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By Duncan Miriri NAIROBI The world is losing the race to meet its climate change goals, the president

Super Mario Bros. Wonder will come out later this year. Should you pre-order it?

A new study into the Earth beneath our feet has discovered that an ancient ocean floor structure could be wrapped around the planet's core which could be taller that Mount Everest in some areas. A brand new high-resolution mapping of the core has uncovered things that scientists previously didn't know according to a study that was first published in April. The discovery found that a thin but dense layer sits at around 2,900 kilometers below the surface at the Core Mantle Boundary where rocks meet the molten outer core of the planet. Geologist Samantha Hansen from the University of Alabama is quoted in the study saying: "Seismic investigations, such as ours, provide the highest resolution imaging of the interior structure of our planet, and we are finding that this structure is vastly more complicated than once thought." She adds: "Our research provides important connections between shallow and deep Earth structure and the overall processes driving our planet.” Hansen and her team conducted the research from 15 different stations in Antarctica by using seismic waves created by Earthquakes to create a map of what the inside of the planet looks like. The team identified the unexpected energy within seconds of the boundary-reflected wave from the seismic data. The findings show that although the layer is very thin it does spread for many, many kilometers and has been called the ultra-low velocity zone (ULVZs) due to its strong wave speed reductions. Due to the properties of the ULVZs the experts believe that the layer could vary dramatically in height. Geophysicist Edward Garnero from Arizona State University adds: "The material's thickness varies from a few kilometers to [tens] of kilometers. This suggests we are seeing mountains on the core, in some places up to five times taller than Mt. Everest." These underground mountains could play a significant role in how heat escapes from the Earth's core and power magnetic fields and volcanic eruptions. The team's studies suggest that the layer could encase all of the core but further research will have to be carried out to determine if that is the case. Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

A fake image purporting to show an explosion near the Pentagon was shared by multiple verified Twitter accounts on Monday, causing confusion and leading to a brief dip in the stock market. Local officials later confirmed no such incident had occurred.

An Andreessen Horowitz-backed startup bent on bringing blockchain technology to the corporate world has managed to raise new

By Elizabeth Pineau PARIS (Reuters) -Apple said on Friday it would issue a software update for iPhone 12 users in

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

MONTREAL--(BUSINESS WIRE)--May 18, 2023--

Dua Lipa's bathroom selfie came days after she enjoyed an idyllic Greek vacation with Romain Gavras

After Elon Musk hinted last month that X could start charging all users, the company (formerly known as Twitter) announced a test of such a system.

Keep reading to know more about the latest TikTok trend called turbulence that has taken the social media giant by storm