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The European Union is backing its commitment to spur a nascent hydrogen market in the region by unlocking

IRVING, Texas--(BUSINESS WIRE)--Jul 25, 2023--

Germany’s ruling coalition ended weeks of infighting and reached an agreement on a law that would ban new

Future space missions might use all-female crews because they are more “efficient”, a new study has suggested. Many space agencies around the world are already preparing for the first human trips to Mars and perhaps other planets. But those trips will be incredibly resource-intensive, with the food and other material required to support a crew over years being an important consideration. One way to minimise that demand on resources would be to send all-female crews, a new study conducted by the European Space Agency suggests. It found that female astronauts would be likely to need less water to stay hydrated, expend less energy, need less oxygen and carbon dioxide and produce less heat than their male counterparts. That in turn would require less space to store the equipment needed to allow those astronauts to live, and therefore make the journey theoretically easier for engineers. The exact difference between a male and female crew would depend on the stature and other details of the astronauts that were chosen. But in all situations, the all-female crew were found to use less energy. That was because they are lighter than their male counterparts, and tend to use less oxygen when they are exercising. The difference remained true even when the astronauts were modelled as if they were engaging in the kind of exercise that astronauts have done on the International Space Station, which is required to ensure they stay fit and healthy without the usual gravity on Earth. The fact that women also tend to be smaller would be another advantage the scientists note, since it would mean that engineers would be able to build them smaller space habitat modules. “There may be a number of operational advantages to all-female crews during future human space exploration missions,” the team conclude in a new paper. The work was theoretical and used already published data on female astronauts and physiological research. The research is published in a new paper, ‘Effects of body size and countermeasure exercise on estimates of life support resources during all-female crewed exploration missions’, in Scientific Reports. Read More Why is Elon Musk purging Twitter accounts? Apple finally launches two professional apps on the iPad AI robots figure out how to play football in shambolic footage

Google’s Magic Compose tool, which uses AI to help users personalize the tone of their

Elon Musk has begun training for his anticipated fight against Mark Zuckerberg, sparring with the same partner as his tech rival. Podcaster and AI researcher Lex Fridman, who holds a black belt in Brazilian jiu-jitsu, said he was “extremely impressed” with Mr Musk’s strength and technique after practising with him on Monday. The session came just days after Mr Fridman grappled with the Meta boss, who has been learning jiu-jitsu since last year. Both billionaires are expected to face off in a mixed martial arts contest after Mr Musk challenged his tech rival to a “cage match” earlier this month. The 51-year-old Tesla boss has no prior experience with martial arts and claims to not do any exercise beyond picking up his children and “throwing them in the air”. He is a long-time friend of Mr Fridman, who has been practising jiu-jitsu for more than a decade and earned his black belt five years ago. “I did an impromptu training session with Elon Musk for a few hours yesterday,” Mr Fridman wrote on Twitter. “I’m extremely impressed with his strength, power, and skill, on the feet and on the ground. It was epic.” Mr Musk replied: “That was fun!” Mr Fridman added that he hoped the two tech bosses would continue to train at martial arts but not actually fight each other. Within hours of sparring with his friend, Mr Musk had taken up an offer from UFC legend Georges St-Pierre to train him for the bout. The former two-weight UFC champion is considered one of the greatest ever mixed martial artists, having retired in 2019 after winning belts at welterweight and middleweight. It is not yet clear when the fight between Mr Musk and Mr Zuckerberg will take place, though the UFC Apex centre in Las Vegas has been proposed as a potential location. The contest has been endorsed by UFC president Dana White, who said last week that both men were “absolutely dead serious” about fighting each other. “This would be the biggest fight ever in the history of the world,” he said. “Bigger than anything that’s ever been done. It would break all pay-per-view records... You don’t have to be a fighting fan to be interested in this fight. Everybody would want to see it.” Read More Elon Musk and Mark Zuckerberg ‘dead serious’ about cage fight, says UFC boss Elon Musk picks UFC legend to train him for Mark Zuckerberg fight Twitter hacker who took over Musk, Obama, Biden accounts gets prison sentence Elon Musk confirms cage fight with Mark Zuckerberg

By Casey Hall SHANGHAI Fierce rivals Shein and PDD Holdings-owned Temu have applied to end their legal fights

The Starlight Bundle in Warzone Season 4 Reloaded can be purchased from the store for 2,400 COD points on July 12 as part of The Boys collaboration.

ERIE, Pa.--(BUSINESS WIRE)--Aug 11, 2023--

Future generations of artificial intelligence chatbots trained using data from other AIs could lead to a downward spiral of gibberish on the internet, a new study has found. Large language models (LLMs) such as ChatGPT have taken off on the internet, with many users adopting the technology to produce a whole new ecosystem of AI-generated texts and images. But using the output data from such AI systems to further train subsequent generations of AI models could result in “irreversible defects” and junk content, according to a new, yet-to-be peer-reviewed study. AI models like ChatGPT are trained using vast amounts of data pulled across internet platforms that have mostly remained human generated until now. But AI-generated data using such models have a growing presence on the internet. Researchers, including those from the University of Oxford in the UK, attempted to understand what happened when several subsequent generations of AIs are trained off each other. They found the widespread use of LLMs to publish content on the internet on a large scale “will pollute the collection of data to train them” and lead to “model collapse”. “We discover that learning from data produced by other models causes model collapse – a degenerative process whereby, over time, models forget the true underlying data distribution,” scientists wrote in the study, posted as a preprint in arXiv. The new findings suggested there to be a “first mover advantage” when it comes to training LLMs. Scientists liken this change to what happens when AI models are trained on music created by human composers and played by human musicians. The subsequent AI output then trains other models, leading to a diminishing quality of music. With subsequent generations of AI models likely to encounter poorer quality data at their source, they may start misinterpreting information by inserting false information in a process scientists call “data poisoning”. They warned that the scale at which data poisoning can happen drastically changes after the advent of LLMs. Just a few iterations of data can lead to major degradation, even when the original data is preserved, scientists said. And over time, this could lead to mistakes compounding and forcing models that learn from generated data to misunderstand reality. “This in turn causes the model to misperceive the underlying learning task,” researchers said. Scientists cautioned that steps must be taken to label AI-generated content from human-generated ones, along with efforts to preserve original human-made data for future AI training. “To make sure that learning is sustained over a long time period, one needs to make sure that access to the original data source is preserved and that additional data not generated by LLMs remain available over time,” they wrote in the study. “Otherwise, it may become increasingly difficult to train newer versions of LLMs without access to data that was crawled from the Internet prior to the mass adoption of the technology, or direct access to data generated by humans at scale.” Read More ChatGPT ‘grandma exploit’ gives users free keys for Windows 11 Protect personal data when introducing AI, privacy watchdog warns businesses How Europe is leading the world in the push to regulate AI ‘Miracle material’ solar panels to finally enter production Meta reveals new AI that is too powerful to release Reddit user’s protests against the site’s rules have taken an even more bizarre turn

At Google I/O 2023, the company snuck in a dig at Apple. "We hope every