Computer Sciences news

Computer Sciences

Popular vs. reliable sources—a blind spot in how LLMs assess information

Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different ...

Computer Sciences

EAR-Sys could reduce airport computing delays by 14% during major disruptions

Airports could become better able to withstand major operational disruptions under a new computing system designed to keep digital services running during periods of intense pressure. Details are reported in the International ...

Computer Sciences

AI gains a tool to identify Kinyarwanda propaganda, with promise for 600 Bantu languages

A new study led by Fabrice Niyigaba '27 reports the first digital tool for identifying online propaganda in Kinyarwanda, the national language of Rwanda's 15 million people—and possibly the first for any of the Bantu languages ...

Computer Sciences

New tool identifies the sources of fake videos

Artificial intelligence can generate videos so realistic that distinguishing them from authentic footage is becoming increasingly difficult. But a computer science team led by researchers at UC Riverside has developed a tool ...

Computer Sciences

Professor pushes computers to solve 'unsolvable' problems

Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny yes-or-no decisions. Finding the best combination of answers could be the key to anything from ...

Computer Sciences

Researchers develop key technology to make personalized AI safer

The era of building "personalized AI" by training AI models on individual or corporate documents and data is beginning. However, while such customization can improve task performance, it can also weaken a model's existing ...

Computer Sciences

Testing the limits of what's possible (and what isn't) with AI

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.

Computer Sciences

Building out the quantum computing toolkit

Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are few simple, standardized operations, known as "primitives," in the quantum toolkit that can help ...

Computer Sciences

Easier parameter tuning for prediction using echo state networks

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These networks consist of layers of interconnected nodes, or artificial neurons, that learn patterns from data ...

Robotics

New control system teaches soft robots the art of staying safe

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment ...

Software

AI tool created to help sight-impaired programmers

A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D ...

Computer Sciences

Enhancing navigability for tributaries

Inland waterway transportation has played a limited role in Europe so far, with a share of about 6%. Together with 15 partners, Fraunhofer researchers are seeking to change this with the EU project CRISTAL.

Computer Sciences

Researchers extend tensor programming to the continuous world

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation using arrays—collections ...

Computer Sciences

AI decodes pianists' muscle activity via video

AI and human-movement research intersect in a study that enables precise estimation of hand muscle activity from standard video recordings. Using a deep-learning framework trained on a large, comprehensive multimodal dataset ...

Computer Sciences

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze ...

Computer Sciences

Six criteria for the reliability of AI

Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund ...