Chicago's top prosecutor turns on woke judge who freed 72-time arrestee accused of setting devout Christian woman, 26, on fire on train What HAS happened to Beyoncé? Suddenly so desperate, I know what's really going on... and it's ugly: CAROLINE BULLOCK LIZ JONES: Sorry, but it's now time for Kate to stop making excuses Fani Willis' election interference case against Trump thrown out by Georgia prosecutor Teenager dragged from car'by migrant gang' and raped in front of her fiancé describes her night of hell and reveals they warned her'if you scream we'll kill you' Trump slams'ugly' female reporter behind NYT'hit piece' after'creepy' health rumors Joy Reid suggests JD Vance may dump'brown Hindu' wife Usha for'white queen' Erika Kirk to win 2028 election during vile chat with podcaster who laughed at Charlie's murder Here's the proof of a Democrat plot to make our troops pawns in their petty political war on Trump: LT COL DANIEL DAVIS Meghan Markle slammed for unsanitary mistake while preparing Thanksgiving turkey: 'It's basic knowledge' Karoline Leavitt's sister-in-law wrote VERY provocative Instagram post about stepson, 11, whose Brazilian mother has now been seized by ICE Marlo Thomas gives rare comment on how she's coping after loss of husband Phil Donahue a year after his death Troubled 350lb son of Hollywood icon is forced to humiliating new low... as his movie star brother luxuriates in $7m Montecito mansion Shocking reason brother of Anna Kepler'murder' suspect jumped out of moving car before Carnival cruise death horror Sir Richard Branson reveals his wife Joan died'quickly and painlessly' while in hospital for a back injury - as he says'life will never be the same' without his'shining star' The disgusting sex claims and'explicit videos' that allegedly expose World's Strongest Woman as'biological male' Human remains confirmed to be missing rodeo star, 25, who vanished in 2019 after argument with wife's family The ideal body, according to AI: Scientists ask bots what the perfect man and woman look like - so, do you agree? READ MORE: Emma Stone is most beautiful woman according to'Golden Ratio' What do the perfect man and woman look like? According to AI, the answer is young, white, and very attractive. Scientists from the University of Toronto asked three artificial intelligence bots to create images of ideal female and male bodies.

Australopithecus deyiremeda lived peacefully alongside other early hominins like Lucy. Breakthroughs, discoveries, and DIY tips sent every weekday. Sixteen years ago, paleoanthropologists stumbled upon an errant foot bone at a dig site in Ethiopia. It was clearly human-like, but which species it belonged to remained a mystery. Now, we finally know that the foot belongs to one of humanity's oldest known evolutionary relatives .

Nvidia has claimed it is a generation ahead of rivals in the artificial intelligence (AI) industry amid growing suggestions a rival may emerge to threaten to its market dominance - and multi-trillion dollar valuation. Shares in the chip giant fell on Tuesday, following a report Meta planned to spend billions on AI chips developed by Google to power its data centres. In a statement on X, Nvidia, the world's most valuable company, said it was the only platform which runs every AI model and does it everywhere computing is done. In response, Google said it was committed to supporting both its own and Nvidia's chips. Nvidia's chips have become a critical part of powering the data centres behind many of the most popular AI tools, such as ChatGPT.

