KAIST research team breaks down musical instincts with AI
From The Korea Advanced Institute of Science and Technology (KAIST) 02/02/24 Music, often referred to as the universal language, is known to be a common component in all cultures. Then, could ‘musical instinct’ be something that is shared to some degree despite the extensive environmental differences amongst cultures? On January 16, a KAIST research team […]
Researchers design new open-source technology for interfacing with living neurons
From Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign 26/01/24 Neurons intricately communicate and respond to stimuli within a vast network, orchestrating essential functions from basic bodily processes to complex thoughts. Traditional neuroscience methods, relying on in vivo electrophysiology (within a living organism), often have difficulty addressing the complexity of the brain as […]
Training algorithm breaks barriers to deep physical neural networks
From Ecole Polytechnique Fédérale de Lausanne 28/12/23 EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware. With their ability to process vast amounts of data through algorithmic ‘learning’ rather than traditional programming, it […]
What happens when the brain loses a hub?
From University of Iowa Health Care 14/12/23 A University of Iowa-led team of international neuroscientists has obtained the first direct recordings of the human brain in the minutes before and after a brain hub crucial for language meaning was surgically disconnected. The results reveal the importance of brain hubs in neural networks and the remarkable […]
New easy-to-use optical chip can self-configure to perform various functions
From Optica 23/10/23 Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the potential to be used in applications requiring optical neural networks. Optical neural networks can be used for a variety of data-heavy tasks such as image […]
New gene therapy restores neural connections lost in brain disorder
From University of Minnesota Medical School 22/08/23 The authors analyzed brain activity using resting state functional magnetic resonance imaging (rs-fMRI) in mice, identifying communication patterns between brain regions. They predicted different groups of mice based on their brain activity using statistical methods. CREDIT: University of Minnesota Medical School Urban living: A new study from the […]
‘Introspective’ AI improves its own neural network through open-mindedness
From North Carolina State University 03/09/23 An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks. “We created a test system with a […]
New detector unlocks large-scale optical neural networks: Faster and energy-efficient
From Optica 25/08/23 Faster, energy-efficient diffractive ONN could be used for image and video processing For the first time, researchers have used a surface normal nonlinear photodetector (SNPD) to improve the speed and energy efficiency of a diffractive optical neural network (ONN). The new device lays the groundwork for large-scale ONNs, which can perform high-speed […]