Computer Sciences news

Computer Sciences

New 3D benchmark leaves AI in knots

Today's artificial intelligence models can't even tie their own shoes.

Computer Sciences

How AI helps solve problems it doesn't even understand

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without actually "understanding" ...

Computer Sciences

AI agents debate their way to improved mathematical reasoning

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information and even to code websites ...

Computer Sciences

'Periodic table' for AI methods aims to drive innovation

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, audio and video. One challenge slowing advances in multimodal AI, however, is the process of choosing ...

Computer Sciences

New system efficiently explains AI judgments in real-time

A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank Corp, has developed an accelerated explanation technology that can explain the basis of an artificial ...

Computer Sciences

AI can pick up cultural values by mimicking how kids learn

Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on data from the entire internet won't work equally well for people from different ...

Computer Sciences

New method improves the reliability of statistical estimations

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like economics, epidemiology, and ...

Computer Sciences

Making simulations more accurate than ever with deep learning

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A Kobe University team has ...