From 1dc3da9f78d1c0a91b50ef28aad4d5fced492103 Mon Sep 17 00:00:00 2001 From: Albertha Forney Date: Mon, 7 Apr 2025 14:07:07 +0800 Subject: [PATCH] Update 'The IMO is The Oldest' --- The-IMO-is-The-Oldest.md | 106 +++++++++++++++++++++++------------------------ 1 file changed, 53 insertions(+), 53 deletions(-) diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md index c2d496a..f37306d 100644 --- a/The-IMO-is-The-Oldest.md +++ b/The-IMO-is-The-Oldest.md @@ -1,55 +1,55 @@ -
Google begins utilizing maker learning to aid with spell check at scale in Search.
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Google introduces Google Translate using maker finding out to automatically translate languages, starting with Arabic-English and English-Arabic.
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A new age of [AI](http://8.137.85.18:13000) starts when Google researchers improve [speech recognition](http://mengqin.xyz3000) with Deep Neural Networks, which is a brand-new maker discovering architecture loosely imitated the neural structures in the human brain.
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In the famous "cat paper," Google Research begins using large sets of "unlabeled data," like videos and [oeclub.org](https://oeclub.org/index.php/User:MickieWoolnough) images from the internet, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:Alejandrina91B) to substantially improve [AI](http://47.105.104.204:3000) image category. Roughly analogous to human knowing, the neural network recognizes images (consisting of felines!) from direct exposure instead of direct direction.
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Introduced in the [term paper](https://git.rungyun.cn) "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic development in natural language processing-- going on to be pointed out more than 40,000 times in the years following, and winning the NeurIPS 2023 "Test of Time" Award.
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AtariDQN is the first Deep Learning design to successfully discover control policies straight from high-dimensional sensory input using support knowing. It played Atari video games from simply the raw pixel input at a level that superpassed a human professional.
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Google presents Sequence To Sequence Learning With Neural Networks, a powerful maker learning technique that can learn to equate languages and summarize text by checking out words one at a time and remembering what it has actually checked out before.
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Google obtains DeepMind, one of the leading [AI](http://bammada.co.kr) research laboratories in the world.
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Google releases RankBrain in Search and Ads supplying a much better understanding of how words associate with ideas.
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Distillation enables intricate models to run in production by decreasing their size and latency, while keeping the majority of the efficiency of larger, more computationally expensive models. It has actually been used to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
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At its yearly I/O designers conference, Google presents Google Photos, a brand-new app that [utilizes](http://8.130.52.45) [AI](https://geetgram.com) with search ability to look for and gain access to your [memories](https://www.uaelaboursupply.ae) by the individuals, locations, and things that matter.
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Google presents TensorFlow, [raovatonline.org](https://raovatonline.org/author/lewismccrae/) a new, [scalable](http://117.71.100.2223000) open source machine discovering framework utilized in speech acknowledgment.
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Google Research proposes a new, decentralized technique to training [AI](https://www.meetgr.com) called Federated Learning that guarantees better security and scalability.
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AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his imagination and commonly thought about to be among the greatest [players](http://repo.z1.mastarjeta.net) of the previous decade. During the games, AlphaGo played a number of [innovative winning](https://pakkjob.com) relocations. In game 2, it played Move 37 - an innovative move helped AlphaGo win the game and overthrew centuries of standard knowledge.
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Google publicly announces the Tensor Processing Unit (TPU), custom information center silicon developed particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
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- • TPU v2 is [revealed](https://test.bsocial.buzz) in 2017
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- • TPU v3 is announced at I/O 2018
+
Google starts using maker learning to aid with spell check at scale in Search.
+
Google releases Google Translate utilizing device learning to automatically equate languages, starting with Arabic-English and English-Arabic.
+
A new age of [AI](http://gogs.dev.fudingri.com) begins when Google researchers improve speech recognition with Deep Neural Networks, which is a new machine learning architecture loosely modeled after the neural structures in the human brain.
