Just three months into the Trump administration's promised crackdown on immigration to the United States, Immigrations and Customs Enforcement now has a 30 million contract with Palantir to build a "near-real time" surveillance platform called ImmigrationOS that would track information about people self-deporting (electing to leave the US). Meanwhile, the Department of Homeland Security has been sending aggressive emails telling people with temporary legal status to leave the US. It is unclear who has actually been sent the messages, though, given that a number of people who are US-born citizens have reported receiving them. The US Cybersecurity and Infrastructure Security Agency briefly seemed poised this week to cancel funding for the critical software vulnerability tracking project known as the CVE Program. CISA eventually came through with the funding, but some members of the CVE Program's governing board are planning to make the project into an independent nonprofit.

"A Minecraft Movie," the big-screen adaptation of the popular video game "Minecraft," has been packing theaters with rowdy kids and teens since its release this month, spurring a social media phenomenon and sparking concern for America's youth. Videos on social media show young theatergoers huge reactions to one key scene, where one of the film's stars, Jack Black, yells out the phrase "Chicken Jockey!" as a small, Frankenstein-looking creature lands on top of a chicken in a boxing ring to face off with co-star Jason Momoa. The scene has prompted excited fans to scream, shout, throw popcorn around, jump up out of their seats, and in one instance in Provo, Utah, toss a live chicken in the air during a screening, according to the Salt Lake Tribune. Springs Cinema & Taphouse in Sandy Springs, Georgia, told FOX 5 Atlanta that its staff has had to clean up popcorn, ICEEs, ketchup and shattered glass. The scene featuring the "Chicken Jockey" in "A Minecraft Movie" has spawned some chaotic movie theater behavior from young audiences. "The movie-going experience has changed a lot since I was younger," Josh Gunderson, director of marketing and events at Oviedo Mall in Florida, told FOX Business.

Apple released its latest'budget' phone, the 599 iPhone 16e, back in February after months of feverish anticipation. But not to be outdone, rival tech giant Google has released its own handset at an'unbeatable' price – the Pixel 9a. The device – which at 499 is 100 cheaper than Apple's equivalent – has a 6.3-inch display, two rear cameras and more than 30 hours of battery life on a single charge. It's packed with'helpful' AI tools such as Gemini – Google's chatbot which was built to rival OpenAI's ChatGPT, now on Apple phones. MailOnline tests the new Google handset, described as a more accessible alternative to the firm's flagship Pixel 9 ( 799).

Listen to any pundit's post-match reaction and you will hear variations of that soundbite. But can you analyse an athlete's state of mind, based on their on-pitch body language? In an era when football is increasingly leaning on data to demonstrate physical attributes, statistics offering an accurate indication of a player's psychological qualities, such as emotional control and leadership, are harder to come by. But Premier League clubs including Brighton are using a technique intended to help in that regard with selection and recruitment. Thomas Tuchel made headlines by telling England's players to communicate more after he evaluated their interactions during the final of Euro 2024, but counting the number of times players gesture or talk to each other on the pitch tells only part of the mental battle being played out.

Humans took the lead over robots and kept it easily as they raced to victory at Beijing's Yizhuang half-marathon. Thousands of runners joined 21 humanoid robot rivals in a world-first 21km (13 miles, 352 yards) challenge in the Chinese capital on Saturday. But not every bot was up to the task. One collapsed moments after the starting gun and lay motionless for minutes before regaining its feet. Another slammed into a barrier after only a few strides, taking its handler down with it.

Robots ran alongside humans at the Yizhuang half-marathon in Beijing on Saturday. Twenty-one humanoid robots, designed by Chinese manufacturers, raced alongside thousands of runners over a 21km (13-mile) course that included slopes, turns and uneven surfaces. Some robots completed the race, while others struggled from the beginning. One robot fell at the starting line and lay flat for several minutes before getting up and taking off. While robots have made appearances at marathons in China in the past, this is the first time they have raced against humans over the course of a half-marathon.

The United States under President Donald Trump is ramping up use of surveillance systems and artificial intelligence (AI) to track and arrest immigrants, raising fears that risks to accuracy and privacy could put almost anyone in danger of getting caught up in the crackdown. The Department of Homeland Security (DHS) and other immigration control agencies are using a suite of AI tools -- such as facial recognition scanners in public areas and robotic dogs patrolling the southern border for human movement -- as part of the crackdown on alleged illegal immigration. Many of the AI tools that immigration agents are using have been in place for years and are a legacy of previous administrations, according to Saira Hussain, an attorney at the Electronic Frontier Foundation, a digital rights advocacy group.

Step by mechanical step, dozens of humanoid robots took to the streets of Beijing early Saturday, joining thousands of their flesh-and-blood counterparts in a world-first half-marathon showcasing China's drive to lead the global race in cutting-edge technology. The 21-kilometer event held in the Chinese capital's E-Town -- a state-backed hub for high-tech manufacturing -- is billed as a groundbreaking effort to test the limits of bipedal robots in real-world conditions. At the crack of the starter's gun, and as the Chinese pop song "I Believe" blared out from loudspeakers on repeat, the robots queued up one by one and took their first tentative steps.

And Henk van Ess, a global expert in using AI in investigative research, has proven how useful it can be - but it would be safe to say he does not believe it lies in starter packs. "It's like watching a supercomputer calculate how many Hobnobs fit in a Sports Direct mug, while solving climate change sits on the'to-do' list," he said. But it's the technological equivalent of using the Large Hadron Collider to heat up your Pot Noodle. "While everyone's busy generating these digital equivalents of small talk, they're missing the actually revolutionary stuff AI can do - it's just wasteful to put all that energy into creating digital fluff when we can use it for solving real-world problems."

In order to reduce the cost of experimental evaluation for models, we introduce a computational theory of evaluation for prediction and decision models: build evaluation model to accelerate the evaluation procedures. We prove upper bounds of generalized error and generalized causal effect error of given evaluation models. We also prove efficiency, and consistency to estimated causal effect from deployed subject to evaluation metric by prediction. To learn evaluation models, we propose a meta-learner to handle heterogeneous evaluation subjects space problem. Comparing with existed evaluation approaches, our (conditional) evaluation model reduced 24.1\%-99.0\% evaluation errors across 12 scenes, including individual medicine, scientific simulation, social experiment, business activity, and quantum trade. The evaluation time is reduced 3-7 order of magnitude comparing with experiments or simulations.