BitNetMCU Slims Down TinyML Models
AIMcu

BitNetMCU Slims Down TinyML Models

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...

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Avnet Unveils MaaXBoard OSM93: A Powerhouse for Edge AI Development
AISBC

Avnet Unveils MaaXBoard OSM93: A Powerhouse for Edge AI Development

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...

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TensorFlow 2.15 Supports CUDA for Accelerated ML on NVIDIA GPUs in Linux
AISoftware

TensorFlow 2.15 Supports CUDA for Accelerated ML on NVIDIA GPUs in Linux

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...

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Microchip’s LAN969x Series Ethernet Switches Features TSN, HSR/PRP Redundancy, and Scalable Bandwidth from 46 Gbps to 102 Gbps
ICTop Stories

Microchip’s LAN969x Series Ethernet Switches Features TSN, HSR/PRP Redundancy, and Scalable Bandwidth from 46 Gbps to 102 Gbps

In a recent press release, Microchip Technology announced their new LAN969x series of chips powered by a powerful 1 GHz single-core Arm® Cortex®-A53 CPU. This new Ethernet switch offers scalable bandwidths, time-sensitive networking (TSN), and two redundancy protocols for increased...

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AON1120 is a Ultra-Low-Power RISC-V SoC Designed for Always-On Edge AI Applications
ICSoC-SiP

AON1120 is a Ultra-Low-Power RISC-V SoC Designed for Always-On Edge AI Applications

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...

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Arduino Nano 33 BLE Sense Rev2 supports edge computing using Edge Impulse platform
ArduinoTop Stories

Arduino Nano 33 BLE Sense Rev2 supports edge computing using Edge Impulse platform

Arduino designed Nano 33 BLE Sense Rev2 board for beginners and entry-level professionals to get familiar with embedded machine learning capabilities. The Arduino Nano 33 BLE Sense Rev2 features Nordic Semiconductor’s nRF52840 microcontroller featuring an Arm Cortex-M4 32-bit...

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Eoxys launches two machine learning modules for advanced IoT applications: Xeno+ Nano ML
IoT

Eoxys launches two machine learning modules for advanced IoT applications: Xeno+ Nano ML

In today's world, data is everywhere, and the need for data analysis is increasing rapidly. One of the most promising technologies to enable an intelligent analysis of data is Machine Learning (ML). Machine Learning has revolutionized many industries by helping them make sense of the...

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Imagination Technologies – Baidu PaddlePaddle co-developed ML library for Model Zoo
AI

Imagination Technologies – Baidu PaddlePaddle co-developed ML library for Model Zoo

A UK-based startup that provides silicon and software IP, Imagination Technologies has partnered with Baidu PaddlePaddle, a provider of artificial intelligence solutions, to co-develop an open-source machine learning library for Model Zoo. The new AI model will cover several AI...

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