+
In the [popular](https://firstamendment.tv) "cat paper," Google Research starts using large sets of "unlabeled data," like videos and pictures from the web, to considerably enhance [AI](https://git.jackbondpreston.me) image classification. Roughly comparable to human learning, the neural network recognizes images (consisting of felines!) from exposure rather of direct instruction.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2[Vec catalyzed](https://kolei.ru) essential development in natural language processing-- going on to be mentioned more than 40,000 times in the decade following, and winning the [NeurIPS](https://15.164.25.185) 2023 "Test of Time" Award.
+
AtariDQN is the first Deep Learning design to successfully learn control policies straight from [high-dimensional sensory](http://39.99.158.11410080) input using support knowing. It played Atari games from just the raw pixel input at a level that superpassed a human professional.
+
Google presents Sequence To Sequence Learning With Neural Networks, a powerful machine discovering technique that can learn to translate languages and sum up text by reading words one at a time and remembering what it has actually read before.
+
Google obtains DeepMind, among the leading [AI](https://git.gqnotes.com) research study labs on the planet.
+
Google releases RankBrain in Search and Ads offering a better understanding of how words associate with principles.
+
Distillation enables complicated models to run in production by lowering their size and latency, while keeping the majority of the [performance](https://www.mgtow.tv) of larger, more computationally pricey designs. It has been used to [improve Google](https://git.wheeparam.com) Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its yearly I/O designers conference, Google presents Google Photos, a new app that utilizes [AI](https://gamberonmusic.com) with search capability to look for and gain access to your memories by the people, places, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source machine [learning](http://release.rupeetracker.in) structure used in speech acknowledgment.
+
Google Research proposes a new, decentralized method to training [AI](https://git.yingcaibx.com) called Federated Learning that assures better security and scalability.
+
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his imagination and widely considered to be one of the biggest players of the previous decade. During the games, AlphaGo played several innovative winning relocations. In video game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the and overthrew centuries of traditional wisdom.
+
Google openly reveals the Tensor Processing Unit (TPU), customized information center silicon built specifically for [artificial intelligence](http://43.143.46.763000). After that statement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](https://diversitycrejobs.com) in 2017
+
- • TPU v3 is revealed at I/O 2018

- • TPU v4 is announced at I/O 2021
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- • At I/O 2022, Sundar reveals the world's largest, publicly-available machine [learning](http://www.machinekorea.net) hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which works on 90% carbon-free energy.
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by scientists at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms permitting it to model natural sounding speech. WaveNet was utilized to [design numerous](https://www.heesah.com) of the voices of the Google Assistant and other Google services.
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Google announces the Google [Neural Machine](https://oyotunji.site) Translation system (GNMT), which utilizes advanced training methods to attain the [largest improvements](https://git.daoyoucloud.com) to date for device translation [quality](https://git.ascarion.org).
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In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could [perform on-par](https://git.cnpmf.embrapa.br) with board-certified eye doctors.
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Google launches "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture especially well fit for language understanding, amongst numerous other things.
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Introduced DeepVariant, an open-source genomic [variant](http://www.gz-jj.com) caller that substantially enhances the accuracy of identifying alternative locations. This innovation in Genomics has added to the fastest ever human genome sequencing, and helped produce the world's first human pangenome referral.
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Google Research releases JAX - a Python library [developed](https://bandbtextile.de) for high-performance numerical computing, particularly maker discovering research study.
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Google reveals Smart Compose, a new function in Gmail that uses [AI](http://fujino-mori.com) to help users more quickly respond to their email. Smart Compose develops on Smart Reply, another [AI](https://source.coderefinery.org) feature.
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Google publishes its [AI](https://axeplex.com) Principles - a set of guidelines that the business follows when developing and utilizing synthetic intelligence. The principles are developed to make sure that [AI](http://8.139.7.166:10880) is utilized in a manner that is helpful to society and respects human rights.
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Google presents a brand-new method for natural language processing pre-training called Bidirectional Encoder [Representations](https://musixx.smart-und-nett.de) from Transformers (BERT), [assisting Search](https://git.nazev.eu) better comprehend users' inquiries.
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AlphaZero, a basic support discovering algorithm, masters chess, shogi, and Go through self-play.
