Introduction Simulation models are helpful in anticipating future trends and developing effective tobacco control policies to ...

The enormous computing demands of AI and high-performance computing (HPC) applications are putting intense pressure on every ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...

In any multi-die assembly, stacking two or more active dies results in thermal stress. Heat dissipated from a lower die faces ...

The combination of digital twins, AI, and real-world learning helped Amazon engineers build Blue Jay in record time.

Nexar, a leader in AI-powered mobility solutions, today announced the launch of BADAS (Beyond ADAS), a foundation model that redefines how the industry approaches vehicle safety and autonomy. Built on ...

In this week’s edition of The Prototype, we look at why AI models struggle with finance, a revolutionary superconducting ...

Advanced Pharmacometric Simulation & Modeling Masterclass is a comprehensive two half-day virtual masterclass designed to foster effective interdisciplinary collaboration between pharmacometricians ...

At ROSCon 2025 in Singapore, NVIDIA announced major collaborations and open-source tools to advance robotics development on ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...