Tesla Inc. is disabling a feature of its so-called Full Self-Driving system that permitted its vehicles to slowly roll through intersections without coming to a complete halt when no other cars or pedestrians were present. Tesla has released an over-the-air software fix after discussions with the U.S. National Highway Traffic Safety Administration, according to a recall notice filed online by the agency. The company is going to send letters to the owners. No accidents have been reported, Tesla told NHTSA. The recall covers more than 53,000 2016-2022 Model S and Model X, 2017-2022 Model 3, and 2020-2022 Model Y vehicles.

Cornelius, a hog-sized robot with fat rubber tank treads, has come to a stop in a small, verdant courtyard on the Spanish revival campus of California State University, Channel Islands. "It's either autonomous or broken," Kevin Knoedler says, squinting into the summer sun, his face obscured by a mask and a hat with ear flaps. Knoedler, who has been building robots for decades, knows that it can be hard to tell the difference between a machine that's kaput and one that's cogitating. "Autonomous," says Andrew Herdering, a fourth-year mechatronics engineering major. Suddenly, Cornelius sparks to life.

Scientists in China have created a robotic artificial intelligence system to monitor and care for human embryos growing in artificial wombs. The AI robot is being developed as a potential solution to population growth problems in the world's most populous country, with birth rates recently falling to their lowest level in six decades. Researchers at the Suzhou Institute of Biomedical Engineering and Technology in China's eastern Jiangsu province developed the robot to undertake the labour-intensive task of observing, documenting and manually adjusting the carbon dioxide, nutrition and other environmental inputs. It is also able to rank embryos by their development potential, according to the South China Morning Post, who first reported on the device. A research paper published in the Journal of Biomedical Engineering described how the robotic nanny has already been used to nurture animal embryos within an artificial womb environment.

A police officer is at the scene of a murder. No obvious suspects or motives. DNA from the cells of one strand is copied and compared against a database. No match comes back, and the case goes cold. Corsight AI, a facial recognition subsidiary of the Israeli AI company Cortica, purports to be devising a solution for that sort of situation by using DNA to create a model of a face that can then be run through a facial recognition system.

Did you miss a session from the Future of Work Summit? This article was contributed by Loren Goodman, cofounder and CTO at InRule Technology. Traditional machine learning (ML) does only one thing: it makes a prediction based on historical data. Machine learning starts with analyzing a table of historical data and producing what is called a model; this is known as training. After the model is created, a new row of data can be fed into the model and a prediction is returned.

When researchers at Oregon State University created new tools to evaluate the decision-making algorithms of an advanced artificial intelligence system, study participants assigned to use them did, indeed, find flaws in the AI's reasoning. But once investigators instructed participants to use the tools in a more structured and rigorous way, the number of bugs they discovered increased markedly. "That surprised us a bit, and it showed that having good tools for visualizing and interfacing with AI systems is important, but it's only part of the story," said Alan Fern, professor of computer science at Oregon State. Since 2017, Fern has led a team of eight computer scientists funded by a four-year, $7.1 million grant from the Defense Advanced Research Projects Agency to develop explainable artificial intelligence, or XAI -- algorithms through which humans can understand, build trust in, and manage the emerging generation of artificial intelligence systems. Dramatic advancements in the artificial neural networks, or ANNs, at the heart of advanced AI have created a wave of powerful applications for transportation, defense, security, medicine, and other fields.

With tax season upon us, the IRS is pushing individuals to submit to facial recognition in exchange for being able to complete a range of basic tax-related activities online. The IRS has retained a private firm--ID.me The IRS is not the only government agency working with ID.me. The company claims to serve "27 states, multiple federal agencies, and over 500 name brand retailers." This is alarming for several reasons.

Elon Musk has described Tesla's humanoid robot as the most important product it is developing in 2022, with the potential to be "more significant" than the company's car business. The as-yet unreleased Optimus robot is being built to serve as a general purpose robot, though early versions will have more limited factory-based applications. Mr Musk said during an earnings call on Wednesday that a working prototype of the Tesla bot will be unveiled at some point this year. The world's most valuable auto manufacturer is designing Optimus in a humanoid form in order for it to carry out everyday human tasks, such as shopping in a supermarket. "Essentially in the future, physical work will be a choice. If you want to do it you can, but you won't need to do it," Mr Musk said during the Tesla AI Day last August.

The most common way to listen to recorded music nowadays is via streaming platforms which provide access to tens of millions of tracks. To assist users in effectively browsing these large catalogs, the integration of Music Recommender Systems (MRSs) has become essential. Current real-world MRSs are often quite complex and optimized for recommendation accuracy. They combine several building blocks based on collaborative filtering and content-based recommendation. This complexity can hinder the ability to explain recommendations to end users, which is particularly important for recommendations perceived as unexpected or inappropriate.

The robot surgeon will see you now. For years, the world of medicine has been steadily advancing the art of robot-assisted procedures, enabling doctors to enhance their technique inside the operating theatre. Now US researchers say a robot has successfully performed keyhole surgery on pigs all on its own – without the guiding hand of a human. Furthermore, they add, the robot surgeon produced "significantly better" results than humans. The breakthrough is another step towards the day when fully automated surgery can be performed on patients. The Smart Tissue Autonomous Robot (Star) carried out laparoscopic surgery to connect two ends of an intestine in four pigs.