Computer Sciences news

Computer Sciences

A better method for identifying overconfident large language models

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting ...

Robotics

Sheepdogs reveal a better way to guide robot swarms

Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a ...

Computer Sciences

Optimization method may expand impedance relays into medium-voltage distribution networks

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose significant challenges for the effective deployment of protection schemes. While impedance relays ...

Computer Sciences

AI's game-playing still has flaws: AlphaZero-style self-play tested on Nim

New research published in Machine Learning shows pattern learning is not enough to train AI to tackle games—and abstract representations or hybrid approaches may help. Many AI researchers describe game-playing as the "Formula ...

Computer Sciences

Shortest paths research narrows a 25-year gap in graph algorithms

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task to calculate distances ...

Computer Sciences

The AI that taught itself: How AI can learn what it never knew

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it stumbles. A new study ...

Computer Sciences

Improving AI models' ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one ...

Computer Sciences

Deep AI training gets more stable by predicting its own errors

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate. Scientists have long ...

Computer Sciences

Don't panic: 'Humanity's last exam' has begun

When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding ...

Computer Sciences

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming ...

Consumer & Gadgets

VR game helps police officers manage stress better

Training police officers with a virtual-reality game can significantly improve their ability to regulate stress, even in realistic, high-pressure situations. The VR game, developed at the Donders Institute at Radboud University, ...

Computer Sciences

How AI could help make society less selfish

The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial ...

Computer Sciences

New roadmap for evaluating AI morality proposed

Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing ...