EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
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neuro-robotics
TAGGED WITH brain–machine interface (bmis)
Ismael Seáñez’s lab develops brain wave decoder that may help in spinal cord injury rehabilitation
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking.
Liu and team receive NSF EFRI grant for biocomputing research
Latest Posts
EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
4 minutes read
Ismael Seáñez’s lab develops brain wave decoder that may help in spinal cord injury rehabilitation
3 minutes read
Brain–machine interfaces (BMIs) have enabled a handful of test participants who are unable to move or speak to communicate simply by thinking.
4 minutes read
Liu and team receive NSF EFRI grant for biocomputing research
Researchers from EPFL have developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips.
To strengthen the case for noninvasive BCIs, Carnegie Mellon researchers have demonstrated that through precision neuromodulation using focused ultrasound, the performance of a BCI could be improved for communication.
3 minutes read
In this episode, we discuss how a team from Carnegie Mellon University spearheading non-invasive brain computer interface solutions has had a significant breakthrough in improving their accuracy.
19 minutes read
Achieving a noteworthy milestone to advance noninvasive brain-controlled interfaces, researchers used AI technology to improve the decoding of human intention and control a continuously moving virtual object all by thinking about it, with unmatched performance.
3 minutes read
Organoid intelligence is a pioneering field where scientists use human brain cells to improve computer functions.
Barani Raman, professor of biomedical engineering in the McKelvey School of Engineering, is leading a multidisciplinary team to study how the locust brain transforms sensory input into behavior with a four-year, $4.3 million grant from the National Science Foundation’s Integrative Strategies for Understanding Neural and Cognitive Systems (NCS) program.
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.
6 minutes read
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.
3 minutes read
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.
