A stunning Miss England semi–finalist has been revealed, but there's a huge catch – she is AI–generated. The Miss England pageant has launched a brand new AI round, featuring computer–generated beauty queens. Glamorous contestants can now walk down a virtual catwalk by making digital twin avatars of themselves as part of the Black Mirror–style qualifying round. Organisers believe they are the first beauty pageant in the world to introduce a digital AI round which will help'reflect the world' the young women are stepping into. The contest has already axed its bikini swimwear round in a bid to move away from outdated pageant stereotypes and replaced it was a CPR round teaching life–saving skills.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Two likely finalists spotted at mayor's mansion From left: Former LAPD Deputy Chief Robert Arcos, LAPD Deputy Chief Emada Tingirides and former Los Angeles County Sheriff Jim McDonnell. Published Sept. 18, 2024 Updated Sept. 19, 2024 10:46 AM PT Mayor Karen Bass said she would conduct a nationwide search for the next chief of the Los Angeles Police Department, but in the end it seems she found three finalists close to home. Deputy Chief Emada Tingirides and Robert "Bobby" Arcos, a former LAPD assistant chief who works in the L.A. County district attorney's office, were seen arriving at Getty House, the mayor's residence, for their candidate interviews over the span of a few hours Tuesday. The third candidate is said to be former Los Angeles County Sheriff Jim McDonnell, who also served in the LAPD, leaving as first assistant chief.

The beauty pageant industry isn't what it used to be. Miss Universe, which has been around since 1952, has suffered a dramatic ratings decline in the last five years. In May, the reigning Miss USA and Miss Teen USA gave back their crowns, sparking fresh controversy in the community. Yet, a new kind of beauty pageant has emerged. This pageant is similar in many ways to the traditional experience, except for one important detail: the women are not real. The World AI Creators Awards (WAICAS) has gathered 10 finalists in their quest to find "Miss AI," the winner of a beauty pageant for women generated by artificial intelligence (AI).

The world's first beauty pageant for AI women has finally revealed its shortlist of computer-generated ladies. Out of the 1,500 entrants into the Fanvue World AI Creator Awards, the 10 artificial finalist will battle it out to become the first ever Miss AI. And, with contestants ranging from the red-headed travel influencer Olivia C to Turkish model and astronaut Asena Ilik, competition is sure to be fierce. But, just like any other pageant, it will take more than good looks to win the prize and finalists will also be judged on their technology and social media clout. Fanvue co-founder Will Monange says: 'The awards have shown how engaged creators in the AI space are, and the standard of the shortlist is nothing short of incredible.'

When poet John Keats wrote in "Ode on a Grecian Urn" that "beauty is truth, truth beauty," he probably didn't have AI influencers in mind. Back in April, Fanvue, an AI-infused creator platform that falls somewhere between OnlyFans and Cameo in terms of services, launched what it's calling the "world's first beauty pageant for AI creators." On Monday, the World AI Creator Awards announced the contest's 10 semifinalists. Drawn from a pool of more than 1,500 applicants, they are vying for the chance to make a liar out of Keats--and a prize package valued at about 20,000. Amongst those 10 finalists, you'll find Seren Ay, a stunning Turkish redhead who is sometimes pictured doing jobs traditionally held by men in her country, like electrical lineman or firefighter.

The inductees debuted across decades, advancing technologies along the way and expanding not only the number of players, but the ages and interests of those at the controls, Hall of Fame authorities said in revealing the winners. The Hall of Fame recognizes electronic games of all types -- arcade, console, computer, handheld, and mobile. The Class of 2024 was selected by experts from among a field of 12 finalists that also included Elite, Guitar Hero, Metroid, Neopets, Tokimeki Memorial, Tony Hawk's Pro Skater and You Don't Know Jack. The honor for Atari's Asteroids comes 45 years after its 1979 debut in arcades, where it was Atari's bestselling coin-operated game. The game's glowing space-themed graphics and sound effects made their way from more than 70,000 arcade units into millions of living rooms when a home version of Asteroids was made available on the Atari 2600.

