Karl Fischer (KF) titration is a widely used method for water content determination due to its high selectivity to water ...

In a paper published last year, Shumailov called this “model collapse,” a process by which an AI system becomes, in his words ...

Abstract: Post-training quantization (PTQ) has stood out as a cost-effective and promising model compression paradigm in recent years, as it avoids computationally intensive model retraining.

Abstract: Reinforcement learning (RL) controllers are flexible and performant but rarely guarantee safety. Safety filters impart hard safety guarantees to RL controllers while maintaining flexibility.

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Researchers studying how large AI models such as ChatGPT learn and remember information have discovered that their memory and ...

Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...

With just three months left for Class 12 Boards, smart planning, focused revision and balanced prep can help you stay confident and score big in Boards exams.

Owing to its obvious lack of aerodynamics, the B-2’s flight envelope is fairly narrow—but within it, the bomber is designed ...

Introduction Burnout and reduced well-being are highly prevalent among Japanese medical students during clinical training. Scalable, evidence-based interventions are urgently needed. This protocol ...