Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale ...

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 ...

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 ...

SHANGHAI--(BUSINESS WIRE)--VeriSilicon (688521.SH), a leading Silicon Platform as a Service (SiPaaS ®) company, today announced its neural network processor (the Vivante 1 NPU) IP designed for ...

It's become increasingly clear that quantum computers won't have a single moment when they become clearly superior to classical hardware. Instead, we're likely to see them becoming useful for a narrow ...

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SANTA CLARA, Calif.--(BUSINESS WIRE)--VeriSilicon Holdings Co., Ltd. (VeriSilicon), a Silicon Platform as a Service (SiPaaS®) company, today announces VIP8000, a highly scalable and programmable ...

While the acceleration of AI and ML applications is still a relatively new field, there is a variety of processors springing up to accelerate almost any neural network workload. From the processor ...

Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose ...