The watershed moment Trump changed course on Israel after Netanyahu shattered their once-unbreakable bond: 'We felt betrayed' Kim Kardashian stuns onlookers in horrifying MASKED look at one of Hollywood's biggest galas DAPHNE BARAK: How I delivered the final, fatal blow to Andrew's fast-sinking reputation... and why Palace is right to still be deeply concerned Doctors expose the truth about melatonin... as terrifying side effects soar Gavin Newsom melts down as Pentagon plans to fire artillery shells over California highway during'No Kings' protest Olivia Nuzzi's memoir will reveal juicy text messages with RFK Jr. KENNEDY: Here's the truth of weird drug-fueled orgies in Congress that Tucker Carlson is investigating... it makes me sick to my stomach JANA HOCKING: I've uncovered the ultimate new sex secret and had the best night of my life... no wonder more women are trying it Limp Bizkit bassist Sam Rivers dead at 48 as iconic band pays tribute to'once-in-a-lifetime' talent Insiders reveal dark web of power behind earthquake of'No Kings' protests exploding across America Five safe haven investments if the global economy goes into meltdown (and one under the radar fund to buy RIGHT NOW): As more and more experts warn of a devastating fall in share prices... Inside the King's cold phone call that saw Prince Andrew lose his dukedom and have to cancel Sarah Ferguson's 66th birthday party as Epstein scandal exploded '90s icon looks unrecognizable as she teases her most infamous TV scene in bucket hat during rare outing Antonio Banderas and Melanie Griffith's daughter Stella, 29, weds her childhood sweetheart in dreamy Spanish wedding as actor toasts the newlyweds Stephen A. Smith makes racially-charged double standard accusation against LeBron James amid feud The Duchess of Scandal... who is now plain old Sarah: Fergie's humiliating downfall as King makes moves to'protect' her daughters Green Bay Packers' game in jeopardy with team stranded at airport less than 24 hours before kickoff Selena Gomez makes FIRST red carpet appearance with husband Benny Blanco since wedding as their'perfect' honeymoon is revealed READ MORE: Is there a God? It's a question that has been asked since the beginning of time: does God really exist? Traditionally, science has been the counterargument for the existence of a divine creator. However, French mathematicians Olivier Bonnassies and Michel-Yves Bollore now say that science'has become God's ally'. In a new book, the duo have distilled insights from 62 Nobel Prize winners and more than 100 leading scientists to pinpoint the scientific discoveries that could prove God is real.

On its 20th anniversary, YouTube is venturing into an era of AI-generated video, and may never be the same. Google figured out early on that video would be a great addition to its search business, so in 2005 it launched Google Video. Focused on making deals with the entertainment industry for second-rate content, and overly cautious on what users could upload, it flopped . In 2006, Google snapped up that year-old company, figuring it would sort out the IP stuff later. Though the $1.65 billion purchase price for YouTube was about a billion dollars more than its valuation, it was one of the greatest bargains ever.

This means that galaxies had to be closer to each other in the past. In 1964, Wilson and Penzias discovered the cosmic background radiation, which is a like a fossil of radiation emitted during the beginning of the universe, when it was hot and dense. The cosmic background radiation is observable everywhere in the universe. The composition of the universe - that is, the the number of atoms of different elements - is consistent with the Big Bang Theory. So far, this theory is the only one that can explain why we observe an abundance of primordial elements in the universe.

Our universe is expanding, so it must have been smaller in the past. Indeed, if we rewind our cosmological movie, we see the universe shrinking back almost to a point – the big bang – some 13.8 billion years ago. Is this when time began? Albert Einstein's general theory of relativity tells us that the backdrop of the universe is a fluid continuum, space-time, in which neither space nor time has an absolute meaning. What's more, at the big bang, space-time distorts into a point of infinite density called a singularity.

Always keep an eye on ways that things could go badly wrong, even if they seem unlikely. The more disastrous a potential failure, the more improbable it needs to be, before we can safely ignore it. This principle may seem obvious, but it is easily overlooked in public discourse about risk - even, as we'll see, by well-qualified commentators, who should certainly know better. The present piece is prompted by neglect of the principle in recent discussions about the potential risks of artificial intelligence (AI). I don't think the failing is peculiar to this case, but recent debates in this area provide particularly stark examples of how easily the principle can be overlooked. Part of the problem, in my view, is that there isn't a catchy formulation of this safety principle, already on the tip of educated tongues. By contrast, consider the slogan'Correlation is not causation.' All scientists, science journalists, and policymakers know this phrase.

NASA's James Webb Space Telescope has detected what were believed to be fabled'dark stars' that could solve one of the universe's biggest mysteries. A team of astronomers led by The University of Texas (UT) at Austin identified three potential'dark stars' that formed about 320 million years after the Big Bang, making them the earliest stars ever seen by human eyes. The image shows three fuzzy dots glowing in the blackness of space, but astronomers believe the tiny specs could lead to uncovering the elusive dark matter. Dark stars could only exist if dark matter creates heat at the core, preventing the stars from collapsing and causing them to puff up, which the team found in JWST's observations. Although dark matter makes up about 85 percent of the universe, its nature has eluded scientists.

ChatGPT is an amazing Chatbot with the ability, competency, and confidence to construct paragraphs, sentences, essays, and more. However, this optimism can be deceiving because it succumbs to several common misconceptions among the general public, even though experts know much better. Can an astrophysicist teach ChatGPT to acquire new information and absorb it such that it gives exact responses when it previously gave confident but mistaken ones? When we try to understand anything more intensely, we all end up in an awkward situation: we believe we know how something performs, only to explore that we are wrong. This entails not just learning what is true, but also why what we assumed was true was, in actuality, false, and how we can avoid making the same mistakes again.

The Big Bang in artificial intelligence (AI) refers to the breakthrough in 2012, when a team of researchers led by Geoff Hinton managed to train an artificial neural network (known as a deep learning system) to win an image classification competition by a surprising margin. Prior to that, AI had performed some remarkable feats, but it had never made much money. Since 2012, AI has helped the big technology companies to generate enormous wealth, not least from advertising. Has there been a new Big Bang in AI, since the arrival of Transformers in 2017? In episodes 5 and 6 of the London Futurist podcast, Aleksa Gordic explored this question, and explained how today's cutting-edge AI systems work.

For several years we have been hearing about the potential of Artificial Intelligence (AI) to improve traditional drug discovery and development. In the last two years, clinical trials have begun. The UK's Exscientia made headlines last April by announcing the start of a Phase 1 clinical trial for a drug it designed using AI for an established protein target. Recursion Pharmaceuticals in Utah uses AI to find new uses for the drugs owned by other companies. Insilico Medicine has now announced the crucial next step: the start of the world's first Phase 1 clinical trial of a drug developed from scratch using AI.

Summary: A new machine-learning algorithm is helping researchers uncover the secrets of the quark-gluon plasma. It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as "quark-gluon plasma". Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN. Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea.