Introduction Simulation models are helpful in anticipating future trends and developing effective tobacco control policies to ...
Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is ...
The enormous computing demands of AI and high-performance computing (HPC) applications are putting intense pressure on every ...
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 ...
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 ...
The combination of digital twins, AI, and real-world learning helped Amazon engineers build Blue Jay in record time.
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, ...
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 ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Slingshot Aerospace, Ltd., the leader in AI-powered solutions for satellite tracking, space traffic coordination and space modeling and simulation, announced today it has been awarded the United ...
It shapes the beliefs and behaviors of a nation and its military. Extended periods of hegemony for a nation, like ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results