Tag: artificial intelligence

The ASUS NUC 14 Pro AI is a compact, high-performance mini PC powered by Intel Core Ultra processors, designed for consumer, commercial, and edge computing applications. It features advanced AI capabilities with a neural processing unit delivering up to 48 TOPS, and Intel Arc GPU...

The X7433RE-IM-A 3.5-inch industrial SBC is designed for use in embedded systems and IoT edge devices. It features an Intel Atom X7433RE quad-core processor with integrated Intel UHD Graphics, supporting up to 16GB of DDR5 RAM and three 4K displays via HDMI, DisplayPort, and LVDS/eDP...

Boardcom has recently introduced CM3576 SoM and EM3576 its associated development board, together with a development kit. The unique thing about this kit is that it supports 12 analog camera inputs along with various interfaces like HDMI, GbE Ethernet, USB, Serial GPIO, and much...

The BitNetMCU framework simplifies the process of training accurate neural networks for deployment on low-end microcontrollers, such as the 15-cent CH32V003. While major releases of new generative artificial intelligence (AI) tools, like large language models and text-to-image...

Seeed Studio's SenseCAP Watcher Combines Local TinyML with Cloud LLMs to Deliver Smart Monitoring Seeed Studio's SenseCAP Watcher is a cutting-edge device that merges the power of local TinyML (Tiny Machine Learning) with cloud-based Large Language Models (LLMs) to provide intelligent...

Syntiant, a leading provider of on-device deep learning solutions, has introduced its latest innovation: the NDP250 Neural Decision Processor. Boasting an impressive 30 giga-operations per second (GOPS) performance, the NDP250 sets a new standard for efficiency in AI processing. This...

Avnet introduces the MaaXBoard OSM93, a Raspberry Pi-style semi-single-board computer designed to cater to energy-efficient edge artificial intelligence (edge AI) tasks. The board leverages the NXP i.MX 93 system-on-chip (SoC) to power its capabilities, offering a versatile platform for...

TensorFlow 2.15 simplifies using NVIDIA's CUDA for AI on Linux with a single pip command and boosts performance with updates like CUDA 12.2 and Clang 17. It enhances machine learning efficiency on Windows and introduces advanced tf.function types for broad device...