According to AI, the future is bright. The prompts focused on how overcrowding, climate change and technological development are likely to change the cities of the future. The amazing results show many of the concrete jungles adorned with lush vegetation sprouting from sci-fi-looking hi-rises that winged vehicles soar around in bright blue skies. By 2050, almost three-quarters of the world population (68 percent) will live in cities, according to a UN prediction. While it might sound bleak, technology could turn congested regions into lush utopias.

AI bot ChatGPT has named its ultimate Premier League line-up – but many fans may be surprised by some controversial omissions. MailOnline asked the tool, 'Can you give me your ultimate Premier League football team?' and it gave 11 Premier League winners in a 4-3-3 formation. But some big names are missing from the lineup, including Frank Lampard, Wayne Rooney and Gareth Bale. It even omitted Ryan Giggs – who has more Premier League winners' medals than any other player. Also missing are modern greats including Harry Kane, Mohamed Salah, Kevin De Bruyne and Erling Haaland, who now holds the record for most goals in a single Premier League season.

Can John Deere become one of the leading AI and robotics companies in the world alongside Tesla and Silicon Valley technology giants over the next decade? That notion may seem incongruous with the general perception of the 185-year-old company as a heavy-metal manufacturer of tractors, bulldozers and lawnmowers painted in the signature green and yellow colors. But that is what the company sees in its future, according to Jorge Heraud, vice president of automation and autonomy for Moline, Illinois-based Deere, a glimpse of which was showcased at last January's Consumer Electronics Show in Las Vegas, where Deere unveiled its fully autonomous 8R farm tractor, driven by artificial intelligence rather than a farmer behind the wheel. The autonomous 8R is the culmination of Deere's nearly two decades of strategic planning and investment in automation, data analytics, GPS guidance, internet-of-things connectivity and software engineering. While a good deal of that R&D has been homegrown, the company also has been on a spree of acquisitions and partnerships with agtech startups, harvesting know-how as well as talent.

Pattern discovery in multidimensional data sets has been a subject of research since decades. There exists a wide spectrum of clustering algorithms that can be used for that purpose. However, their practical applications share in common the post-clustering phase, which concerns expert-based interpretation and analysis of the obtained results. We argue that this can be a bottleneck of the process, especially in the cases where domain knowledge exists prior to clustering. Such a situation requires not only a proper analysis of automatically discovered clusters, but also a conformance checking with existing knowledge. In this work, we present Knowledge Augmented Clustering (KnAC), which main goal is to confront expert-based labelling with automated clustering for the sake of updating and refining the former. Our solution does not depend on any ready clustering algorithm, nor introduce one. Instead KnAC can serve as an augmentation of an arbitrary clustering algorithm, making the approach robust and model-agnostic. We demonstrate the feasibility of our method on artificially, reproducible examples and on a real life use case scenario.

In May 2015, The Simpsons voice actor Harry Shearer--who plays a number of key characters including, quite incredibly, both Mr Burns and Waylon Smithers--announced that he was leaving the show. This story originally appeared on WIRED UK. By then, the animated series had been running for more than 25 years, and the pay of its vocal cast had risen from $30,000 an episode in 1998 to $400,000 an episode from 2008 onwards. But Fox, the producer of The Simpsons, was looking to cut costs-- and was threatening to cancel the series unless the voice actors took a 30 percent pay cut. Most of them agreed, but Shearer (who had been critical of the show's declining quality) refused to sign--after more than two decades, he wanted to break out of the golden handcuffs, and win back the freedom and the time to pursue his own work.

In May 2015, The Simpsons voice actor Harry Shearer – who plays a number of key characters including, quite incredibly, both Mr Burns and Waylon Smithers – announced that he was leaving the show. By then, the animated series had been running for more than 25 years, and the pay of its vocal cast had risen from $30,000 an episode in 1998 to $400,000 an episode from 2008 onwards. But Fox, the producer of The Simpsons, was looking to cut costs – and was threatening to cancel the series unless the voice actors took a 30 per cent pay cut. Most of them agreed, but Shearer (who had been critical of the show's declining quality) refused to sign – after more than two decades, he wanted to break out of the golden handcuffs, and win back the freedom and the time to pursue his own work. Showrunner Al Jean said Shearer's iconic characters – who also include Principal Skinner, Ned Flanders and Otto Mann – would be recast.

A new research project in Australia is using motion detectors and muscle sensors to track sheep shearers in an effort to minimize on the-job-injuries. Sheep shearers are six times more likely to be injured in the workplace than the average Australian worker. Data from sensors attached to sheep shearers will be used to model worker movement throughout the workday and test new ways of doing the job without risking injury. The study, a joint project between University of Melbourne and the trade group Australian Wool Innovation, uses sensors to measure electrical activity in muscles. These sensors are placed directly on the skin of the lower back and upper thighs, the ABC reported, while motion detectors are placed around the joints to track a worker's posture and shearing motions.

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced back in August that it had gained FDA clearance for a new solution that helps radiologists triage patients using artificial intelligence (AI). Now, to meet an increase in customer demand as a result of that announcement, the company has hired Tom Shearer to manage sales in North America and Jeremy De Sy to handle sales throughout Europe. "AI isn't the future for medical imaging; it's the present," Shearer said in a prepared statement. "Aidoc is led by extraordinary individuals who have developed a revolutionary product. This solution is always running in the background, on every exam, filling a critical need in medical imaging by helping radiologists manage their increasing workload while maintaining high standards."

For many, considering the effects artificial intelligence (AI) may soon have on society is a source of both anxiety and wonder. Agriculture, as much as any industry, is in line for big changes. Farm equipment may soon have a mind of its own. The term AI, as it relates to agriculture, is often lumped in with other emergent technologies like autonomous equipment and field sensors. But, AI-based equipment is distinct in that rather than being programed to perform a function, it's being designed to interpret data pulled from the field, act on it and teach itself best practices in the process.