advances in recent years, from the development of chatbots and virtual assistants to content creation. Some of the domains in which Generative AI is being used are – content creation, development of virtual assistants, human imitating chatbots, gaming, and so on. Generative AI is also used in the healthcare industry to generate personalized treatment plans for patients, improve the accuracy of medical diagnoses, etc. — MarkTechPost, 2d ago

new Sony has teamed up with Retissa, a company that has designed technology to aid people with low vision, to come up with a camera kit specifically for those who have visual impairments. The Sony DSC-HX99 RNV is made up of the HX99 compact camera and something called a QD Laser Retissa Neoviewer. The latter is a viewfinder that is able to project a digital image directly onto the retina of the user through laser retinal projection. A “crystal-clear image” is projected through a low-power, full-color laser beam. — Yanko Design - Modern Industrial Design News, 2d ago

new The technology behind the Apollo wearable was originally developed by a team of neuroscientists and physicians at the University of Pittsburgh. It uses touch therapy to send safety signals to the brain. — Mic, 2d ago