Tag: AI at edge
Stanford engineers created a more efficient AI chip that could bring the power of AI into tiny edge devices.
Stanford University engineers have created a chip that does AI processing with in-built memory, eliminating the compute and memory units. This...
“With ARYABHAT we have a learning paradigm, the problem of analog chips being prone to noise or small variations in voltage that causes errors can be compensated here by learning and overcoming,” Prof. Chetan Thakur, IISc Bangalore
“Most of the...
Adlink has released an AIOT SMARC module powered by a MediaTek Genio 1200 processor. The SMARC 2.1 is capable of driving AI at the edge. The module is powered by an octa-core CPU with Penta-core GPU for advanced 3D...
To enable next-generation connectivity of the 5G module, Quectel Wireless Solutions has integrated the company’s RM500Q with the Jetson AGX Orin. The company aims to provide global NVIDIA Jetson platform-based devices with an easy, frictionless pathway to high-speed, reliable...
Microchip Technology has announced the SAMA4G54, an MPU powered by a 1 GHz ARM Cortex A7 chip. The MPU can enable developers to design low-power stereo vision applications, the MPU includes both the MIPI CSI-2 camera interface and a...
Communicating with a specially challenged person who can't speak or hear is quite difficult, especially when you don’t know sign language.
So to ease this problem, today you will learn to make a Gesture Language Translator device that converts sign...
Compact, high performing GPU-enabled deep learning acceleration platform for deploying AI at the edge across industrial applications
ADLINK Technology has launched one of the most compact GPU-enabled deep learning acceleration platforms, the DLAP x86 series, which targets the deployment of...
