December 17, 2019

Free Webinar Explores an Energy-efficient Architecture for Deep Learning Processing

On December 17, 2019 at 9 am PT (noon ET), Uri Weiser, emeritus professor in the Electrical Engineering department at Technion IIT, and Avi Baum, co-founder and CTO of Hailo, will co-present the free one-hour webinar "A Computer Architecture Renaissance: Energy-efficient Deep Learning Processors for Machine Vision," organized by the Embedded Vision Alliance. Here's the description, from the event registration page:
November 21, 2019

Free Webinar Explores Delivering Milliwatt AI to the Edge with Ultra-Low Power FPGAs

On November 19 and 21, 2019 Lattice Semiconductor's Hussein Osman, Consumer Segment Manager, and Hoon Choi, Fellow and Head of AI/ML development, will co-present two sessions of a free one-hour webinar, "Delivering Milliwatt AI to the Edge with Ultra-Low Power FPGAs," organized by the Embedded Vision Alliance. The first session will take place at 11 am PT (2 pm ET) on the 19th, timed for attendees in the Americas.
November 19, 2019

Facebook’s DeepFovea AI Promises Power-efficient VR Foveated Rendering

A new approach uses AI to imagine the pixels in your peripheral vision, cutting down on actual pixels sent over a video stream.

November 18, 2019

Microsoft and Graphcore Collaborate to Accelerate Artificial Intelligence

November 13, 2019 - Today we are very excited to share details of our collaboration with Microsoft, announcing preview of Graphcore® Intelligence Processing Units (IPUs) on Microsoft Azure. This is the first time a major public cloud vendor is offering Graphcore IPUs which are built from the ground up to support next generation machine learning. It’s a landmark moment for Graphcore and is testament to the maturity of our patented IPU technology, both of our IPU hardware and of our Poplar® software stack.
November 18, 2019

Facebook’s MoCo Closes the Gap Between Supervised and Unsupervised Learning in Vision Tasks

The raw signals in tasks like image classification are in a continuous, high-dimensional space that isn’t structured for human communication

November 13, 2019

Introducing the Next Generation of On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU

Bringing on-device machine learning to compute and power-limited devices has spurred the development of efficient models and hardware.

November 13, 2019

The Visual Task Adaptation Benchmark

Deep learning has revolutionized computer vision, with state-of-the-art deep networks learning useful representations from raw pixels.

November 13, 2019

Free Webinar Explores a Dynamically Reconfigurable Hybrid Approach to Embedded Vision Processing

On November 13, 2019 at 10 am PT (1 pm ET), Renesas Electronics America's Greg Lara, Senior Product Marketing Manager in the Cognitive Products Department, within the company's Enterprise Infrastructure Business Division, will present a free one-hour webinar, "Renesas' Dynamically Reconfigurable Processor (DRP) Technology Enables a Hybrid Approach for Embedded Vision Solutions," organized by the Embedded Vision Alliance.
November 12, 2019

Intel Speeds AI Development, Deployment and Performance with New Class of AI Hardware from Cloud to Edge

What’s New: Today at a gathering of industry influencers, Intel welcomed the next wave of artificial intelligence (AI) with updates on new products designed to accelerate AI system development and deployment from cloud to edge. Intel demonstrated its Intel® Nervana™ Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000) — Intel’s first purpose-built ASICs for complex deep learning with incredible scale and efficiency for cloud and data center customers.
November 12, 2019

Mobileye and NIO Partner to Bring Level 4 Autonomous Vehicles to Consumers in China and Beyond

What’s New: Mobileye, an Intel company, and NIO, a pioneer in China’s premium electric vehicle market, are engaging in a strategic collaboration on the development of highly automated and autonomous vehicles (AV) for consumer markets in China and other major territories.