A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a frequency domain-independent feature learning framework that allows for better […]
A team of computer scientists and AI researchers at the University of California, San Diego, working with a colleague from Tsinghua University, has developed a tactic that helps LLM models more easily determine when they […]
Artificial intelligence (AI) systems have become increasingly better at synthesizing images and videos showing humans, animals and objects. The automated generation of videos in which human characters engage in specific activities could have various valuable […]
Alongside artificial intelligence, quantum computing is one of the fastest-growing subsets in the high-performance computing community. But what happens when this relatively new and powerful computing method reaches the limit of the cyberinfrastructure and network […]
The advent of the internet has changed the way people access and share information, making it easier for malicious individuals to spread biased, unreliable or false news. Recent technological advances, including artificial intelligence (AI) models […]
Getting to the heart of causality is central to understanding the world around us. What causes one variable—be it a biological species, a voting region, a company stock, or a local climate—to shift from one […]
Have you ever looked at a piece of writing and thought something might be “off”? It might be hard to pinpoint exactly what it is. There might be too many adjectives or the sentence structure […]
Researchers have long sought to harness the power of light for computing, aiming to achieve higher speeds and lower energy consumption compared to traditional electronic systems. Optical computing, which uses light instead of electricity to […]
A work environment that supports diverse problem solvers is a nonnegotiable for successful design teams. Chris McComb, expert on human-AI teaming, and his team of researchers are bridging the cognitive gaps between members of a […]
Cornell researchers developed a more equitable method for choosing top candidates from a large applicant pool in cases where insufficient information makes it hard to choose.This article is brought to you by this site.
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