New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...
Discover essential risk assessment methods, including qualitative and quantitative analyses, to make informed investment ...
Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...
Scientists at Pompeu Fabra University (UPF) have made a great leap forward in predicting the risk of hip fracture among women ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback