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Les IA de Google ont battu la plupart des humains lors d’une compétition de mathématiques
news.movim.eu / Numerama · 2 days ago - 17:41
Google a réussi à placer ses IA AlphaGeometry 2 et AlphaProof à deux doigts de la médaille d'or des Olympiades Internationales de Mathématiques. Les deux programmes ont reçu une médaille d'argent et AlphaGeometry 2 a bluffé par l'élégance et la rapidité de sa solution.
Google DeepMind takes step closer to cracking top-level maths
news.movim.eu / TheGuardian · 2 days ago - 16:59 · 2 minutes
Team of two new AI systems score one point short of gold medal in global maths contest for gifted students
Even though computers were made to do maths faster than any human could manage, the top level of formal mathematics remains an exclusively human domain. But a breakthrough by researchers at Google DeepMind has brought AI systems closer than ever to beating the best human mathematicians at their own game.
A pair of new systems, called AlphaProof and AlphaGeometry 2, worked together to tackle questions from the International Mathematical Olympiad, a global maths competition for secondary-school students that has been running since 1959. The Olympiad takes the form of six mind-bogglingly hard questions each year, covering fields including algebra, geometry and number theory. Winning a gold medal places you among the best handful of young mathematicians in the world.
Let ABC be a triangle with AB < AC < BC . Let the incentre and incircle of triangle ABC be I and ω , respectively. Let X be the point on line BC different from C such that the line through X parallel to AC is tangent to ω . Similarly, let Y be the point on line BC different from B such that the line through Y parallel to AB is tangent to ω . Let AI intersect the circumcircle of triangle ABC again at P ≠ A . Let K and L be the midpoints of AC and AB , respectively.
Prove that ∠ KIL + ∠ YPX = 180◦.
Turbo the snail plays a game on a board with 2024 rows and 2023 columns. There are hidden monsters in 2022 of the cells. Initially, Turbo does not know where any of the monsters are, but he knows that there is exactly one monster in each row except the first row and the last row, and that each column contains at most one monster.
Turbo makes a series of attempts to go from the first row to the last row. On each attempt, he chooses to start on any cell in the first row, then repeatedly moves to an adjacent cell sharing a common side. (He is allowed to return to a previously visited cell.) If he reaches a cell with a monster, his attempt ends and he is transported back to the first row to start a new attempt. The monsters do not move, and Turbo remembers whether or not each cell he has visited contains a monster. If he reaches any cell in the last row, his attempt ends and the game is over.
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Google gagne une médaille d’argent aux Olympiades Internationales de Mathématiques… avec une IA
news.movim.eu / Numerama · 2 days ago - 15:30
Google a réussi à placer ses IA AlphaGeometry 2 et AlphaProof à deux doigts de la médaille d'or des Olympiades Internationales de Mathématiques. Les deux programmes ont reçu une médaille d'argent et AlphaGeometry 2 a bluffé par l'élégance et la rapidité de sa solution.
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Des robots vraiment plus malins chez Google et DeepMind
news.movim.eu / JournalDuGeek · 6 days ago - 10:02
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Political deepfakes are the most popular way to misuse AI
news.movim.eu / ArsTechnica · Tuesday, 25 June - 13:43
Enlarge (credit: Arkadiusz Warguła via Getty )
Artificial intelligence-generated “deepfakes” that impersonate politicians and celebrities are far more prevalent than efforts to use AI to assist cyber attacks, according to the first research by Google’s DeepMind division into the most common malicious uses of the cutting-edge technology.
The study said the creation of realistic but fake images, video, and audio of people was almost twice as common as the next highest misuse of generative AI tools: the falsifying of information using text-based tools, such as chatbots, to generate misinformation to post online.
The most common goal of actors misusing generative AI was to shape or influence public opinion, the analysis, conducted with the search group’s research and development unit Jigsaw, found. That accounted for 27 percent of uses, feeding into fears over how deepfakes might influence elections globally this year.
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Des employés d’OpenAI et de Google DeepMind veulent un droit d’alerte sur l’IA
news.movim.eu / JournalDuGeek · Saturday, 8 June - 15:00
OpenAI and Google DeepMind workers warn of AI industry risks in open letter
news.movim.eu / TheGuardian · Tuesday, 4 June - 17:07
Current and former workers sign letter warning of lack of safety oversight and calling for more protections for whistleblowers
A group of current and former employees at prominent artificial intelligence companies issued an open letter on Tuesday that warned of a lack of safety oversight within the industry and called for increased protections for whistleblowers.
The letter, which calls for a “right to warn about artificial intelligence”, is one of the most public statements about the dangers of AI from employees within what is generally a secretive industry. Eleven current and former OpenAI workers signed the letter, along with two current or former Google DeepMind employees – one of whom previously worked at Anthropic.
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On a essayé le projet Astra : vivement le retour des Google Glass !
news.movim.eu / Numerama · Wednesday, 15 May - 07:42
À Mountain View, Numerama a pu obtenir des informations exclusives sur « Project Astra », la nouvelle expérimentation de DeepMind qui offre à l'intelligence artificielle Gemini des yeux et des oreilles. La réponse de Google à ChatGPT Voice est plutôt encourageante.
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DeepMind adds a diffusion engine to latest protein-folding software
news.movim.eu / ArsTechnica · Wednesday, 8 May - 19:45 · 1 minute
Enlarge / Prediction of the structure of a coronavirus Spike protein from a virus that causes the common cold. (credit: Google DeepMind)
Most of the activities that go on inside cells—the activities that keep us living, breathing, thinking animals—are handled by proteins. They allow cells to communicate with each other, run a cell's basic metabolism, and help convert the information stored in DNA into even more proteins. And all of that depends on the ability of the protein's string of amino acids to fold up into a complicated yet specific three-dimensional shape that enables it to function.
Up until this decade, understanding that 3D shape meant purifying the protein and subjecting it to a time- and labor-intensive process to determine its structure. But that changed with the work of DeepMind, one of Google's AI divisions, which released Alpha Fold in 2021 , and a similar academic effort shortly afterward. The software wasn't perfect; it struggled with larger proteins and didn't offer high-confidence solutions for every protein. But many of its predictions turned out to be remarkably accurate .
Even so, these structures only told half of the story. To function, almost every protein has to interact with something else—other proteins, DNA, chemicals, membranes, and more. And, while the initial version of AlphaFold could handle some protein-protein interactions, the rest remained black boxes. Today, DeepMind is announcing the availability of version 3 of AlphaFold, which has seen parts of its underlying engine either heavily modified or replaced entirely. Thanks to these changes, the software now handles a variety of additional protein interactions and modifications.