AI expert Marva Bailer tells Fox News Digital how the open availability of artificial intelligence can have negative impacts and talks potential federal legislation to control it. Books about the dizzying impact of the internet and artificial intelligence are among finalists for a new book prize that aims to help fix the gender imbalance in nonfiction publishing. The shortlisted six books for the inaugural Women's Prize for Nonfiction, announced on Wednesday, include Canadian author-activist Naomi Klein's "Doppleganger," a plunge into online misinformation, and British journalist Madhumita Murgia's "Code-Dependent: Living in the Shadow of AI." The 38,000 award is a sister to the 29-year-old Women's Prize for Fiction and is open to female English-language writers from any country in any nonfiction genre. The finalists also include autobiographical works -- poet Safiya Sinclair's "How to Say Babylon: A Jamaican Memoir" and British art critic Laura Cumming's "Thunderclap: A Memoir of Art and Life and Sudden Death."

The future of cancer research is in good hands. Six high-school students in the U.S. are dedicated to making progress toward improving the diagnostics and treatment of the disease. The students were finalists in this year's Regeneron Science Talent Search, which is the country's oldest and most prestigious science and mathematics competition hosted by the Society for Science in Washington, D.C. "We are thrilled to honor these bright minds dedicated to making strides in cancer research," said Maya Ajmera, president and CEO of the Society for Science, a partner with Regeneron in the Science Talent Search. "These high-school students are not only advancing our understanding of the way cancer presents in the human body, but are paving the way for potential future therapies and helping unlock new possibilities in the fight against this formidable disease." Four of the six student finalists who specialized in cancer research are shown here.

This paper presents the real-world smart-meter dataset and offers an analysis of solutions derived from the Energy Prediction Technical Challenges, focusing primarily on two key competitions: the IEEE Computational Intelligence Society (IEEE-CIS) Technical Challenge on Energy Prediction from Smart Meter data in 2020 (named EP) and its follow-up challenge at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) in 2021 (named as XEP). These competitions focus on accurate energy consumption forecasting and the importance of interpretability in understanding the underlying factors. The challenge aims to predict monthly and yearly estimated consumption for households, addressing the accurate billing problem with limited historical smart meter data. The dataset comprises 3,248 smart meters, with varying data availability ranging from a minimum of one month to a year. This paper delves into the challenges, solutions and analysing issues related to the provided real-world smart meter data, developing accurate predictions at the household level, and introducing evaluation criteria for assessing interpretability. Additionally, this paper discusses aspects beyond the competitions: opportunities for energy disaggregation and pattern detection applications at the household level, significance of communicating energy-driven factors for optimised billing, and emphasising the importance of responsible AI and data privacy considerations. These aspects provide insights into the broader implications and potential advancements in energy consumption prediction. Overall, these competitions provide a dataset for residential energy research and serve as a catalyst for exploring accurate forecasting, enhancing interpretability, and driving progress towards the discussion of various aspects such as energy disaggregation, demand response programs or behavioural interventions.

Duckiebots are low-cost mobile robots that are widely used in the fields of research and education. Although there are existing self-driving algorithms for the Duckietown platform, they are either too complex or perform too poorly to navigate a multi-lane track. Moreover, it is essential to give memory and computational resources to a Duckiebot so it can perform additional tasks such as out-of-distribution input detection. In order to satisfy these constraints, we built a low-cost autonomous driving algorithm capable of driving on a two-lane track. The algorithm uses traditional computer vision techniques to identify the central lane on the track and obtain the relevant steering angle. The steering is then controlled by a PID controller that smoothens the movement of the Duckiebot. The performance of the algorithm was compared to that of the NeurIPS 2018 AI Driving Olympics (AIDO) finalists, and it outperformed all but one finalists. The two main contributions of our algorithm are its low computational requirements and very quick set-up, with ongoing efforts to make it more reliable.