Computer Sciences news

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 ...

Electronics & Semiconductors

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and communication devices. Before researchers make new semiconductor materials in the lab, they often test them ...

Internet

Dark web survey reveals Tor is smaller, shakier and more duplicated than expected

A study led by researchers from IMDEA Networks and Carlos III University of Madrid (UC3M) has carried out the first large-scale analysis of the volatility, content and actual infrastructure of hidden websites on the so-called ...

Computer Sciences

Forgetting may be the secret to better AI language learning

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, Abishek Thamma (University of Amsterdam) and Micha Heilbron (Max Planck Institute for Psycholinguistics) ...

Computer Sciences

How AI helps World Cup referees make the call

More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision technology to help referees ...

Computer Sciences

Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial intelligence, according to a researcher at Missouri S&T. "With the way AI algorithms are currently structured, ...

Computer Sciences

Single snapshot unlocks 3D depth with coded aperture and AI

A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple task. Many attempts have been made to develop a method to reconstruct both depth and sharp color ...

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 ...

Computer Sciences

Brain-inspired computing may boil down to information transfer

The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing ...

Computer Sciences

Brain-inspired chaotic spiking backpropagation

Since it was discovered in the 1980s that learning in the rabbit brain utilizes chaos, this nonlinear and initially value-sensitive dynamical behavior has been increasingly recognized as integral to brain learning.

Computer Sciences

Q&A: How to train AI when you don't have enough data

Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.

Computer Sciences

Artificial intelligence boosts super-resolution microscopy

Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.