The integration of automated vehicles promises several benefits for urban mobility, including increased safety, reduced traffic congestion, and enhanced accessibility. Automated vehicles also enable drivers to engage in non-driving related tasks (NDRTs) like relaxing, working, or watching multimedia en route.

In the ambitious pursuit to tackle the harms from false content on social media and news websites, data scientists are getting creative.

In recent years, roboticists have introduced robotic systems that can complete missions in various environments, ranging from the ground to underground, aboveground and underwater settings. While several of these robots can grasp and move objects on the ground, the handling of objects by robotic systems underwater has so far proved more challenging.

A quiz bowl is usually an academic competition in which teams of students, typically from high schools or universities, compete by answering questions across a variety of subjects, such as history, science, literature, and current events. The format is often fast-paced, with teams buzzing in to answer questions posed by the moderator. Correct answers earn points, and the team with the most points at the end of the game wins.

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 representation and fusion of different types of remote sensing images.

Energy storage is an essential part of many rapidly growing sustainable technologies, including electric cars and renewable energy generation. Although lithium-ion batteries (LIBs) dominate the current market, lithium is a relatively scarce and expensive element, creating both economic and supply stability challenges. Accordingly, researchers all over the world are experimenting with new types of batteries made from more abundant materials.

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.

Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that mimics the human sense of smell to detect and track toxic gases in real time. Using advanced artificial neural networks combined with a network of sensors, the system quickly identifies the source of harmful gases like nitrogen dioxide (NO₂) that poses severe respiratory health risks.

On a train or bus, or just standing in a queue, the most common sight these days is the muted glow of a screen, and the flickering thumbs of people lost in the endless scroll on their smartphones.

Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are trained to predict words that come next in a piece of text.

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 step toward improving online music education by developing an AI tool that can recognize musical notation is described in a paper published in the International Journal of Wireless and Mobile Computing.

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.

Imagine being a passenger in a self-driving car as the vehicle starts veering off the road. It's not a faulty sensor causing the dangerous situation—it's a cyberattack. Hackers can access the deep learning (DL) neural networks at the heart of the vehicle's computer system, compromising the safety of its passengers, as well as other drivers and pedestrians.

Artificial intelligence software initially designed to learn and analyze Martian terrain is now at the heart of a system to monitor assembly lines on Earth.

Artificial intelligence (AI) has permeated our lives. Our phones unlock at the sight of our faces. We can have entire text conversations with ChatGPT. Amazon knows what I am looking for, and my email finishes my sentences with uncanny accuracy.

Miso Robotics' lab in downtown Pasadena, California, is filled with robots of the past and present.

The internet search engine of the future will be powered by artificial intelligence. One can already choose from a host of AI-powered or AI-enhanced search engines—though their reliability often still leaves much to be desired. However, a team of computer scientists at the University of Massachusetts Amherst recently published and released a novel system for evaluating the reliability of AI-generated searches.

Despite recent economic headwinds, the video game industry continues to be one of entertainment's most profitable businesses.

OpenAI is launching a ChatGPT-powered search engine that could put the artificial intelligence company in direct competition with Google and affect the flow of internet traffic seeking news, sports scores and other timely information.

Relief carvings or relief sculptures are cultural heritage objects with figures that protrude from a background such as a wall or slab, creating a sense of depth. Commonly found at historical sites worldwide, these artworks are considered to be of immense historical and cultural value.

Large language models (LLMs) such as ChatGPT have grown so advanced that they can even pass the US Medical Licensing Exam. But how good are peer reviewers at AI detection, and how does the use of AI affect their perceptions of the work?

The future of hiring, it seems, is automated. Applicants can now use artificial intelligence bots to apply to job listings by the thousands. Companies—which have long automated parts of the process—are now deploying the latest AI large language models to write job descriptions, sift through resumes and screen applicants. An estimated 99% of Fortune 500 companies now use some form of automation in their hiring process.

Last week, the tragic news broke that US teenager Sewell Seltzer III took his own life after forming a deep emotional attachment to an artificial intelligence (AI) chatbot on the Character.AI website.

A video game in which participants herded virtual cattle has furthered our understanding of how humans make decisions on movement and navigation, and it could help us not only interact more effectively with artificial intelligence, but even improve the way robots move in the future.

German industrial giant Siemens announced Wednesday it had acquired software specialist Altair Engineering, valuing the US company at around $10 billion, with the aim of strengthening its position in artificial intelligence.

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 might be overly repetitious. It might get you thinking, "Did a human write this or was it generated by artificial intelligence?"

Traditional city planning methods require significant technical expertise and manual work. A Virginia Tech researcher is working to change that.

A team including researchers from Seoul National University College of Engineering has developed neuromorphic hardware capable of performing artificial intelligence (AI) computations with ultra-low power consumption. The research, published in the journal Nature Nanotechnology, addresses fundamental issues in existing intelligent semiconductor materials and devices while demonstrating potential for array-level technology.

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 team by incorporating cognitive styles into large language models, empowering teams to more easily harness individuals' unique strengths.