Science fiction has long been a window into possible futures, often anticipating technological advancements and societal shifts with surprising accuracy.

A design structure matrix (DSM) is a visual analysis tool used for system modeling. Simple and concise, it uses an NxN square matrix to represent the relationships between N system elements. Data collection for DSM generation is traditionally done via surveys and interviews, but because these require domain experts and a lot of hours or even days to go through product models, the process becomes lengthy and expensive.

A team of computer engineers and AI specialists at Microsoft, working with a pair of colleagues from the University of Chicago, has led to the development of a new language that allows LLMs to speak with one another more efficiently. The group has posted a paper outlining the ideas behind the new language, how it works and the sorts of improvements in efficiency it can lead to, on the arXiv preprint server.

Amazon is investing an additional $4 billion in the artificial intelligence startup Anthropic as major technology companies rush to fund generative AI.

It may sound strange, but future Nobel Prizes, and other scientific achievement awards, one day might well be given out to intelligent machines. It could come down just to technicalities and legalities.

Earlier this year, a Hong Kong finance worker was tricked into paying US$25 million to scammers who had used deepfake technology to pretend to be the company's chief financial officer in a video conference call. Thinking the images on screen were his colleagues, the financier authorized the multimillion-dollar transfer to fraudsters posing as friends.

Fields ranging from robotics to medicine to political science are attempting to train AI systems to make meaningful decisions of all kinds. For example, using an AI system to intelligently control traffic in a congested city could help motorists reach their destinations faster, while improving safety or sustainability.

Publishing giants and generative artificial intelligence companies are striking deals that aim to both protect copyright and provide for the rapidly increasing needs of the AI industry.

Modern technologies like social media are making it easier than ever for enemies of the United States to emotionally manipulate U.S. citizens.

It seems simple: The robot ZRob, a small machine easily placed on a table, holds a drumstick and beats a drum. In reality, it is anything but simple. ZRob's arm has a flexible grip, just like the human wrist. It also has an artificial intelligence (AI) that helps it optimize its movements.

Say hello to the robot called Bifrost. With the help of AI technology, it uses its tactile capabilities to manipulate soft and pliable objects to order.

Adam Blandin, assistant professor of economics, typically analyzes how the amount of time worked affects a person's earnings; how family structure affects wages, employment, and equality; and the economic implications of remote work. However, recently, Blandin looked at generative AI through an economic lens.

The U.S. leads the world in developing artificial intelligence technology, surpassing China in research and other important measures of AI innovation, according to a newly released Stanford University index.

In a new study, Felipe A. Csaszar and his co-authors explore how artificial intelligence may impact the strategic decision-making process of firms. Through empirical studies involving a leading accelerator program and a startup competition, they demonstrate that current large language models can generate and evaluate strategies at a level comparable to entrepreneurs and investors participating in these competitions.

A musical robot that can play the piano alongside a human, creating a harmonic accompaniment in real time, has won an award at the Center for Human-Inspired Artificial Intelligence (CHIA) Conference 2024.

Nvidia on Wednesday reported a surge in third-quarter profit and sales as demand for its specialized computer chips that power artificial intelligence systems remains robust.

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.