Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...
Tech Xplore on MSN
Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
Interesting Engineering on MSN
New light-based photonic chips enable robotic learning without electronic computation
Researchers have built new photonic computing chips that allow neural networks to learn using ...
Art of the Problem on MSN
How neural networks actually learn, from brain cells to deep learning
This video explores how neural networks evolved from early ideas about the brain into the foundation of modern deep learning. From Rosenblatt’s perceptron to GPUs and backpropagation, it traces the ...
Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...
A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.
A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.
The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...
What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results