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 ...

Consumer & Gadgets

How personalized technology could turn exercise pain into pleasure

Virtual reality (VR) video games that combine screen time with exercise are a great way to get fit, but game designers face a major challenge—like with regular exercise, adherence to "exergames" is low, with most users dropping ...

Computer Sciences

Exploring the fundamental reasoning abilities of LLMs

Reasoning, the process through which human beings mentally process information to draw specific conclusions or solve problems, can be divided into two main categories. The first type of reasoning, known as deductive reasoning, ...

Computer Sciences

Research team proposes solution to AI's continual learning problem

A team of Alberta Machine Intelligence Institute (Amii) researchers has revealed more about a mysterious problem in machine learning—a discovery that might be a major step towards building advanced AI that can function effectively ...

Computer Sciences

Google's GameNGen simulates parts of video game Doom

A team of researchers from Google Research, Google Deep Mind and Tel Aviv University reports that it is possible to use machine learning applications to recreate and simulate parts or all of an existing video game.

Computer Sciences

Universal accelerator finds faster answers to complex problems

A good machine-learning algorithm is a powerful research accelerator. Pair it with a computer simulation and it can sniff out mathematical shortcuts through the program, propelling scientists to faster insights about the ...

Computer Sciences

Without texts, automatic bug assignment still works well: Study

Automatic bug assignment has been well studied in the past decade. As textual bug reports usually describe the buggy phenomena and potential causes, engineers highly depend on these reports to fix bugs. Researchers heavily ...

Computer Sciences

New method allows AI to learn indefinitely

A team of AI researchers and computer scientists at the University of Alberta has found that current artificial networks used with deep-learning systems lose their ability to learn during extended training on new data. In ...