As a result of the development of various machines and robots, we have become able to effortlessly handle jobs that humans could not perform with muscle strength and motor skills. Moreover, owing to advances in sensors, AI, and other information processing technologies, we have also become able to use perceptual abilities that exceed the five human senses.
As a result of the development of various machines and robots, we have become able to effortlessly handle jobs that humans could not perform with muscle strength and motor skills. Moreover, owing to advances in sensors, AI, and other information processing technologies, we have also become able to use perceptual abilities that exceed the five human senses.
In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.
EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
One year after unveiling a first-of-its-kind 'microwave brain' microchip capable of computing on ultrafast data and wireless signals, researchers from the Cornell Duffield College of Engineering have shown how the chip can encode information into its own language.
An EPFL team has created a new Large Language Model that is structured similarly to a human brain, allowing users more control and moving away from (black box) AI.
As a result of the development of various machines and robots, we have become able to effortlessly handle jobs that humans could not perform with muscle strength and motor skills. Moreover, owing to advances in sensors, AI, and other information processing technologies, we have also become able to use perceptual abilities that exceed the five human senses.
In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.
EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
Article #8 of Improving Lives with Digital Healthcare Series: Advancements in electronics have transformed the healthcare sector. The focus is on improving the experiences of users by utilizing cutting-edge technologies like advanced drug delivery systems, wearables, surgical robots, and more.
Article #4 of Improving Lives with Digital Healthcare Series: Transferring information directly between the human brain and a computer can unlock the possibilities of using machines as extended parts of the human body.
Clinical work begins with MagTrack, a cutting-edge assistive technology that enables power wheelchair users to control their connected devices and drive their power wheelchairs using an alternative, multimodal controller.
In this episode, we talk about an initiative from EPFL to allow those with spinal cord injuries to control robots for help with day-to-day tasks and MIT’s bug robots that are taking big strides for small scaled bio-robotics.
In this episode, we talk about how Neuralink wants to put chips in people’s heads, how Alauda wants to bring about the age of flying electric vehicles with their Airspeeder, and a joint effort to consider the carbon footprint of high performance processors.
Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).