Ford wants to build cars that repossess themselves, although the technology can't be used on current models like the Ford Puma Ford has been granted a patent for a system that allows a car to repossess itself if the owner fails to keep up with payments. Ford envisions the car driving itself back to the showroom – or to a scrapyard if the value is low. But a security expert warns that the proposed system could instead be used to steal cars remotely. The patent, which was filed in 2021 but granted only this week, describes how the system would kick in if the car owner failed to respond to messages informing them they were falling behind with payments. At that point, a series of measures would be used to make the car first unpleasant to drive, and then impossible.

Carronne Sawyer took the week off work to get her husband Alonzo out of jail. She knew he was asleep on the couch with her at the time police alleged he assaulted a bus driver near Baltimore and stole their smartphone. But an intelligence analyst using face recognition software had labeled him a possible match with the suspect seen on CCTV footage from the bus, police records show, and an officer had confirmed it. At a police station and in a meeting with her husband's former parole officer, the person who had confirmed the software's suggested match, Carronne drew attention to details in photos on her phone taken recently by her daughter. Her husband is taller than the suspect in the video, she explained, and has facial hair and gaps between his teeth.

Schoolchildren are allowed to quote from content created by ChatGPT in their essays, the International Baccalaureate has said. The IB, which offers an alternative qualification to A-levels and Highers, said students could use the chatbot but must be clear when they were quoting its responses. ChatGPT has become a sensation since its public release in November, with its ability to produce plausible responses to text prompts, including requests to write essays. While the prospect of ChatGPT-based cheating has alarmed teachers and the academic profession, Matt Glanville, the IB's head of assessment principles and practice, said the chatbot should be embraced as "an extraordinary opportunity". However, Glanville told the Times, the responses must be treated as any other source in essays.

As it analyzes that sea of good and bad information from across the internet, an L.L.M. learns to do one particular thing: guess the next word in a sequence of words. It operates like a giant version of the autocomplete technology that suggests the next word as you type out an email or an instant message on your smartphone. Given the sequence "Tom Cruise is a ____," it might guess "actor." When you chat with a chatbot, the bot is not just drawing on everything it has learned from the internet. It is drawing on everything you have said to it and everything it has said back.

Josh.ai, an artificial intelligence (AI) firm headquartered in San Francisco, California, is working on a prototype integration utilizing OpenAI's ChatGPT structure. Josh.ai is well-recognized for creating a voice-controlled home automation system, as reported by Business Insider. These days, you can ask Siri or Alexa to do things like turn on the lights, give you the temp readings in your bedroom, or play a certain video or music. Otherwise, you may be asked, "Which of the 15 devices you have designated lights would you want to operate?" or "It is now 53 degrees in Kathmandu." But what if your voice assistant is not only able to provide accurate responses but also able to give smart solutions to vague questions?

Fictional humans have been falling in love with robots for decades, in novels like Do Androids Dream of Electric Sheep? (1968), The Silver Metal Lover (1981) and films like Her (2013). These stories have allowed authors to explore themes like forbidden relationships, modern alienation and the nature of love. When those stories were written, machines were not quite advanced enough to spark emotional feelings from most users. But recently, a new spate of artificial intelligence (AI) programs have been released to the public that act like humans and reciprocate gestures of affection. And some humans have fallen for these bots--hard. Message boards on Reddit and Discord have become flooded with stories of users who have found themselves deeply emotionally dependent on digital lovers, much like Theodore Twombly in Her.

Designing for the social, cultural, and ethical implications of ML are just as important as its technical advances.

Teach a robot to open a door, and it ought to unlock a lifetime of opportunities. Just over a year after graduating from Alphabet's X moonshot lab, the team that trained over a hundred wheeled, one-armed robots to squeegee cafeteria tables, separate trash and recycling, and yes, open doors, is shutting down as part of budget cuts spreading across the Google parent, a spokeswoman confirmed. "Everyday Robots will no longer be a separate project within Alphabet," says Denise Gamboa, director of marketing and communications for Everyday Robots. "Some of the technology and part of the team will be consolidated into existing robotics efforts within Google Research." The robotics venture is the latest failed bet for X, which in the past decade also spun out internet-beaming balloons (Loon) and power-generating kites (Makani) before deeming them too commercially inviable to keep afloat.

Presently, enterprises have implemented advanced artificial intelligence (AI) technologies to support business process automation (BPA), provide valuable data insights, and facilitate employee and customer engagement.7 However, developing and deploying new AI-enabled applications poses some management and technology challenges.3,5,12,15 Management challenges include identifying appropriate business use cases for AI-enabled applications, lack of expertise in applying advanced AI technologies, and insufficient funding. Concerning technology challenges, organizations continuously encounter obsolete, incumbent information technology (IT)/information systems (IS) facilities; difficulty and complexity integrating new AI projects into existing IT/IS processes; immature and underdeveloped AI infrastructure; inadequate data quantity and poor-quality learning requirements; growing security problems/threats; and inefficient data preprocessing assistance. Furthermore, major cloud service vendors (for example, Amazon, Google, and Microsoft) and third-party vendors (for instance, Salesforce and Sense-Time) have stepped up efforts as major players in the AI-as-a-service (AIaaS) race by integrating cloud services with AI core components (for example, enormous amounts of data, advanced learning algorithms, and powerful computing hardware).4 Although AIaaS offerings allow companies to leverage AI power without investing massive resources from scratch,8 numerous issues have emerged to hinder the development of desired AI systems. For example, current AI offerings are recognized as a fully bundled package, offering less interoperability between different vendors and causing vendor lock-in and proprietary concerns.

The combined power of AI and robotics is revolutionizing mobility and manufacturing. Automated vehicles, airplanes, people movers, and warehouse robots are improving in their range, flexibility, situational awareness, and intelligence, while better technology, a hunger for increased productivity and efficiency, and the pressures of covid-19 lockdowns have fueled investment in autonomous systems. In 2020 and…