VPU for next-gen AI Inference on the Edge

VPU for next-gen AI Inference on the Edge

A Vision Processing Unit (VPU) is a computing chip that is optimized for AI tasks. Therefore, VPUs enable the transition of computer vision and deep learning from the laboratory setting to real-world applications. Megatrend Deep Learning The recent advances in deep...
BrainChip calls for application-based benchmarks in edge AI

BrainChip calls for application-based benchmarks in edge AI

Neuromorphic AI chip developer BrainChip believes better metrics are needed to iron out the limitations of current industry-standard performance benchmarks in edge AI. The company’s findings, part of a new whitepaper, suggest that metrics need to be continually...
Industry 4.0-ready Edge AI powered microprocessors

Industry 4.0-ready Edge AI powered microprocessors

STMicroelectronics has introduced the second generation of its STM32 MPUs (microprocessors), coming with a new architecture built upon the same ecosystem and raising performance and security for applications at the industrial and IoT edge. “The new STM32MP2 series...
Adding low-power AI/ML inference to edge devices

Adding low-power AI/ML inference to edge devices

Artificial intelligence and machine learning (AI/ML) offer the unparalleled ability to recognize complex patterns and make decisions quickly. Consequently, companies are quickly adding AI/ML inference capabilities to a wide range of products—and there are many chip...
Generative AI in factory automation and the edge

Generative AI in factory automation and the edge

Artificial intelligence (AI) models continue to support many applications across various industries. While traditional AI systems are designed to perform specific tasks like image recognition or natural language processing, more creative applications like generating...