Tag: AI

The Internet of Things (IoT) hardware specialist Mixtile, has been preparing to launch a crowdfunding campaign for its compact computer Blade 3. Mixtile’s Blade 3 is a stackable, affordable single-board computer powered by the 8nm Rockchip RK3588 processor. The leading-edge...

Intel’s data center focused, Habana Labs, has announced its second-generation deep learning processors for training and inference deployment in the data center– Habana Gaudi 2 and Habana Greco. The new design is meant to reduce entry barriers for companies of all sizes leveraging...

Two well-known edge AI solutions providers, BrainChip and Edge Impulse, have partnered to evolve an edge ecosystem that aims to accelerate AI/ML deployment in a variety of applications. The combination of BrainChip’s Akida technology with Edge Impulse’s platform will allow...

AAEON announces the launch of the groundbreaking ARES-WHI0 server board, capable of powering everything from industrial servers to edge AI applications. AAEON, an industry leader in industrial AI solutions, announces the official launch of the ARES-WHI0 server board. Powered by the...

Synaptics has launched its FlexSense 4-in-1 sensor fusion processor that reduces system design, configuration, and costs in IoT applications. Synaptics Inc. has unveiled its FlexSense family of sensor processors that supports input from up to four sensors in a tiny form factor,...

Lanner Electronics & Hailo collaborate on one of the most cost-efficient PCIe accelerator cards on the market, with record high tera operations per second (TOPS), enabling high-end deep learning applications on edge servers Lanner Electronics, a global leader in the design and...

Complete AI vision solution | 4K resolution | Qualcomm® QCS610 | Sony STARVIS IMX415| MIPI CSI 2 e-con Systems™, a leading embedded camera company, launches qSmartAI80_CUQ610, a Qualcomm AI vision kit based on Sony STARVIS IMX415. This ready-to-deploy AI camera kit is suitable...

Computer vision applications that range from object detection and pattern recognition to computational healthcare and security surveillance systems take the input image for further processing, which in traditional hardware implementation has a vision sensing and vision processing...