Linking AI models to formal verification methods can correct LLM shortcomings such as false assertions. Amazon's Byron Cook explains the promise of automated reasoning.

Thinking-2507, as we'll call it for short, now leads or closely trails top-performing models across several major benchmarks.

"I put it in the model, this is GPT-5, and it answered it perfectly," Altman said, saying it gave him a "weird feeling" to ...

The model reveals that more connected brain regions are more prone to damage, while isolated areas remain resilient. This approach offers a powerful framework for understanding disease progression and ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

The stability and user trust in cloud services depends on prompt detection and response to diverse anomalies. This study focuses on an Ensemble-based anomaly detection methodology that integrates log ...

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open ...

The new AI model processes behavioural data, instead of raw sensor signals, from Apple Watch to predict health conditions.

Vision-Language-Action (VLA) models have shown remarkable potential in visuomotor control and instruction comprehension through end-to-end learning processes. However, current VLA models face ...

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a potential solution. Their new model architecture, FlexOlmo, allows ...