Researchers at the University of Sydney have built a photonic AI chip that processes neural network tasks at the speed of light while generating far less heat and consuming far less power than ...

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Semiconductor and embedded processor maker Texas Instruments Inc. today announced the launch of new microcontrollers with TinyEngine neural processors. The company said it’s int ...

Neural network processing and AI workloads are both hot topics these days, driving multiple companies to announce their own custom silicon designs or to plug their own hardware as a top-end solution ...

The deep neural network models that power today's most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing ...

IRVINE, Calif., April 09, 2024 (GLOBE NEWSWIRE) -- Syntiant Corp., a leader in low power edge AI deployment, today introduced its Syntiant® NDP250 Neural Decision Processor™ (NDP), the company’s most ...

Ceva has enhanced its NeuPro-M NPU IP family to bring the power of generative AI to infrastructure, industrial, automotive, consumer, and mobile markets. The redesigned NeuPro-M architecture and ...

Intel's hardware for accelerating AI computation is finally on its way to customers. The company announced today that its first-generation Neural Network Processor, code named "Lake Crest," will be ...

Aimed at AI/ML applications, Renesas’ RA8P1 MCUs leverage an Arm Ethos-U55 neural processing unit (NPU) delivering 256 GOPS at 500 MHz. The 32-bit devices also integrate dual CPU cores—a 1-GHz Arm ...

video: Broadly speaking, the goal of neuromorphic engineering is to build computer systems that mimic the brain. Spiking Neural Network (SNN) is a type of biologically-inspired neural networks that ...