InferSens launched a battery-powered sensor with a neural decision processor for industrial applications
AI

InferSens launched a battery-powered sensor with a neural decision processor for industrial applications

British on-device deep learning hardware platform manufacturer InferSens has launched a battery-powered ultra-low-power edge deep learning sensor for commercial and industrial applications. The hardware platform uses Syntiant’s NDP120 neural decision processor to enable highly...

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IBM has launched Artificial Intelligence Unit– Ready to replace CPU for deep learning training
AI

IBM has launched Artificial Intelligence Unit– Ready to replace CPU for deep learning training

IBM believes that computing power and AI models have grown exponentially, but the supporting hardware to train them and run them on servers in the cloud or edge devices hasn’t advanced. IBM Research AI Hardware Center has decided to launch an application-specific integrated circuit...

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Cerebra establishes a new benchmark for training largest AI models on a single processor
AI

Cerebra establishes a new benchmark for training largest AI models on a single processor

Cerebras Systems recently announced a milestone of training multibillion-parameter Natural Language Processing (NLP) models, including GPT-3XL 1.3 billion models, GPT-J 6B, GPT-3 13B, and GPT-NeoX 20B, on a single CS-2 system. According to the claims made by Cerebras Systems, a single...

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Banana Pi BMP-MS2 SBC with Amlogic A311D AI Application Processor
AISBC

Banana Pi BMP-MS2 SBC with Amlogic A311D AI Application Processor

There have been a few single board computers hitting the market that are built around the powerful Amlogic A311D processor. Recently Geniatech released the DB10 AI development board that also came with the same hardcore processor. You can read the article on the DB10 AI development...

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TIDEP-01004 – Machine learning inference for embedded applications reference design
AI

TIDEP-01004 – Machine learning inference for embedded applications reference design

This reference design demonstrates how to use TI Deep Learning (TIDL)/Machine Learning on a Sitara AM57x System-on-Chip (SoC) to bring deep learning inference to an embedded application. This design shows how to run deep learning inference on either C66x DSP cores (available in all...

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Cererbras’ All NEW Wafer Scale Engine Packs 2.6 Trillion Transistors For Deep Learning Workloads
AI

Cererbras’ All NEW Wafer Scale Engine Packs 2.6 Trillion Transistors For Deep Learning Workloads

In 2019, we saw one of the largest single computer chips manufactured by a California-based AI startup, Cerebras, that unveiled the Wafer-Scale Engine for deep learning applications. The 1.2 trillion transistors-packed Wafer-Scale Engine came with 18GB of on-chip SRAM and an...

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Meet Jetson Xavier NX based BOX PC – DSBOX-NX2
AI

Meet Jetson Xavier NX based BOX PC – DSBOX-NX2

With the increasing popularity of the NVIDIA Jetson Xavier NX for its high-performance best-in-class deep learning accelerator, many manufacturers in the embedded electronic devices have started to release modules that work on this AI-edge device. One of the most recent releases was the...

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NVIDIA Jetson Xavier NX Integrated Industry’s First Industrial AI Smart Camera
AI

NVIDIA Jetson Xavier NX Integrated Industry’s First Industrial AI Smart Camera

If you are working on edge-AI devices then you would’ve considered buying NVIDIA Jetson Xavier NX, which is a best-in-class deep learning-accelerating module claimed to be the world's smallest supercomputer that was released last year. With the increasing implementation of AI-edge...

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