A new study shows that fine-tuning ChatGPT on even small amounts of bad data can make it unsafe, unreliable, and veer it wildly off-topic. Just 10% of wrong answers in training data begins to break ...

In recent years, the development of autonomous AI agents capable of independently building and deploying code has gained ...

In the OSWorld-Verified Foundation E2E GUI & Specialized Model test, Mano achieved a single-run success rate of 40.1%, with an overall average performance of 41.6 ± 0.7%, surpassing global ...

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

UK AI startup Wayve, in collaboration with Nissan, is testing its self-driving technology on Tokyo streets to advance its ...

Explore how enterprise security aligns with digital transformation in 2025, leveraging AI, cloud, and risk management for resilient growth.

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...

Picture a space where innovators can try out new tools without fear of legal or regulatory penalty — somewhere they can test AI-powered tutoring systems, see ...

Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) fine-tuning are two common methods for post-training large models. While reinforcement learning fine-tuning has made significant progress ...