On-device AI is the capability of local devices to perform AI tasks independently of cloud-based infrastructure, offering solutions to energy consumption, financial costs, and…
Browsing: Edge AI
Yadhu Gopalan, cofounder and CEO of Esper, discusses the benefits of edge AI for businesses. Edge AI allows for lower latency and decreased costs…
221e srl has announced the availability of their MPE™ Motion Processing Engine for Microchip’s PIC32 MCUs, providing customers with advanced sensor fusion and edge…
The Japan edge AI market is expected to reach USD 40.81 billion by 2030 due to the increasing demand for intelligent applications and the…
Kneron, a San Diego-based AI company, has released its latest Edge AI server and AI-embedded PC, boasting impressive computing power and advanced capabilities. These…
NVIDIA JetPack 6.0 is the latest version of the software development kit for NVIDIA Jetson modules, offering a comprehensive solution for building accelerated AI…
Hailo, an Israeli edge AI chip designer, has been selected by Raspberry Pi to provide AI accelerators for the Raspberry Pi 5 AI Kit.…
Researchers at the Indian Institute of Science have developed an indigenous low-power AI co-processor called RAMAN for edge computing applications. RAMAN offers several advantages…
SiMa.ai, Lanner, and AWL have collaborated to deliver high-performance edge AI solutions for various industries. The integrated solution combines Lanner’s Edge AI appliances with…
This article discusses the importance of edge AI hardware acceleration in various industries, such as space, industrial automation, and automotive. It highlights the benefits…