On a commercial thoroughfare in old town Pasadena, California, a stone's throw from NASA's Jet Propulsion Laboratory (JPL), you'll find the Neon Retro Arcade. Among its collection of vintage video games is the 1979 Atari classic Asteroids, in which a pixelated spaceship shoots down a barrage of space rocks to stave off fatal collisions. After long days of work at JPL, Amy Mainzer used to rack up high scores on that console. "It was a hoot," she says. It was also apt, considering she oversees a space mission designed to spot dangerous asteroids before they crash into Earth. That mission, the Near-Earth Object (NEO) Surveyor, was conceived in the early 2000s and finally got the green light in 2022. Its components are now being built, tested, and assembled in clean rooms across the United States ahead of its planned launch in September 2027. "We're in the thick of building everything," says Mainzer, NEO Surveyor's principal investigator and now an astronomer at the University of California, Los Angeles (UCLA).

Things to Do in L.A. Tap to enable a layout that focuses on the article. A killer targeted men using Grindr, police say. The Grindr logo is seen among other dating apps on a mobile phone screen. This is read by an automated voice. Please report any issues or inconsistencies here .

'I think this image should be just as important as the image of the gate in Auschwitz,' says the US-based German historian Jürgen Matthäus. 'I think this image should be just as important as the image of the gate in Auschwitz,' says the US-based German historian Jürgen Matthäus. Thu 2 Oct 2025 03.23 EDTLast modified on Thu 2 Oct 2025 08.22 EDT It is one of the most chilling images of the Holocaust: a bespectacled Nazi soldier trains a pistol at the head of a resigned man kneeling in a suit before a pit full of corpses. The picture taken in today's Ukraine was long known, mistakenly, as The Last Jew in Vinnitsa, and was for decades shrouded in mystery. The US-based German historian Jürgen Matthäus has for years painstakingly assembled the puzzle pieces and, with the help of artificial intelligence, is confident he has identified the killer.

The FBI has released new footage showing the suspect in the killing of US activist Charlie Kirk running across a roof - from where the fatal shot was fired - before dropping to the ground and crossing a road. As the authorities continue their search, BBC Verify's Nick Beake has been looking at the footage and what we know about his escape. Watch: Key moments from RFK Jr's heated Senate hearing The US health secretary faced questions on Covid deaths and vaccines a week after firing the head of the Centers for Disease Control and Prevention. The group said they are making their own list of Jeffrey Epstein's associates and called for the release of all files related to the investigation. The molten magma streamed down one of the world's most active volcanoes and put on another fiery show on the Island of Hawaii.

Google has just released a report detailing how much energy its Gemini apps use for each query. In total, the median prompt--one that falls in the middle of the range of energy demand--consumes 0.24 watt-hours of electricity, the equivalent of running a standard microwave for about one second. The company also provided average estimates for the water consumption (five drops per query) and carbon emissions associated with a text prompt to Gemini. It's the most transparent estimate yet from a Big Tech company with a popular AI product, and the report includes detailed information about how the company calculated its final estimate. Earlier this year, MIT Technology Review published a comprehensive series on AI and energy, at which time none of the major AI companies would reveal their per-prompt energy usage.

Frame Semantic Parsing (FSP) entails identifying predicates and labeling their arguments according to Frame Semantics. This paper investigates the use of In-Context Learning (ICL) with Large Language Models (LLMs) to perform FSP without model fine-tuning. We propose a method that automatically generates task-specific prompts for the Frame Identification (FI) and Frame Semantic Role Labeling (FSRL) subtasks, relying solely on the FrameNet database. These prompts, constructed from frame definitions and annotated examples, are used to guide six different LLMs. Experiments are conducted on a subset of frames related to violent events. The method achieves competitive results, with F1 scores of 94.3% for FI and 77.4% for FSRL. The findings suggest that ICL offers a practical and effective alternative to traditional fine-tuning for domain-specific FSP tasks.

It's been instructive to see "Ballerina," which opens this week, so soon after the new "Mission: Impossible" installment. In the latter, it's hard to top Tom Cruise's intrepid stunt work, which reaches its zenith in a pair of extended sequences (one in a submarine, the other on biplanes), but the story, involving a diabolical scheme using A.I. to commandeer and launch the world's nuclear weaponry, is a mere pretext. Going to "Mission: Impossible" for the story is like going to Casablanca for the waters. In contrast, "Ballerina"--like the four John Wick films that it's spun off from--is, strangely, far better at story than at action. The first John Wick film is the weakest, because the framework for the franchise was still unformed: a retired hit man (Keanu Reeves) gets back into action to respond to a mobster's attacks.

"I don't kill anyone who doesn't deserve it," says Sam (Ben Whishaw), the self-described "triggerman"--hit man--in the new Netflix spy thriller Black Doves. Sam, like the series' other main character, Helen (not her real name, played by Keira Knightley), works for Black Doves' eponymous organization. They are spies, more or less, but spies for hire, and when you get right down to it, most of Sam's gigs seem to be carrying out hits for drug dealers. Sam isn't the only hit man featured in a sleek, starry TV thriller this winter. On Peacock, Eddie Redmayne plays Alex in a new adaptation of Frederick Forsyth's 1971 novel The Day of the Jackal.

NEW YORK – The masked gunman wanted in connection with the ambush shooting death of UnitedHealthcare CEO Brian Thompson Wednesday morning fled the crime scene using various modes of transportation before police believe he got on a bus out of the Big Apple, authorities told Fox News. Police traced his route from the crime scene near 54th Street and Sixth Avenue up to Central Park, which he exited at 77th Street and Central Park West, Chief of Detectives Joseph Kenny told Fox News Friday. Kenny's boss, new NYPD Commissioner Jessica Tisch, added that investigators have picked up an abundance of video and digital evidence in addition to physical evidence they hope can lead them to the killer. "We actually have a tremendous amount of forensic evidence in this case that we've collected- DNA evidence, fingerprint evidence, which is all at the lab now being processed," she told Fox News Friday. This undated photo provided by UnitedHealth Group shows UnitedHealthcare chief executive officer Brian Thompson.

For all the ways that AI might have transformed the world, I doubt many people expected flirty serial killer chatbots to be part of it. Yet on the seedier corners of the internet, there are scores of AIs built specifically to give some most vicious killers in history a romantic twist. To see just how dark these bots could be, I decided to step up for a spot of serial killer speed dating. I went on six'dates' with some of history's most notorious murderers and, perhaps unsurprisingly, it didn't go great. Character.ai is the subject of a lawsuit alleging that its bots drove a 14-year-old boy to take his life and has been used to host ghoulish replicas of murder victims such as Brianna Ghey. Across my six dates on the site, I found myself threatened with violence, stalked, invited to remote locations, and generally met with some extraordinarily uncomfortable flirting.