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Training AI Robots: Advancements in Human-Like Real-World Interactions

As artificial intelligence continues to evolve, the drive to make AI robots more human-like in their interactions is a focal ...

The post-training revolution: How reinforcement learning is upending the AI infra stack

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 ...
IEEE

Multimodal Learning Analytics Using Wearable Devices in Immersive Virtual Reality Learning Environments: A Systematic Review on Learning Indicators and Ethical Considerations

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, ...
IEEE

Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling

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, ...
marktechpost

QeRL: NVFP4-Quantized Reinforcement Learning (RL) Brings 32B LLM Training to a Single H100—While Improving Exploration

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 ...