Recently, LinkedIn announced its Hiring Assistant, an artificial intelligence "agent" that performs the most repetitious parts of recruiters' jobs—including interacting with job candidates before and after interviews. LinkedIn's bot is the highest-profile example in a growing group of tools—such as Tombo.ai and Moonhub.ai—that deploy large language models to interact with job seekers.

Devising countermeasures for improving pedestrian safety, especially targeted measures for severe and non-severe crashes, is crucial for road authorities. However, such efforts predominantly rely on police-reported crash data, facing obvious and ethical issues and hindering proactive safety management.

Asking children "What does a scientist look like?" now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers reporting in the Journal of Chemical Education prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender, racial or disability diversity among real chemists today.

Federal funding for cognitive research in the late 1970s and early 1980s unexpectedly led to significant advancements in artificial intelligence. This research transformed our understanding of human cognition through computational models and also laid the groundwork for the deep learning systems driving today's AI technology.

Microsoft CEO Satya Nadella told customers at a conference in Chicago on Tuesday that the company is teaching a new set of artificial intelligence tools how to "act on our behalf across our work and life."

Imagine having a live art class taught by Leonardo da Vinci, or having a fully interactive discussion about the meaning of life with Socrates. You can now do this in your living room with a laptop and headset through startups like Ireland's Engage XR and Sweden's Hello History, combining the capabilities of artificial intelligence (AI) and the metaverse.

Yahya Sinwar, the former leader of the Hamas militant organization, was killed by the Israeli military in the south Gazan city of Rafah in October 2024. Given the role Sinwar played in the planning and execution of the October 7 terrorist attack, as well as his role in the development of Hamas's military wing, his killing was seen as a possibly game-changing victory for the Israeli prime minister Benjamin Netanyahu.

The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know that the larger a neural network is (i.e., the more parameters it has), the better it can learn the task we set for it.

How will the internet evolve in the coming decades?

Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM's power typically requires users to send their requests to a centralized server—a process that's expensive, energy-intensive and often slow.

In Greek mythology, Prometheus is credited with giving humans fire as well as the "spark" that spurred civilization. One of the unintended consequences of Prometheus's "gift" was that the need for celestial Gods diminished. Modern humans have been up to all sorts of things that present similar unintended consequences, from using CFCs that led to a hole in the ozone layer to building systems that they do not understand or cannot fully control.

Smart homes have become increasingly popular in recent years. Where once they simply referred to automated systems for things like lighting and heating, nowadays the definition has expanded to include voice assistants and a wide variety of sensors and remotely programmable devices. In the UK, ownership of smart-home devices has doubled in the past five years.

As artificial intelligence (AI) continues to reshape industries and transform workplaces, it's imperative that organizations and leaders examine not only its impact on productivity, innovation and economic gains, but also the ethical implications tied to these transformative technologies.

People write with personal style and individual flourishes that set them apart from other writers. So does AI, including top programs like Chat GPT, new Johns Hopkins University-led research finds.

In a review paper published recently in Science Robotics a cognitive roboticist, cognitive psychologist and a psychiatrist discuss the concept of "sense of self" in humans, and they explore how robots can be used to better understand the phenomenon.

The deployment of robot teams could allow humans to complete various real-world tasks faster and more efficiently. For instance, multiple co-operating robots could help to quickly find and rescue survivors of natural disasters or monitor pollution across large geographical areas.

QUT biomedical engineers have developed a new automated method to drastically advance melt electrowriting, a new, high-resolution 3D printing technology used in tissue engineering and regenerative medicine.

A quietly growing belief in Silicon Valley could have immense implications: the breakthroughs from large AI models -– the ones expected to bring human-level artificial intelligence in the near future –- may be slowing down.

"We have entered the Intelligence Age," proclaimed Sam Altman, the chief executive of OpenAI, in September. "Deep learning worked," he explained, and this breakthrough in learning from data will unleash a smart era in which the more data becomes available, "the better it gets at helping people solve hard problems."

Police departments around the world are increasingly using body-worn cameras in an attempt to improve public trust and accountability. But this has created huge amounts of data, about 95% of which is never reviewed or even seen.

Large language models are everywhere, including running in the background of the apps on the device you're using to read this. The auto-complete suggestions in your texts and emails, the query responses composed by Gemni, Copilot and ChatGPT, and the images generated from DALL-E are all built using LLMs.

Road surface information plays an essential role across multiple sectors, influencing everything from transportation safety to economic growth and environmental sustainability. Knowing whether a road is paved or unpaved can impact decision-making for route planning and emergency responses.

Researchers at the National Institute of Standards and Technology (NIST) have developed a way to use sound to detect when lithium-ion batteries are about to catch fire. The NIST team included Wai Cheong "Andy" Tam and Anthony Putorti.

A former CEO and executive chairman of Google, recently suggested that the tech giant's apparent lag in AI development was due to the company prioritizing employees' personal well-being over progress. Eric Schmidt told an audience: "Google decided that work-life balance and going home early and working from home was more important than winning."

The rigid structures of language we once clung to with certainty are cracking. Take gender, nationality or religion: these concepts no longer sit comfortably in the stiff linguistic boxes of the last century. Simultaneously, the rise of AI presses upon us the need to understand how words relate to meaning and reasoning.

Imagine this: You're at an office job, wearing noise-canceling headphones to dampen the ambient chatter. A co-worker arrives at your desk and asks a question, but rather than needing to remove the headphones and say, "What?", you hear the question clearly.

Scientists from the University of Surrey are teaching artificial intelligence models to re-light different body types and clothing without the need for 3D modeling. This may have a positive impact on the film, television and gaming industries in the near future.

What happens when the technology meant to protect marginalized voices ends up silencing them? Rebecca Dorn, a research assistant at USC Viterbi's Information Sciences Institute (ISI) has uncovered how large language models (LLMs) that are used to moderate online content are failing queer communities by misinterpreting their language.

Technology firms are ceaselessly promoting new AI products, but climate activist Sage Lenier says AI is useless, unsustainable and has given the industry an existential problem.

As the International Rescue Committee copes with dramatic increases in displaced people in recent years, the refugee aid organization has looked for efficiencies wherever it can—including using artificial intelligence.