Parallel Systems, a Los Angeles-based company that launched in 2020, is developing an autonomous, battery-powered train to ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Abstract: Accurate and timely traffic forecasting is essential for ensuring the efficiency, reliability, and safety of modern transportation networks. However, urban traffic exhibits high levels of ...
Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about artificial intelligence and custom GPTs—tailored AI models that users could ...
Cursor’s new Composer model, built for low-latency agentic coding, completes most iterations in under 30 seconds, according ...