Tag: AI

MLCommons and AVCC Release Automotive Benchmark Proof-of-Concept

MLPerf Automotive Benchmark POC release is the first step toward a comprehensive benchmark suite for autonomous vehicles SAN JOSE, CA – JUNE 18, 2024 – MLCommons® and the Autonomous Vehicle Computing Consortium (AVCC) have achieved the first step toward a comprehensive MLPerf® Automotive Benchmark Suite for AI systems in vehicles with the release of the […]

Written by on June 18, 2024

Enhancing Automated and Assisted Driving: The Challenge of Software Interoperability

As the automotive industry continues to innovate, automated and assisted driving systems have emerged at the forefront of technological advancement. These systems promise increased safety, convenience, and efficiency on the road. However, the integration of these sophisticated systems presents significant challenges, particularly in the realm of software interoperability. Ensuring that various software components can seamlessly […]

Written by on June 11, 2024

AVCC Releases a New Report on Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems

SAN JOSE, CA – JUNE 4, 2024 – The Autonomous Vehicle Computing Consortium (AVCC) today announced the publication of Technical Report 007 (TR-007) “Compute Scenarios for Benchmarking Machine Learning for Automated and Assisted Driving Systems.” Developed collaboratively by industry experts, TR-007 provides essential guidance for Original Equipment Manufacturers (OEMs), Tier 1 suppliers, and stakeholders in […]

Written by on June 4, 2024