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 ...

Electronics & Semiconductors

Holographic displays offer a glimpse into an immersive future

Setting the stage for a new era of immersive displays, researchers are one step closer to mixing the real and virtual worlds in an ordinary pair of eyeglasses using high-definition 3D holographic images, according to a study ...

Computer Sciences

New mitigation framework reduces bias in classification outcomes

We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is often ...

Computer Sciences

New logarithmic step size for stochastic gradient descent

The step size, often referred to as the learning rate, plays a pivotal role in optimizing the efficiency of the stochastic gradient descent (SGD) algorithm. In recent times, multiple step size strategies have emerged for ...

Software

New apps help researchers with statistical analyses of data

It's a sign of the times: an app store for omics enthusiasts. The Multi-Omics Analysis Portal (MAP) by the end of 2024 will be a one-stop shop for computer applications capable of making sense of various and vast omics data. ...

Computer Sciences

Advancing brain-inspired computing with hybrid neural networks

The human brain, with its remarkable general intelligence and exceptional efficiency in power consumption, serves as a constant inspiration and aspiration for the field of artificial intelligence. Drawing insights from the ...