Chicago's top prosecutor turns on woke judge who freed 72-time arrestee accused of setting devout Christian woman, 26, on fire on train What HAS happened to Beyoncé? Suddenly so desperate, I know what's really going on... and it's ugly: CAROLINE BULLOCK LIZ JONES: Sorry, but it's now time for Kate to stop making excuses Fani Willis' election interference case against Trump thrown out by Georgia prosecutor Teenager dragged from car'by migrant gang' and raped in front of her fiancé describes her night of hell and reveals they warned her'if you scream we'll kill you' Trump slams'ugly' female reporter behind NYT'hit piece' after'creepy' health rumors Joy Reid suggests JD Vance may dump'brown Hindu' wife Usha for'white queen' Erika Kirk to win 2028 election during vile chat with podcaster who laughed at Charlie's murder Here's the proof of a Democrat plot to make our troops pawns in their petty political war on Trump: LT COL DANIEL DAVIS Meghan Markle slammed for unsanitary mistake while preparing Thanksgiving turkey: 'It's basic knowledge' Karoline Leavitt's sister-in-law wrote VERY provocative Instagram post about stepson, 11, whose Brazilian mother has now been seized by ICE Marlo Thomas gives rare comment on how she's coping after loss of husband Phil Donahue a year after his death Troubled 350lb son of Hollywood icon is forced to humiliating new low... as his movie star brother luxuriates in $7m Montecito mansion Shocking reason brother of Anna Kepler'murder' suspect jumped out of moving car before Carnival cruise death horror Sir Richard Branson reveals his wife Joan died'quickly and painlessly' while in hospital for a back injury - as he says'life will never be the same' without his'shining star' The disgusting sex claims and'explicit videos' that allegedly expose World's Strongest Woman as'biological male' Human remains confirmed to be missing rodeo star, 25, who vanished in 2019 after argument with wife's family Calorie labels are a SHAM! Calorie labels on menus are pointless unless you're actively trying to lose weight, a study has found. Researchers have discovered that being told your beef pie is 1,362 calories or your cheeseburger is 2,133 calories makes no difference to what you order unless you're watching what you eat. It casts further doubt on the effectiveness of the government's policy, introduced in 2022, that ordered the use of calorie labels by all food outlets with more than 250 employees.

Karoline Leavitt's family member'abruptly arrested' by ICE after living in US for decades Sir Richard Branson reveals his wife Joan died'quickly and painlessly' while in hospital for a back injury - as he says'life will never be the same' without his'shining star' Residents in liberal Western US city feel'isolated' as state turns extremely red What HAS happened to Beyoncé? Suddenly desperate, I know what's really going on... and it's ugly: CAROLINE BULLOCK LIZ JONES: Sorry, but it's now time for Kate to stop making excuses Teenager dragged from car'by migrant gang' and raped in front of her fiancé describes her night of hell and reveals they warned her'if you scream we'll kill you' Virginia Giuffre's family is at war over who gets Andrew's multi-million payout after she died without leaving a will Prince Philip nicknamed Meghan Markle'DOW' and warned Royal Family about her'eerie similarities' with Wallis Simpson, royal author reveals Sports broadcaster's wife suffers unimaginable tragedy just before he goes on air New'Hollywood of the South' emerges as booming industry generates $1bn... but long-time residents are furious University of Minnesota program offers guidelines to'reverse the whiteness pandemic' Putin'sends top general to Venezuela along with troops tasked with training up President Maduro's forces' as US considers attacking South American country Forget Yellowstone or Etna! 'Hidden' volcanoes pose the greatest risk to the world, scientists warn - after little-known mount erupts in Ethiopia READ MORE: Scientists discover a new hole in one of Yellowstone's basins A little-known Ethiopian volcano has erupted for the first time in at least 12,000 years - sparking fears that'hidden' volcanoes are being missed. Professor Mike Cassidy, a volcanologist at the University of Birmingham, says the world's overlooked volcanoes'pose the greatest threat'. Known as'hidden' volcanoes, they're less famous than Yellowstone or Etna even among scientists - which means they're not being monitored as much. Examples include El Chichón in Mexico, Mount Pinatubo in the Philippines, Mount Merapi in Indonesia and La Soufrière on the Caribbean island of Saint Vincent.

Karoline Leavitt's family member'abruptly arrested' by ICE after living in US for decades Sir Richard Branson reveals his wife Joan died'quickly and painlessly' while in hospital for a back injury - as he says'life will never be the same' without his'shining star' Residents in liberal Western US city feel'isolated' as state turns extremely red What HAS happened to Beyoncé? Suddenly desperate, I know what's really going on... and it's ugly: CAROLINE BULLOCK LIZ JONES: Sorry, but it's now time for Kate to stop making excuses Teenager dragged from car'by migrant gang' and raped in front of her fiancé describes her night of hell and reveals they warned her'if you scream we'll kill you' Virginia Giuffre's family is at war over who gets Andrew's multi-million payout after she died without leaving a will Prince Philip nicknamed Meghan Markle'DOW' and warned Royal Family about her'eerie similarities' with Wallis Simpson, royal author reveals Sports broadcaster's wife suffers unimaginable tragedy just before he goes on air New'Hollywood of the South' emerges as booming industry generates $1bn... but long-time residents are furious University of Minnesota program offers guidelines to'reverse the whiteness pandemic' Putin'sends top general to Venezuela along with troops tasked with training up President Maduro's forces' as US considers attacking South American country READ MORE: Scientists issue warning over mind-altering'brain weapons' A physicist has proposed a radical new theory of consciousness - and it could finally explain what happens when you die. Consciousness does not emerge from human brains, according to Professor Maria Strømme, a professor of nanotechnology at Uppsala University. Instead, she claims that it exists as a fundamental field. If this is correct, 'mysterious' phenomena such as telepathy, near-death experiences, and even life after death could finally be explained by science.

