"In practice, we don't usually get any further than a sort of reference face, such as 'a European male.' That's not much use to a forensic investigator."

Though it’s just a research project for the moment

The company’s AI researchers have developed a speech synthesizer capable of copying anybody’s voice with uncanny accuracy.

In the latest example of deepfake technology, researchers have shown off new software that uses machine learning to let users edit the text transcript of a video to add, delete, or change the words coming right out of somebody’s mouth.

The advances of modern AI research could bring unprecedented benefits to game development

Deep-learning techniques have made it easier and easier for anyone to forge convincing misinformation.

The film world is full of intriguing what-ifs. Will Smith famously turned down the role of Neo in The Matrix. Nicolas Cage was cast as the lead in Tim Burton’s Superman Lives, but he only had time to try on the costume before the film was canned. Actors and directors are forever glancing off projects that never get made or that get made by someone else, and fans are left wondering what might have been.

Watch for yourself

Chess and Go were child’s play. Now A.I. is winning at capture the flag. Will such skills translate to the real world?

How safe is safe enough, and how do we measure it?

Artificial intelligence may help doctors make more accurate readings of CT scans used to screen for lung cancer.

Technology reshapes the workplace in much subtler ways than simply robots stealing jobs.

As carbon levels in the atmosphere continue to rise to record figures, many companies have emphasized reducing their carbon footprint to become more environmental friendly. To keep an eye on these promises and our planet's air quality, WattTime has come up with plans to create a public database using artificial intelligence to track carbon emissions from all the world's large power plants.

One of Leonardo Di Vinci’s most famous pieces of artwork, the Mona Lisa, has been brought to life with the help of deepfake AI. For those of you who don’t know deepfake is a technology that has been in development for some time now and is getting to some scarily good levels. Deepfake AI examines and uses a series of images to render video footage of the person in the images. These fabricated videos have the subjects turning their heads and even speaking.

Someone posting on Chinese social network Weibo claims to have used facial recognition to cross-reference women’s photos on social media with faces pulled from videos on adult platforms like Pornhub. In a Monday post on Weibo, the user, who says he's based in Germany, claimed to have “successfully identified more than 100,000 young ladies” in the adult industry “on a global scale.”

So, you’ve hunkered down and finally completed that online course on machine learning. It took weeks. Now, you have all sorts of ideas running through your mind on developing your own intelligent code and neural networks.

When I heard five or so years back that people in Silicon Valley were getting worried about artificial intelligence causing human extinction, my initial reaction was extreme skepticism. A large reason for that was that the scenario just felt silly. What did these folks think would happen — was some company going to build Skynet and manufacture Terminator robots to slaughter anyone who stood in their way? It felt like a sci-fi fantasy, not a real problem.

Google is delving back into robotics after previous attempts — which were led by an executive accused of sexual misconduct — fell by the wayside, The New York Times reported on Tuesday. Google's new effort — known as Robotics at Google — is led by Vincent Vanhoucke, who served as a key player in the company's artificial intelligence project, Google Brain, the Times reported. No figures regarding the size of the robotics team were given in the report.

The McDonald's AI will optimize menus based on factors such as weather, the time of day, local events and how busy the restaurant is.

Yoshua Bengio, Geoffrey Hinton, and Yann LeCun laid the foundations for modern AI

Hardware design, rather than algorithms, will help us achieve the next big breakthrough in AI. That’s according to Bill Dally, Nvidia’s chief scientist, who took the stage Tuesday at EmTech Digital, MIT Technology Review’s AI conference. “Our current revolution in deep learning has been enabled by hardware,” he said.

A case study on storytelling for AI technology

In an interview with the Daily Star, he explained that he has been working on a revolutionary AI to “personalise education” to enable “anyone can learn almost anything, using AI”. And he believes that within the next two decades, our heads will be boosted with special implants, so “you won’t need to memorise anything”. He told the Daily Star that people won't have to bother typing any questions, as any queries will be answered immediately from "an AI implant", which will result in the end of "parrot fashion" learning at schools.

When Stanford announced a new artificial intelligence institute, the university said the “designers of AI must be broadly representative of humanity” and unveiled 120 faculty and tech leaders partnering on the initiative.

When talk turns to new technologies, trash cans may not be the first things that come to mind, but a new smart bin is actively embracing machine learning to target food waste. The device is fitted with a camera, which captures an image each time the bin is used. With some initial help from kitchen staff, the trash can’s algorithm learns to identify different food types contained in each dump of waste, then weighs the volume of each type.

Empowerment or exploitation?

“Prison labor” is usually associated with physical work, but inmates at two prisons in Finland are doing a new type of labor: classifying data to train artificial intelligence algorithms for a startup. Though the startup in question, Vainu, sees the partnership as a kind of prison reform that teaches valuable skills, other experts say the claim of job training is more evidence of hype around the promises of AI.

Scientists at ETH Zurich have developed a new method that greatly simplifies the production of large DNA molecules containing many hundreds of genes. With this method, they have built the first genome of a bacterium entirely designed by a computer algorithm. The method has the potential to revolutionize biotechnology.

IBM AI can predict with 95 percent accuracy when an employee is about to leave their job. That should not scare workers, but human resource managers in today's tight labor market that do not understand how to keep employees on a clear career path.

The biggest tech companies want you to know that they're taking special care to ensure that their use of artificial intelligence to sift through mountains of data, analyze faces or build virtual assistants doesn't spill over to the dark side. But their efforts to assuage concerns that their machines may be used for nefarious ends have not been universally embraced. Some skeptics see it as mere window dressing by corporations more interested in profit than what's in society's best interests.

In 2014, IBM opened swanky new headquarters for its artificial intelligence division, known as IBM Watson. Inside the glassy tower in lower Manhattan, IBMers can bring prospective clients and visiting journalists into the “immersion room,” which resembles a miniature planetarium. There, in the darkened space, visitors sit on swiveling stools while fancy graphics flash around the curved screens covering the walls. It’s the closest you can get, IBMers sometimes say, to being inside Watson’s electronic brain.

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial intelligence (AI) applications. "Deep learning networks are at the heart of AI applications used in everything from self-driving cars to computer vision technologies," says Xipeng Shen, a professor of computer science at NC State and co-author of a paper on the work.

US senators introduced a bill on Wednesday that will allow the Federal Trade Commission to inspect if corporations are using algorithms that are biased, discriminatory, and insecure. The bill, known as the Algorithmic Accountability Act of 2019, was backed by Senator Ron Wyden (D-OR), Senator Cory Booker (D-NJ), and Representative Yvette Clarke (D-NY).

Religious violence is as old as religion itself, but the dynamics that lead to clashes between religious groups are remarkably complex. To get a better grasp on this problem, an international team of researchers turned to simulations that use “psychologically realistic” artificial intelligences to model conflicts between religious groups.

OpenAI, a San Francisco-based nonprofit AI research organization backed by tech luminaries Reid Hoffman and Peter Thiel, has investigated autonomous systems that can achieve superhuman performance in Pong and Montezuma’s Revenge — not to mention natural language systems capable of impressive coherency. But it’s also spent the better part of four years developing AI capable of human-level play in Valve’s Dota 2 battle arena game, and it today set the fruit of its labor loose on a team of professional players.