These courses are designed to help working professionals and job seekers enhance their skills without quitting their jobs or ...

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 ...

Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely ...

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 ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

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 ...

Dr. Jongkil Park and his team of the Semiconductor Technology Research Center at the Korea Institute of Science and Technology (KIST) have presented a new approach that mimics the brain's learning ...

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

Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...

("Neural Cloud"), a subsidiary of AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), is pleased to announce that it has entered into a pilot with The Hospital for Sick ...

Zhonghao Xinying was founded in 2018 by Yanggong Yifan, a Stanford and University of Michigan-trained electrical engineer.