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 that can generate realistic texts, audio recordings and images, are further contributing to this wave of misinformation.
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 applications, for instance simplifying the creation of animated films, content for virtual reality (VR) and video games.
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 need help from an external source to provide an accurate answer.
Blindly following GPS navigation can lead to difficult situations on the road. A research team has analyzed such incidents and is in favor of delegating more personal responsibility to drivers.
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.
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 perform calculations, promises significant advantages, including high parallelism and efficiency. However, implementing complex logic operations optically has been a challenge, limiting the practical applications of optical computing.
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 state to another can inform how we might shape that variable in the future.
A tool that can watermark text generated by large language models, improving the ability for it to identify and trace synthetic content, is described in Nature this week.
Nearly 200 years after Beethoven's death, a team of musicians and computer scientists created a generative artificial intelligence (AI) that completed his Tenth Symphony so convincingly that music scholars could not differentiate the music originating from the AI or from the composer's handwritten notes.
As technology advances, the limitations of conventional electronic computers are becoming increasingly apparent, especially when tackling complex computational challenges. NP-complete problems, which grow exponentially with size, represent some of the toughest puzzles in computer science. These issues have significant implications across various fields, including biomedicine, transportation, and manufacturing. In the quest for more effective solutions, researchers are exploring alternatives to traditional computing methods, with optical computing emerging as a promising avenue.
Two experts with the OpenAI team have developed a new kind of continuous-time consistency model (sCM) that they claim can generate video media 50 times faster than models currently in use. Cheng Lu and Yang Song have published a paper describing their new model on the arXiv preprint server. They have also posted an introductory paper on the company's website.
While artificial intelligence (AI) bots can serve a legitimate purpose on social media—such as marketing or customer service—some are designed to manipulate public discussion, incite hate speech, spread misinformation or enact fraud and scams. To combat potentially harmful bot activity, some platforms have published policies on using bots and created technical mechanisms to enforce those policies.
Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like controlling the motion of a sliding object.
Researchers at Apple Computer Company have found evidence, via testing, showing that the seemingly intelligent responses given by AI-based LLMs are little more than an illusion. In their paper posted on the arXiv preprint server, the researchers argue that after testing several LLMs, they found that they are not capable of performing genuine logical reasoning.
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.
---- End of list of Tech Xplore Computer Science News Articles on this page 1 of 2 total pages ----