Search Results for : Neural Processing Unit

The Team at Tangram Vision has recently introduced Self-Calibrating HiFi 3D Sensor a cutting-edge depth sensing solution designed primarily for robotics applications. The camera module integrates high-fidelity 3D sensing with on-device AI capabilities, to provide a Plug-'n'-Play...

Hailo’s funding now exceeds $340 million as the company introduces its newest AI accelerator specifically designed to process LLMs at low power consumption for the personal computer and automotive industries, bringing generative AI to the edge. Hailo, the pioneering chipmaker of edge...

At Embedded World 2024, Digi International unveiled the Digi ConnectCore MP25, an ultra-compact System-on-Module (SoM) powered by the STMicroelectronics STM32MP25 SoC. This module is equipped with advanced connectivity features including 802.11ac Wi-Fi 5, Bluetooth 5.2, options for...

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...

The Banana Pi BPI-M7 SBC is a Pico ITX Single Board Computer(SBC) powered by the Rockchip RK3588 SoC. The board includes an Arm Mali-G610 GPU, and a 6TOPS NPU, designed for high-performance computing, multimedia applications, and deep learning tasks. It supports up to 32GB RAM, and...

The Milk-V Duo 256M is a compact board powered by the SOPHGO SG2002 SoC, integrating multiple architectures including Arm, RISC-V, and 8051. It has 256MB of built-in RAM and a 1 TOPS neural processing unit (NPU) for advanced computations. For storage, it features a microSD card slot....

At CES2024, AONDevice unveiled its new on-device machine learning chip, the AON1120. It features a RISC-V core, two NPU coprocessors, and a DSP, and operates at a remarkably low power consumption of just 260μW for full-load audio classification tasks. The AON1120 is a system-on-chip...

IBM is introducing new tools to make it easier for developers to write code for quantum computers. Qiskit Patterns is a set of tools that helps developers map classical problems, optimize them for quantum circuits, and execute them using Qiskit Runtime. With Qiskit Patterns and Quantum...