June 14, 2019

Applying AutoML to Transformer Architectures

In the computer vision domain, AutoML approaches have found state-of-the-art models that outperform those that are designed by hand.

June 13, 2019

Envisioning Privacy Preserving Image-based Localization for Augmented Reality

New camera localization technology for sensitive environments can keep images and map data confidential.

June 13, 2019

Bridging the Domain Gap for Neural Models

Deep neural networks, a milestone technique in the advancement of modern machine perception systems, still suffer from poor transferability.

June 12, 2019

16-Year-Old Engineer Works to Improve Spinal Surgery Using Machine Learning and Computer Vision

PHOENIX, May 17, 2019 – Krithik Ramesh, 16, of Greenwood Village, Colorado, was awarded first place for developing a machine learning technology for orthopedic surgeons at this year’s Intel International Science and Engineering Fair (ISEF), a program of Society for Science & the Public. Intel ISEF is the world’s largest international pre-college science competition. The competition featured over 1,800 young scientists selected from 423 affiliate fairs in more than 80 countries, regions and territories.
June 6, 2019

Reliability in Reinforcement Learning

The list of potential RL applications is expansive, spanning robotics, dialogue systems, the game industry, treatment design, and so on.

June 4, 2019

Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations

Tensor networks are increasingly finding applications in machine learning. However remaining difficulties prohibit them from widespread use.

June 3, 2019

Provably Efficient Reinforcement Learning with Rich Observations

Reinforcement learning, a machine learning paradigm for sequential decision making, has stormed into the limelight.

May 31, 2019

Coral Updates: Project Tutorials, a Downloadable Compiler, and a New Distributor

Google is committed to evolving Coral to make it even easier to build systems with on-device AI.

May 30, 2019

2019 Vision Product of the Year Award Winner Showcase: Xilinx (Cloud Solutions)

Xilinx's AI Platform is the 2019 Vision Product of the Year Award Winner in the Cloud Solutions category. Xilinx’s AI Platform provides a comprehensive set of software and IP to enable hardware accelerated AI inference applications. AI vision applications, which rely on convolutional neural networks, are a major target for the Xilinx AI Platform.
May 30, 2019

2019 Vision Product of the Year Award Winner Showcase: Synopsys (Processors)

Synopsys' EV6x Embedded Vision Processor with Safety Enhancement Package (SEP) Family is the 2019 Vision Product of the Year Award Winner in the Processors category. Automotive SoC designers must meet stringent requirements for safety and reliability as defined in the ISO 26262 standard to achieve Automotive Safety Integrity Level (ASIL) targets. Furthermore, the IP — such as Embedded Vision Processors — that is integrated into the SoC must also meet the same safety and reliability requirements.