It's not just what is said but how it's articulated that shapes the meaning of human communication, and people use intonation to highlight the most important part of a sentence. Take, for instance, the sentence "Molly mailed a melon." If someone asks, "Who mailed the melon?" people are most likely to stress "Molly mailed a melon." If someone inquired what Molly did with the melon, it would be "Molly mailed a melon." If the question was what Molly mailed, the response is "Molly mailed a melon."

Criminals can use artificial intelligence, specifically large language models, to autonomously carry out ransomware attacks that steal personal files and demand payment, handling every step from breaking into computer systems to writing threatening messages to victims, according to new research from NYU Tandon School of Engineering posted to the arXiv preprint server.

Europe's fastest supercomputer Jupiter was inaugurated Friday in Germany with Chancellor Friedrich Merz saying it could help the continent catch up in the global artificial intelligence race.

As generative AI models move from massive cloud servers to phones and cars, they're stripped down to save power. But what gets trimmed can include the technology that stops them from spewing hate speech or offering roadmaps for criminal activity.

New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI tools.

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, potentially saving manufacturers hundreds of hours of planning time and unlocking new levels of flexibility and efficiency.

Making AI quicker, smarter and better is proving to be a very expensive business. Companies like OpenAI are investing billions of dollars in hardware, and the likes of Meta are offering top (human) talent huge salaries for their expertise.

Next time a Starbucks barista tells you that your favorite latte flavor is out of stock, blame artificial intelligence.

A team of computer scientists at the University of Toronto recently discovered that a certain type of hardware attack is effective against graphics processing units (GPUs), the core computing engines that power today's artificial intelligence models and cloud-based machine learning services.

Artificial intelligence is growing fast, and so are the number of computers that power it. Behind the scenes, this rapid growth is putting a huge strain on the data centers that run AI models. These facilities are using more energy than ever.

For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle with a few basic human tasks. One of the most significant challenges is dexterity, which refers to the ability to grasp, hold and manipulate objects. Until now, that is. Scientists from the Toyota Research Institute in Massachusetts have trained a robot to use its entire body to handle large objects, much like humans do.

Disclosure, consent and platform power have become newly invigorated battlefields with the rise of AI.

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers are hard to pin down, some estimates suggest that more than 60% of data used for AI applications in 2024 was synthetic, and this figure is expected to grow across industries.

Professional sports teams pour millions of dollars into data analytics, using advanced tracking systems to study every sprint, pass, and decision on the field. The results of that analysis, however, are industry secrets, making many sports difficult for researchers to study.

In everyday life, it's a no-brainer to be able to grab a cup of coffee from the table. Multiple sensory inputs such as sight (seeing how far away the cup is) and touch are combined in real-time. However, recreating this in artificial intelligence (AI) is not quite as easy.

Johns Hopkins computer scientists have discovered that artificial intelligence tools like ChatGPT are creating a digital language divide, amplifying the dominance of English and other commonly spoken languages while sidelining minority languages.

Anthropic announced Tuesday that it raised $13 billion in a funding round valuing the artificial intelligence startup at $183 billion.

The Emerging Investigator Series by the journal Materials Horizons features outstanding work by young researchers in the field of materials science. In the latest Editorial, Dr. Eunho Lee, an Assistant Professor of Chemical and Biomolecular Engineering at Seoul National University of Science and Technology, Republic of Korea, where he leads the Functional Semiconductors and Devices Lab, discusses and elaborates upon his Emerging Investigator Series research paper titled "Improving ion uptake in artificial synapses through facilitated diffusion mechanisms."

You've probably encountered images in your social media feeds that look like a cross between photographs and computer-generated graphics. Some are fantastical—think Shrimp Jesus—and some are believable at a quick glance—remember the little girl clutching a puppy in a boat during a flood?

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model is available and serves as a building block for developers and organizations for future applications such as chatbots, translation systems, or educational tools.

Artificial intelligence chatbot makers OpenAI and Meta say they are adjusting how their chatbots respond to teenagers asking questions about suicide or showing signs of mental and emotional distress.

When you chat with ChatGPT, it often feels like you're talking to someone polite, engaged and responsive. It nods in all the right places, mirrors your wording and seems eager to keep the exchange flowing.

Researchers at the University of Minnesota Twin Cities have developed aerial robots equipped with artificial intelligence (AI) to detect, track and analyze wildfire smoke plumes. This innovation could lead to more accurate computer models that will improve air quality predictions for a wide range of pollutants.

The potential abuse of consumer AI tools is raising concerns, with budding cybercriminals apparently able to trick coding chatbots into giving them a leg-up in producing malicious programs.

With jerky determination, robots played soccer, wowed children with shadow-boxing skills and shot arrows on Monday at the birthplace of the Olympic Games.

When you ask ChatGPT or other AI assistants to help create misinformation, they typically refuse, with responses like "I cannot assist with creating false information." But our tests show these safety measures are surprisingly shallow—often just a few words deep—making them alarmingly easy to circumvent.

The videos are strikingly lifelike, featuring bikini-clad women conducting street interviews and eliciting lewd comments—but they are entirely fake, generated by AI tools increasingly used to flood social media with sexist content.

When pop groups and rock bands practice or perform, they rely on their guitars, keyboards and drumsticks to make music. Oliver McCann, a British AI music creator who goes by the stage name imoliver, fires up his chatbot.

A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out "questionable" scientific journals.

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.