Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure—needs to scale up if it is to effectively compete with current ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure—needs to scale up if it is to effectively compete with current ...

Scaling neuromorphic computing to emulate brain efficiency offers a promising future in AI and technology, with strategic collaborations and advanced chip designs leading the charge. Researchers ...

JANUARY 22, 2025 — A review article about the future of neuromorphic computing by a team of 23 researchers, including two authors from UTSA, was published today in Nature. Dhireesha Kudithipudi, the ...

Since its inception over 20 years ago, the center has helped in many successful projects, including the research and development of low-power integrated circuits that will play a major role in edge AI ...

The research is part of a broader effort to advance neuromorphic computing, a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure.

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure—needs to scale up if it is to effectively compete with current ...

Researchers demonstrate phase control in spin Hall nano-oscillators. Spin waves used for long-range synchronisation of SHNOs. New technique improves neuromorphic computing systems.