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GrAI Matter Labs Unveils GrAI One Hardware Development Kit at tinyML Summit, 2020

GrAI Matter Labs, News /

SAN JOSE, Calif.–(BUSINESS WIRE)–GrAI Matter Labs (GML) today unveiled a hardware development kit (HDK) for GrAI One, the world’s first AI processor optimized for ultra-low latency and low power processing at the edge. GML is making the GrAI One HDK available for companies seeking to gain an advantage in real-time, intelligent processing of edge sensor […]

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Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment

Articles, NVIDIA /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the second in a series (Part 1) that addresses the challenges of training an accurate deep learning model using a large public dataset and deploying the model on the edge for real-time inference using NVIDIA

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment Read More +

BrainChip’s Akida Development Environment Now Freely Available for Use

BrainChip, News /

Develop and Deploy on Akida Deeply Learned Neural Networks in a standard TensorFlow/Keras Environment February 12, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, today announced that access to its Akida™ Development Environment (ADE) no longer requires pre-approval, now allowing designers to freely develop systems

BrainChip’s Akida Development Environment Now Freely Available for Use Read More +

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training

Articles, NVIDIA /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Some of the biggest challenges in deploying an AI-based application are the accuracy of the model and being able to extract insights in real time. There’s a trade-off between accuracy and inference throughput. Making the model more accurate

Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training Read More +

Qualcomm Accelerates XR Headset Development with the New Qualcomm Snapdragon XR2 5G Reference Design

News, Qualcomm /

Snapdragon XR2 Reference Design Delivers an End-to-End Boundless XR Over 5G Solution and Helps to Shorten Commercialization Time of XR Devices for OEMs Feb 25, 2020 – San Diego – Qualcomm Technologies, Inc. unveiled a new extended reality (XR) reference design headset based on the Qualcomm® Snapdragon™ XR2 Platform, making it the world’s first 5G-enabled

Qualcomm Accelerates XR Headset Development with the New Qualcomm Snapdragon XR2 5G Reference Design Read More +

Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning

Blog Posts, Intel, Privacy /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Privacy for machine learning (ML) and other data-intensive applications is increasingly threatened by sophisticated methods of re-identifying anonymized data. In addition, while encryption helps preserve privacy while data is stored on hard drives or moving over networks,

Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning Read More +

Graphcore Secures Additional $150 Million in New Capital

Graphcore, News /

Reports Fiscal 2019 business highlights 25 February 2020, Bristol: Graphcore has secured an additional $150 million in new capital to secure its position as the leading pure-play machine intelligence AI processor company. The private placement has been made by leading financial asset managers, growth equity funds and investment trusts and includes new investors Baillie Gifford,Mayfair

Graphcore Secures Additional $150 Million in New Capital Read More +

New Lattice mVision Solutions Stack Accelerates Low Power Embedded Vision Development

Lattice Semiconductor, News /

Lattice Extends its Leadership in Delivering Complete, Easy-to-Use Solutions Stacks Solutions stack includes customizable reference designs for popular embedded vision use cases such as image sensor bridging, aggregation, splitting, and processing Includes support for new Lattice Nexus™ platform and CrossLink-NX™ FPGAs Accelerates development of many industrial, automotive, consumer, smart home, and medical applications including machine

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Out Now: New MIPI CSI-2 Adapter Boards and CSI-2 Driver for Allied Vision’s Alvium Cameras

Allied Vision, News /

Allied Vision releases additional adapter boards and driver for the Alvium CSI-2 camera series Stadtroda, Germany, February 24, 2020 – With the release of new MIPI CSI-2 adapter boards and CSI-2 drivers, Allied Vision further extends the possibilities to easily integrate Alvium CSI-2 cameras into embedded systems. CSI-2 adapter boards Allied Vision has developed adapter

Out Now: New MIPI CSI-2 Adapter Boards and CSI-2 Driver for Allied Vision’s Alvium Cameras Read More +

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