Computer Sciences news

Computer Sciences

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first ...

Computer Sciences

New method makes neural networks three times faster in wave propagation problems

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The method significantly improves the accuracy and stability of solutions and accelerates model training ...

Computer Sciences

New AI testing method flags fairness risks in autonomous systems

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping ...

Business

Your call center rep is emotionally exhausted—their computer may know when to help

When a customer calls to complain about a billing error or a delayed package, the person on the other end of the line is doing more than answering questions.

Computer Sciences

Can AI understand literature? Researchers put it to the test

Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? ...

Computer Sciences

AI model excels in single image reflection removal

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection ...

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

What flocking birds can teach AI about reducing noise

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because they convey falsehoods, ...

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

Study shows AI can be fine-tuned for political bias

In an era where artificial intelligence is playing a growing role in shaping political narratives and public discourse, researchers have developed a framework for exploring how large language models (LLMs) can be adapted ...

Computer Sciences

New algorithm advances graph mining for complex networks

University of Virginia School of Engineering and Applied Science professor Nikolaos Sidiropoulos has introduced a breakthrough in graph mining with the development of a new computational algorithm.

Computer Sciences

New algorithm helps read QR codes on uneven surfaces

Sometimes, we try to capture a QR code with a good digital camera on a smartphone, but the reading eventually fails. This usually happens when the QR code itself is of poor image quality, or if it has been printed on surfaces ...

Computer Sciences

Study addresses challenges in digital animation of coiled hair

We have grown accustomed to seeing many aspects of our everyday world depicted using computer graphics, but some phenomena remain difficult for even the most experienced animators. Hair, specifically the highly coiled hair ...

Computer Sciences

How AI is improving simulations with smarter sampling techniques

Imagine you're tasked with sending a team of football players onto a field to assess the condition of the grass (a likely task for them, of course). If you pick their positions randomly, they might cluster together in some ...