Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing.

Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion.

This month marks the seventh anniversary of the Florida International University pedestrian bridge collapse in 2018, when a fatal design flaw resulted in the deaths of six people.

In a world first, an Italian newspaper is printing a fully AI-generated edition for a month in what its director said Thursday was an experiment to "revitalize journalism, not to kill it."

Major tech firms are pushing the administration of President Donald Trump to loosen rules on building artificial intelligence, arguing it is the only way to maintain a US edge and compete with China.

Artificial intelligence (AI) plays a role in virtually every aspect of our lives, from self-driving cars to smart vacuum cleaners, to computer models that can predict the course of an epidemic. No matter how advanced these AI systems are, there always remains a certain degree of unpredictability about their behavior.

So-called "memristors" consume extremely little power and behave similarly to brain cells. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components that offer significant advantages over previous versions: they are more robust, function across a wider voltage range, and can operate in both analog and digital modes. These properties could help address the problem of "catastrophic forgetting," where artificial neural networks abruptly forget previously learned information.

The ability to generate high-quality images quickly is crucial for producing realistic simulated environments that can be used to train self-driving cars to avoid unpredictable hazards, making them safer on real streets.

A team of AI researchers at startup METR is proposing a new metric to quantify the capabilities of AI systems in terms of human capabilities. They have published a paper on the arXiv preprint server describing the new metric, which they call "task-completion time horizon" (TCTH).

In February 2025, Google announced it was launching "a new AI system for scientists." It said this system was a collaborative tool designed to help scientists "in creating novel hypotheses and research plans."

Even before the recent protest by a group of well-known musicians at the UK government's plans to allow AI companies to use copyright-protected work for training, disquiet around artists' rights was already growing.

Companies and corporations that are quick to adopt artificial intelligence (AI) and machine learning are more likely to boost performance and reap rewards, research from Edith Cowan University (ECU) has shown.

Security was top of mind when Dr. Marcus Botacin, assistant professor in the Department of Computer Science and Engineering, heard about large language models (LLMs) like ChatGPT. LLMs are a type of AI that can quickly craft text. Some LLMs, including ChatGPT, can also generate computer code. Botacin became concerned that attackers would use LLMs' capabilities to rapidly write massive amounts of malware.

Legged robots, which are often inspired by animals and insects, could help humans to complete various real-world tasks, for instance delivering parcels or monitoring specific environments. In recent years, computer scientists have created algorithms that allow these robots to walk at different speeds, jump, emulate some of the movements of animals and move with great agility.

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders share similarities, sometimes making a definitive diagnosis initially difficult.

Artificial intelligence designed to influence our decisions is everywhere—in Google searches, in online shopping suggestions and in movie streaming recommendations. But how does it affect decision-making in moments of crisis?

In today's attention economy, impact-driven organizations are arguably at a disadvantage. Since they have no tangible product to sell, the core of their appeal is emotional rather than practical—the "warm glow" of contributing to a cause you care about.

Tech firms are fighting the scourge of deepfakes, those deceptively realistic voices or videos used by scammers that are more available than ever thanks to artificial intelligence.

Nvidia founder Jensen Huang kicked off the company's artificial intelligence developer conference on Tuesday by telling a crowd of thousands that AI is going through "an inflection point."

An AI-powered robot that can prepare cups of coffee in a busy kitchen could usher in the next generation of intelligent machines, a study suggests.

Hundreds of Hollywood stars including Ben Stiller, Cate Blanchett and Cynthia Erivo have urged Donald Trump's White House to protect film, TV and music copyrights against big tech and artificial intelligence.

Distributed acoustic sensing (DAS) systems represent cutting-edge technology in infrastructure monitoring, capable of detecting minute vibrations along fiber optic cables spanning tens of kilometers. These systems have proven invaluable for applications ranging from earthquake detection and oil exploration to railway monitoring and submarine cable surveillance.

Technology is improving soccer—from helping referees make more accurate decisions to developing better on-field tactics. ETH Zurich and FIFA are exploring how AI can make these advancements more accessible to competitions worldwide.

There's a major difference between humans and current artificial intelligence (AI) capabilities: common sense. According to a new paper by Walid Saad, professor in the College of Engineering and the Next-G Wireless Lead at the Virginia Tech Innovation Campus, a true revolution in wireless technologies is only possible through endowing the system with the next generation of AI that can think, imagine, and plan akin to humans.

People say they prefer a short story written by a human over one composed by artificial intelligence, yet most still invest the same amount of time and money reading both stories regardless of whether it is labeled as AI-generated.

Snap a photo of your meal, and artificial intelligence instantly tells you its calorie count, fat content, and nutritional value—no more food diaries or guesswork.

In 2025, it can seem as though the future generations of AI advocates promised have finally arrived. We see the benefits of artificial intelligence on a daily basis—we use it to help us navigate traffic, to identify new drug combinations in order to treat disease, and to quickly locate scholarship online.

Artificial intelligence is turbocharging organized crime, from creating child sexual abuse images to money laundering via cryptocurrency, Europol warned Tuesday, with advances like quantum computing only poised to make things worse.

A Cornell-led research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology that can continuously—and in real time—track fingerspelling in American Sign Language (ASL).

Software is ubiquitous, powering almost every aspect of our lives. The computerized systems in your car alone incorporate tens of millions of lines of code. The increasing digital transformation of our society means that demand for more and better software is likely to continue into the future.