You will be redirected to our submission process. Understanding how the brain produces perception, memory, learning, and adaptive behavior requires models that link circuit structure, neural dynamics, ...
An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
This year, Neural built on that success with the Quad Cortex mini, which shrinks the device size in half, cuts the ...
Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult.
An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.
Abstract: The motor imagery (MI) based brain–computer interface (BCI) holds broad application prospects in human–machine interaction. However, current MI recognition approaches primarily utilize ...
A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Abstract: The inflexible human-autonomy relationship within autonomous driving scenarios still has not realized synergetic intelligence, therefore unable to provide adaptive and context-sensitive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results