Warner Music Group (WMG) will begin an artificial intelligence (AI) music venture with technology start-up Suno - a year after it sued the firm in a landmark case. As part of the settlement agreement struck between the two firms, Warner will let users create AI-generated music on Suno using the voices, names and likeness of artists who opt-in to the programme. The record label, which represents artists like Dua Lipa, Coldplay and Ed Sheeran, was among several music giants like Sony Music that sued Suno and a similar platform called Udio. AI-generated content has been controversial, with many artists voicing concerns that it could undermine human songwriters. Starting next year, Suno will roll out new advanced and licensed models to its generative-AI music platform, which allows users to create music based on simple descriptions, said Warner in a statement .

What is in the 28-point US plan for Ukraine? Why is Europe opposing Trump's peace plan? Is the fall of Pokrovsk inevitable? 'A corruption scandal may well end the Ukraine war' At least 18 Ukrainians have been wounded in Russian drone attacks on the Zaporizhzhia area as tens of thousands of invading troops continue their advance on the southeastern region. Ukraine says it supports the "essence" of a United States plan to end its war with Russia, as US President Donald Trump says "progress" is being made and dispatches special envoy Steve Witkoff to Russia for talks with President Vladimir Putin.

Karoline Leavitt's family member'abruptly arrested' by ICE after living in US for decades Residents in liberal Western US city feel'isolated' as state turns extremely red What HAS happened to Beyoncé? Suddenly desperate, I know what's really going on... and it's ugly: CAROLINE BULLOCK LIZ JONES: Sorry, but it's now time for Kate to stop making excuses'I fell for Joan the moment I saw her': The emotional love letter Sir Richard Branson penned to his'rock' on their anniversary - as he announces her death after 50 years together Ina Garten, 77, vulnerably addresses her decision not to have children: 'I can't imagine my life any other way' Sports broadcaster's wife suffers unimaginable tragedy just before he goes on air New'Hollywood of the South' emerges as booming industry generates $1bn... but long-time residents are furious University of Minnesota program offers guidelines to'reverse the whiteness pandemic' Emmy-winning CBS anchor reveals her devastating health battle: 'I've been silently struggling' Bethany MaGee's family issue heartbreaking statement about her injuries after devout Christian, 26, was set ablaze'by 72-time arrestee' on Chicago train MORE: California squirrels evolving in'shocking' way as scientists investigate key behavioral shift Common rats have learned a shocking and deadly new tactic to kill other animals, which could one day lead to a deadly new pandemic among humans. Scientists witnessed as local brown rats ambushed a colony of bats as they entered two caves in Germany, leaping into the air to catch and kill the nocturnal creatures in droves. Moreover, these rats did this in the middle of the night and without being able to see their surroundings. Researchers from the Leibniz Institute for Evolution and Biodiversity Science said it's the first time common rats have ever been seen in Europe acting with such predatory instincts .

We introduce and analyse active learning markets as a way to purchase labels, in situations where analysts aim to acquire additional data to improve model fitting, or to better train models for predictive analytics applications. This comes in contrast to the many proposals that already exist to purchase features and examples. By originally formalising the market clearing as an optimisation problem, we integrate budget constraints and improvement thresholds into the label acquisition process. We focus on a single-buyer-multiple-seller setup and propose the use of two active learning strategies (variance based and query-by-committee based), paired with distinct pricing mechanisms. They are compared to a benchmark random sampling approach. The proposed strategies are validated on real-world datasets from two critical application domains: real estate pricing and energy forecasting. Results demonstrate the robustness of our approach, consistently achieving superior performance with fewer labels acquired compared to conventional methods. Our proposal comprises an easy-to-implement practical solution for optimising data acquisition in resource-constrained environments.