Tech Xplore on MSN11 lá
New training technique opens the door to neural networks that require much less energy
AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...
AUS&R2 lá
New Study Unlocks Potential of Spiking Neural Networks for Low-Power AI
Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...
Óstáilte ar MSN12 lá
Tiny AI chip modeled on the human brain set to boost battery life in smart devices — with lifespan in some rising up to 6 times
Related: Intel unveils largest-ever AI 'neuromorphic computer' that mimics the human brain SNN algorithms also tend to be ...
IEEE12 lá
Unification neural networks: unification by error-correction learning
Abstract: We show that the conventional first-order algorithm of unification can be simulated by finite artificial neural networks with one layer of neurons. In these unification neural networks, the ...
azoai11 lá
Spiking Neural Networks Revolutionize AI with Energy-Efficient Training
AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. These networks are trained with vast quantities of data on ...
Science Daily11 lá
New training technique for highly efficient AI methods
"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...
EurekAlert!9 lá
Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...