A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

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 ...

If you’ve ever watched a heist movie, you know the drill: before the actual robbery, the crew runs through simulations, testing security systems, identifying weak points, and rehearsing their approach ...

The study shows a critical gap in modern urban informatics. Synthetic data and digital twin models, the authors note, have ...

Engineers at the University of California San Diego have created a new method to make large language models (LLMs) — such as the ones that power ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

While pretraining introduces unavoidable statistical errors, the study argues that post-training and evaluation practices ...

Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

Can passive crypto income fund public health research? Explore how staking, DAOs, and DeFi can power medical innovation.

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing ...