Deep Dive: Managing the Petabyte-Scale AV Video Data Bottlenecks
ML-Safe Testing Series, Part 3: Optimized video data processing for AV – 20%-50% file size reduction with remarkable detection,…
ML-Safe AV Video Data Processing Achieves Up to 50% Storage Reduction
ML-Safe Testing Series, Part 2: Benchmark testing shows how AV developers can achieve greater savings across storage, networking and compute…
Beamr is Pushing the Boundaries of AV Data Efficiency, Accelerated by NVIDIA
Designed to protect visual fidelity, Beamr’s solution helps address the infrastructure challenges associated with autonomous vehicle…
How Content-Adaptive Video Compression Tackles Autonomous Vehicle Data Explosion
By Ronen Nissim and Tamar Shoham Overview The explosion of video data in autonomous vehicles (AVs) systems presents a critical challenge to…
Using Beamr Cloud Optimized AV1 Encodes for Machine Learning Tasks
Now available: Hardware accelerated, unsupervised, codec modernization to AV1 for increased efficiency video AI workflows AV1, the new kid on…
Beamr Tech boosts Video Machine Learning: Taking a look at training
Introduction Machine learning for Video is an expanding field, garnering vast interest, with generative AI for video picking up speed. However…
Beamr CABR Poised to Boost Vision AI
By reducing video size but not perceptual quality, Beamr’s Content Adaptive Bit Rate optimized encoding can make video used for vision AI…