Beamr Imaging Ltd. demonstrated that training AI models on video compressed with its patented Content-Adaptive Bitrate (CABR) technology reduces depth estimation errors by 30.7% for vulnerable road users like pedestrians and motorcyclists. This approach also cuts video file sizes by 35.2%, lowering storage and network costs while enhancing AI model resilience. The findings suggest that adaptive compression can be a valuable tool in AI development pipelines, especially for autonomous vehicles and machine vision applications, rather than just a cost-saving measure. Beamr plans to continue validating this technology across various AI workflows.
National Beverage faces stagnant growth as LaCroix volumes have declined for four straight years, reducing brand excitement. The stock trades at reasonable multiples reflecting muted growth and no clear catalysts for upside. Despite stable gross marg...
Arthur Hayes reversed his crypto strategy by purchasing over $3.7 million worth of Ethereum after selling 6,000 ETH at a loss of about $606,000 just weeks prior. This move follows his pattern of bold crypto trades and quick exits, which have drawn cr...
A bitcoin wallet that had been inactive since 2017 moved its entire holding of 5,908 BTC, now worth about $383 million, to a new, unidentified address. The coins were originally bought near bitcoin's 2017 peak at around $16,000 each and have gained r...
Zcash (ZEC) is approaching the $600 mark after breaking out of a multi-week consolidation, showing strong bullish momentum. The price has surpassed key moving averages and resistance levels, supported by healthy trading volume and positive technical ...
The US will impose a 25% tariff on most imports from Brazil starting July 22, following a yearlong investigation into alleged unfair trade practices by Brazil. The tariffs target issues such as Brazil's demands on US tech firms to remove political co...
