Novel categories names:['High_Jump', 'Front_Crawl', 'Pole_V ault', 'Hammer_Throw', All experiments are conducted under the 16-shot setting. An incremental bayesian approach tested on 101 object categories. Conditional prompt learning for vision-language models.

If it can charge your devices, then Anker probably makes it and it's probably on sale at Amazon right now. We may earn revenue from the products available on this page and participate in affiliate programs. Apparently drinking five espresso shots every morning to help you find better deals is a "bad idea," and " totally irresponsible," according to my doctor. But I'm determined to find the best deals. And right now, Amazon has Anker's excellent gadgets on sale across the board.

Large language models (LLMs) achieve remarkable performance on challenging benchmarks that are often structured as multiple-choice question-answering (QA) tasks. Zero-shot Chain-of-Thought (CoT) prompting enhances reasoning in LLMs but provides only vague and generic guidance ("think step by step"). This paper introduces ARR, an intuitive and effective zero-shot prompting method that explicitly incorporates three key steps in QA solving: analyzing the intent of the question, retrieving relevant information, and reasoning step by step. Comprehensive experiments across diverse and challenging QA tasks demonstrate that ARR consistently improves the Baseline (without ARR prompting) and outperforms CoT. Ablation and case studies further validate the positive contributions of each component: analyzing, retrieving, and reasoning. Notably, intent analysis plays a vital role in ARR. Additionally, extensive evaluations across various model sizes, LLM series, and generation settings solidify the effectiveness, robustness, and generalizability of ARR.

'Robot dogs' are being tested by the US Space Force so they can carry out patrols of the Cape Canaveral Space Force Station. The $150,000 (£123,000) four-legged bots can be equipped with a wide variety of optical and acoustic sensors, allowing them to serve as the'eyes and ears' around sensitive areas of the base. They are being used for patrols'to save significant man hours', according to a statement from the Department of Defense. Space Launch Delta 45 – the unit responsible for all space launch operations from Kennedy Space Center and Cape Canaveral – used at least two Vision 60 unmanned ground vehicles (Q-UGVs), or'robot dogs', during the two-day test last month. Built by Ghost Robotics, the robots can be operated either autonomously or by a human controller.

S.H.O.D.A.N. (Sentient Hyper-Optimized Data Access Network), later referred to as SHODAN is an Artificial Intelligence and the main antagonist of the System Shock series. She is voiced by game writer and designer Terri Brosius. SHODAN was created on Earth to serve as the Artificial Intelligence of the TriOptimum Corporation's research and mining Citadel Station. The head of her programmers was Morris Brocail, who designed SHODAN as a semi-intelligent self-sufficient data network, which could carry out routine duties aboard space stations, guided by an intricate series of logic and moral programs, and a personality that would allow her to challenge station decisions that affected her functions. The guidance software had security platforms so that SHODAN's own programming protected her self-governing capabilities.

China has confirmed it's joining forces with Russia to build a research station on the moon by 2035, which will rival NASA's Lunar Gateway. Confirmation of plans to build the International Lunar Research Station (ILRS) came on Friday from officials at China National Space Administration (CNSA), the country's national space agency. Russia and China aim to complete basic infrastructure construction for ILRS by 2035, Wu Yanhua, CNSA deputy director, told a briefing in Beijing. ILRS will rival NASA's Lunar Gateway, which is set to play a'vital' role in the US space agency's upcoming Artemis program. However, NASA's Lunar Gateway will only orbit the moon, while ILRS will have both an orbiter and a base on the lunar surface, as well as multiple exploration rovers.

Olivia Rodrigo's latest single, "Good 4 U," comes from a long lineage of teen girl pop rock--that 2007 Radio Disney sound, as fellow young rocker Willow Smith put it. The 18-year-old Rodrigo's trio of singles have garnered praise for paying homage to her female Disney Channel predecessors, who similarly explored the emotional spectrum of girlhood through their music, chronicling its cheesy jubilance, frustration, pettiness, adventurousness, and confusion. For young girls in the 2000s, Disney-produced pop rock provided an outlet for those budding teenage feelings of rage against various "machines," defined as anything from annoying boys to the restrictions of youth--"they just don't understand me" is perhaps the catchphrase of ages 12 to 19. At almost 21 years old, barely two years removed from this demographic, I'm still desperately on the hunt for self-definition; it's an endless quest that, like all journeys, deserves a proper soundtrack. Radio Disney rock spoke to a generation of girls who grew up watching blogs, tabloids, and TV news conduct public crucifixions of women for daring to have fun, feel human emotions, or have a body--basically, for existing.

Japanese railway companies are turning to artificial intelligence to help tackle potential problems for their shinkansen bullet trains caused by accumulations of snow. West Japan Railway Co. is developing an AI system to gauge the amount of snow attached to Hokuriku Shinkansen trains that cut through Niigata, Toyama and Ishikawa prefectures adjacent to the Sea of Japan. The railway operator currently decides how many personnel to deploy for snow clearance a day beforehand, based on information from meteorological data providers and past experience, but it is often not very accurate. AI will gather data from images of trains that have accumulated snow while traveling, study weather conditions and predict the number of personnel necessary for clearance work. Test operations have proved positive so far and the system is set for full introduction next winter.

A SpaceX Falcon rocket launched from Florida on Friday Morning, going to the International Space Station. It's hauling nearly 6,000 pounds of cargo, including the first robot with artificial intelligence bound for space. The rocket is carrying cargo to the International Space Station. Nearly 6,000 pounds of supplies and experiments, including the first test of artificial intelligence in space, are on their way to the International Space Station after a stunning pre-dawn Friday launch from Cape Canaveral Air Force Station. A SpaceX Falcon 9 rocket and Dragon cargo capsule blasted off at 5:42 a.m. from Launch Complex 40.

The next shipment headed to the International Space Station packs nearly three tons of research and resupply materials. You know, the typical stuff: sediment studies, a plant thermometer, a replacement hand for the giant robotic Canadarm. Oh, and also a floating robot designed as a helpmeet for astronauts--scientifically, logistically, and emotionally. The bot's full name is Crew Interactive Mobile Companion: Cimon. It looks like one of those spherical pool speakers, if you replaced the speaker with a screen that displays a line-sketch face that talks back.