Machine learning and artificial intelligence are showing up just about everywhere, including on the edge where things can get a little challenging.

After years of research and development, Uniquify, a Silicon Valley neural network and AI edge computing company, is ready to unveil neural network 2.0 technology at the CES 2022 event. Currently, neural network technology is used in creating visual, audio, data, and natural language processing (NLP) models with the multiply-accumulate (MAC)-based operations. But with Uniquify's second-generation neural network 2.0 technology, neural networks shrink neurons by using proprietary AI processing elements (AIPEs) in place of MAC operations. AIPE technology shrinks the neurons in neural networks to enable the creation of the most advanced and complex AI visual, audio, and NLP models. In the past, MAC hardware was used to implement advanced but bulky neural network models, which severely hindered the possibilities of edge computing.

NEXTY is now a Blaize distribution partner serving automotive and industrial markets for AI edge computing in Japan. NEXTY Electronics is a world leader in car electronics, and successfully application of technology and innovation advances in areas such as autonomous driving to other markets, such as IoT, manufacturing and industrial equipment. As such, NEXTY is an ideal distribution partner for Blaize AI hardware and software products serving customers who are adopting AI to process the growing volume of edge data, provide more insight, develop new AI models and deploy new edge systems. "We are pleased to leverage our partnership with Blaize to provide cutting-edge solutions to a wide range of Nexty Electlonics' customers." said Kiyotaka Nakao, Managing Director of Nexty Electlonics. "Edge AI computing technology is evolving rapidly and is sure to become more and more important to the semiconductor industry's business. We hope that combining Nexty Electronics' abundant knowledge of semiconductor peripheral technology with Blaize products and will open up many business opportunities."

Researchers from Princeton University have developed co-designed hardware and software meant to further increase speed and efficiency of specialized artificial intelligence (AI) systems.  Naveen Verma is a professor of electrical and computer engineering at Princeton who leads the research team. “Software is a critical part of enabling new hardware,” Verma said. “The hope is that […]