Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is - ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert ...
Abstract: In the rapidly evolving field of autonomous cars, advanced deep learning systems have ushered in a new era of innovation, enabling the integration of unique features into vehicles. These ...
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 ...
Abstract: Urban road traffic prediction is one of the key technologies in the construction of smart cities, playing a crucial role in alleviating traffic congestion and optimizing traffic management.
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 ...
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