Brian Dipert

Global Smart-city Artificial Intelligence Software Revenue Set to Rise Sevenfold by 2025, Spurred by Advancing AI and Connectivity Technologies

Software solutions migrate online to capitalize on AI innovations; video surveillance represents a key driver The advent of 4G and 5G internet of things (IoT)-based connectivity is spurring the online migration of smart-city applications, helping generate a more than sevenfold increase in smart-city artificial intelligence (AI) software revenue by 2025. The global smart-city AI software […]

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Accelerating WinML and NVIDIA Tensor Cores

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Every year, clever researchers introduce ever more complex and interesting deep learning models to the world. There is of course a big difference between a model that works as a nice demo in isolation and a model that

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BrainChip Announces Wafer Fabrication of the Akida System-on-Chip

Aliso Viejo, California – April 8, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power, high performance AI technology announced that the Company and Socionext Inc., its development, manufacturing and commercial partner, have provided its wafer fabrication partner, TSMC, with the completed Akida design files and the Multi-Project Wafer (MPW) is

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A Breath of Fresh Air: How GE Healthcare is Accelerating Pneumothorax Detection with AI

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Medical imaging data contains the power to save lives. Every tiny sliver of an image potentially holds the key to hugely important breakthroughs in treatment. And this year alone, hospitals produced over 50 petabytes of data, with

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April 8, 2020 Edge AI and Vision Alliance Member Briefing Presentations

The PDF files linked to below are the presentations from the April 8, 2020 Edge AI and Vision Alliance Member Briefing. Please be aware that these materials are for Alliance Member company internal use only. April 8, 2020 Edge AI and Vision Alliance Member Briefing (Alliance) April 8, 2020 Edge… April 8, 2020 Edge AI

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Machine Vision: MVTec Presents New and Optimized Features with HALCON 20.05

Rapid access to product improvements, thanks to short release cycles Deep learning training right on the CPU To be released on May 20, 2020 Munich, April 08, 2020 – MVTec Software GmbH (www.mvtec.com), the leading international provider of machine vision software, will launch a new Progress release of its standard software HALCON on May 20, 2020.

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CEVA Announces Industry’s First High Performance Sensor Hub DSP Architecture

SensPro™ family serves as hub for processing and fusing of data from multiple sensors including camera, Radar, LiDAR, Time-of-Flight, microphones and inertial measurement units Highly-configurable and self-contained architecture brings together scalar and parallel processing for floating point and integer data types, as well as deep learning training and inferencing MOUNTAIN VIEW, Calif., – April 7,

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Robot Senses: Robots That Can See, Hear, Feel, and More

This market research report was originally published at Omdia | Tractica’s website. It is reprinted here with the permission of Omdia | Tractica. A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That is changing due to a trend toward adding vision, torque, and other

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BrainChip Introduces Company’s Event-Based Neural-Network IP and NSoC Device at Linley Processor Virtual Conference

AKD1000 is the first event-based processor for Edge AI with ultra-low power consumption and continuous learning APRIL 2, 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 it will be introducing its AKD1000 to audiences at the Linley Fall Processor Virtual Conference

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Sensors Are At the Heart Of the Robotic Mobility Disruption

OUTLINES: A new generation of robotic vehicle is bringing MaaS to the masses. High end sensor technology and raw computing power is at the center of this ongoing market disruption. Sensors for robotic vehicles will become industries of their own: 51% CAGR expected for the next 15 years. “Disruption is coming to our streets and

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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