Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is - ...

“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

Abstract: In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Moreover, the GRU was developed as an advanced variant of the ...