Week In Review: Design, Low Power


AI Mythic debuted its Analog Matrix Processor for edge AI applications such as smart home, AR/VR, drones, video surveillance, smart city, and industrial. The M1108 AMP combines 108 tiles made up of an array of flash cells and ADCs, a 32-bit RISC-V nano-processor, a SIMD vector engine, SRAM, and a high-throughput Network-on-Chip router. It uses 40nm technology and the company says typical power... » read more

Week In Review: Design, Low Power


Gyrfalcon Technology released a 22nm AI accelerator ASIC chip with embedded MRAM. The Lightspeeur 2802M includes 40MB of memory to support large or multiple AI models, such as image classification and voice identification, within a single chip. Manufactured by TSMC, target applications include IoT endpoints, cloud solutions, and autonomous vehicles. Arm expanded its line of automotive-focuse... » read more

AI Accelerator Gyrfalcon Soars Post Stealth


Milpitas, Calif.-based startup Gyrfalcon Technology Inc. (GTI), which emerged from semi-stealth mode in September, recently announced the datacenter-focused second generation of its neural-network accelerator, which was first aimed at the endpoint. GTI is not alone: The endpoint market is growing. By 2022, 25% of endpoint devices will execute AI algorithms (inference for neural network appli... » read more

Week In Review: Design, Low Power


Tools & IP Cadence unveiled deep neural-network accelerator (DNA) AI processor IP, Tensilica DNA 100, targeted at on-device neural network inference applications. The processor is scalable from 0.5 TMAC (Tera multiply-accumulate) to 12 TMACs, or 100s of TMACs with multiple processors stacked, and the company claims it delivers up to 4.7X better performance and up to 2.3X more performance p... » read more