As artificial intelligence continues to evolve, the drive to make AI robots more human-like in their interactions is a focal ...
TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session. The reinforcement learning market has exploded, with enterprises ...
Aligned with Duke Engineering’s Character Forward initiative, Professor Siobhan Oca’s Ethics in Robotics and Automation course (ME 490) challenges students to see beyond technical skills and practice ...
In a nascent and fragmented regulatory environment, focusing on the ethical implications of the company’s AI activities is a prudent strategy for board oversight of AI risk.
Every generation of military leaders looks for the next big edge. For my generation, it was technology, smarter systems, ...
Anthropic Co-Founder Jack Clark's urgent warnings about AI's unpredictable behavior and why global collaboration is crucial ...
Abstract: This systematic literature review explores the application of multimodal learning analysis (MMLA), with physiological signals collected through wearable devices as the primary data source, ...
Abstract: Train Timetable Rescheduling (TTR) is a crucial task in the daily operation of high-speed railways to maintain punctuality and efficiency in the presence of unexpected disturbances. However, ...
There are already existing applications across industries that demonstrate how Agentic AI is reshaping businesses to be smarter, faster, and more resilient. As citizens and customers across many ...
What QeRL changes in the Reinforcement Learning (RL) loop? Most RLHF/GRPO/DAPO pipelines spend the bulk of wall-clock time in rollouts (token generation). QeRL shifts the policy’s weight path to NVFP4 ...
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