The technology for autonomous vehicles has been around for a while, and major automakers and tech companies worldwide have invested billions of dollars in making it a reality. But according to industry analysts, it will be years before the automotive industry evolves to the point where most driving conditions can be handled by vehicles entirely independently without human intervention. Real-life situations, including making split-second decisions, dealing with quickly changing weather, and being able to see another motorist at a crosswalk, are best left to an attentive driver. Technology may be very useful; in some cases, when used appropriately, some of the modern automobile assist systems can even save lives. But driving is challenging; there are many types of roads, lanes, and weather conditions, so taking the same course of action is only sometimes the best.

A new study has found that Fourier analysis, a mathematical technique that has been around for 200 years, can be used to reveal important information about how deep neural networks learn to perform complex physics tasks, such as climate and turbulence modeling. This research highlights the potential of Fourier analysis as a tool for gaining insights into the inner workings of artificial intelligence and could have significant implications for the development of more effective machine learning algorithms. Fourier transformations reveal how deep neural network learns complex physics. One of the oldest tools in computational physics -- a 200-year-old mathematical technique known as Fourier analysis -- can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study. The discovery by mechanical engineering researchers at Rice University is described in an open-access study published in the journal PNAS Nexus, a sister publication of the Proceedings of the National Academy of Sciences.

If you want to use ChatGPT as an app on your Apple Watch, then Petey could be the one to download. Developed by Hidde van der Ploeg, Petey allows you to type in, swipe or simply speak into your Watch for requests, and it will respond in a similar fashion to other ChatGPT services you may have used recently, such as Bing and MacGPT. If you're unaware, ChatGPT is an artificial intelligence assistant that can be implemented into apps and services. Similar to Siri and Google Assistant but much more powerful, it can give you recipes, methods to calm down anxious dogs, and much more. Petey is available for $4.99 / £4.99 on watchOS 6 and above, you don't even need to sign up for an OpenAI account compared to the Siri Shortcut that also enables ChatGPT on your wrist - it's one download, and you're good to go. AI is moving at a supersonic pace, with ChatGPT recently updated to version 4, bringing with it faster and more sophisticated answers.

As AI becomes a transformative part of our technology landscape, a common vocabulary about the capabilities of each new tool and technique is essential. Common vocabularies create shared intellectual spaces allowing all stakeholders to accelerate understanding, increase adoption, facilitate collaboration, benchmark progress and drive innovation. So far, the most widely known tool for benchmarking AI is the Turing Test. However, the field of artificial intelligence (AI) has come a long way since the inception of the Turing Test in 1950. As such, it is becoming increasingly clear that the Turing Test is insufficient for evaluating the full range of AI capabilities that are emerging today -- or are likely to emerge in the future.

The documents also include forms that local police officers can use to submit a photo to the FBI's Facial Analysis, Comparison and Evaluation (FACE) Services Unit, which then runs it through a facial recognition search and returns possible matches. Officers can use the form to request the photos also be run through a biometric database of foreign citizens and combatants run by the Defense Department and the passport and visa photos managed by the State Department, the documents show.

Artificial intelligence (AI) and machine learning could revolutionize the search for life on other planets. But before these tools can tackle distant locales such as Mars, they need to be tested here on Earth. A team of researchers have successfully trained an AI to map biosignatures -- any feature which provides evidence of past or present life -- in a three-square-kilometre area of Chile's Atacama Desert. The AI substantially reduced the area the team needed to search and boosted the likelihood of finding living organisms in one of the driest places on the planet. The results were reported on 6 March in Nature Astronomy1.

Amid lingering concerns about surveillance and safety, the Los Angeles City Council is expected to vote Tuesday on whether to accept the donation of a dog-like robot for the LAPD. The vote will determine whether the department gets the controversial device, which would be paid for with a nearly $280,000 donation from the Los Angeles Police Foundation. The Police Commission and the council's public safety committee have approved the move. The department said it intends to deploy the device in limited scenarios and primarily for reconnaissance. Nicknamed Spot, it can climb stairs, open doors and navigate rugged terrain, giving police a set of eyes in potentially dangerous situations while keeping officers out of harm's way, officials say.

It was October 2021, and Imane, a 44-year-old mother of three, was still in pain from the abdominal surgery she had undergone a few weeks earlier. She certainly did not want to be where she was: sitting in a small cubicle in a building near the center of Rotterdam, while two investigators interrogated her. But she had to prove her innocence or risk losing the money she used to pay rent and buy food. Imane emigrated to the Netherlands from Morocco with her parents when she was a child. She started receiving benefits as an adult, due to health issues, after divorcing her husband. Since then, she has struggled to get by using welfare payments and sporadic cleaning jobs.

A robot hand made from wood could be used in extremely hot environments while still maintaining a delicate touch. Most robotic hand grippers are made from soft plastics, which can pick up objects without damaging them but melt at high temperatures, or from metals with many moving parts, which are stiff and complex to operate. Now, Swee Ching Tan at the National University of Singapore and his colleagues have developed wooden grippers made from 0.5 millimetre-thick pieces of Canadian maple, …

On 14 February, Kevin Roose, the New York Times tech columnist, had a two-hour conversation with Bing, Microsoft's ChatGPT-enhanced search engine. He emerged from the experience an apparently changed man, because the chatbot had told him, among other things, that it would like to be human, that it harboured destructive desires and was in love with him. The transcript of the conversation, together with Roose's appearance on the paper's The Daily podcast, immediately ratcheted up the moral panic already raging about the implications of large language models (LLMs) such as GPT-3.5 (which apparently underpins Bing) and other "generative AI" tools that are now loose in the world. These are variously seen as chronically untrustworthy artefacts, as examples of technology that is out of control or as precursors of so-called artificial general intelligence (AGI) – ie human-level intelligence – and therefore posing an existential threat to humanity. Accompanying this hysteria is a new gold rush, as venture capitalists and other investors strive to get in on the action.