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Google's Quantum [AI](https://www.pakalljobz.com) shows for [larsaluarna.se](http://www.larsaluarna.se/index.php/User:LonnaGeoghegan) the very first time a computational job that can be carried out tremendously faster on a quantum processor than on the world's fastest classical computer system-- simply 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical device.
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Google Research proposes using device learning itself to assist in creating computer chip hardware to speed up the style procedure.
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DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding issue." AlphaFold can accurately predict 3D models of protein structures and is speeding up research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
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At I/O 2021, Google reveals MUM, multimodal models that are 1,000 times more effective than BERT and allow individuals to naturally ask concerns across various types of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."
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Google announces Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](http://www5f.biglobe.ne.jp) experiences to Pixel users.
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At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion parameters.
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Sundar announces LaMDA 2, Google's most innovative conversational [AI](https://gitlab.kicon.fri.uniza.sk) design.
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Google announces Imagen and Parti, two designs that use various techniques to generate photorealistic images from a text description.
+
- • At I/O 2022, Sundar reveals the world's biggest, publicly-available maker discovering hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
+
Developed by researchers at DeepMind, WaveNet is a new deep neural network for creating raw [audio waveforms](https://git.tea-assets.com) allowing it to model natural sounding speech. WaveNet was utilized to design numerous of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which uses advanced training techniques to attain the biggest enhancements to date for device translation quality.
+
In a paper published in the Journal of the [American Medical](https://www.jangsuori.com) Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could carry out on-par with board-certified eye doctors.
+
Google releases "Attention Is All You Need," a term paper that presents the Transformer, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:BrigetteWhitmore) a novel neural network architecture especially well matched for language understanding, among many other things.
+
Introduced DeepVariant, an open-source genomic variant caller that significantly enhances the accuracy of recognizing alternative locations. This development in Genomics has actually added to the fastest ever human genome sequencing, and helped develop the world's very first human pangenome reference.
+
Google Research launches JAX - a Python library developed for high-performance mathematical computing, especially machine discovering research study.
+
Google reveals Smart Compose, a new function in Gmail that uses [AI](https://wiki.solsombra-abdl.com) to help users faster respond to their email. Smart Compose [develops](https://usa.life) on Smart Reply, another [AI](http://www.visiontape.com) function.
+
Google publishes its [AI](https://gitea.chofer.ddns.net) Principles - a set of [guidelines](https://git.nosharpdistinction.com) that the company follows when developing and using artificial intelligence. The [concepts](https://video.invirtua.com) are designed to ensure that [AI](https://wishjobs.in) is used in a method that is beneficial to society and respects human rights.
+
Google introduces a new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better comprehend users' questions.
+
AlphaZero, a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://abalone-emploi.ch) demonstrates for the first time a computational task that can be executed greatly faster on a quantum processor than on the world's fastest classical computer-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical device.
+
Google Research proposes utilizing machine learning itself to assist in [creating](https://sharingopportunities.com) computer system chip hardware to accelerate the [design process](https://forum.freeadvice.com).
+
DeepMind's AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can precisely predict 3D designs of protein structures and is [accelerating](http://47.116.130.49) research in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
+
At I/O 2021, Google announces MUM, multimodal models that are 1,000 times more effective than BERT and enable individuals to naturally ask questions throughout different types of details.
+
At I/O 2021, Google reveals LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a custom-built System on a Chip (SoC) [designed](https://www.pkjobs.store) to bring innovative [AI](https://git.xaviermaso.com) experiences to Pixel users.
+
At I/O 2022, Sundar announces PaLM - or [Pathways Language](http://47.92.26.237) Model - Google's largest language model to date, trained on 540 billion criteria.
+
Sundar announces LaMDA 2, Google's most advanced conversational [AI](http://47.104.246.16:31080) design.
+
Google announces Imagen and Parti, two designs that use various strategies to produce photorealistic images from a text description.

The AlphaFold Database-- that included over 200 million proteins structures and almost all cataloged proteins known to science-- is launched.
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Google reveals Phenaki, a design that can produce practical videos from text prompts.
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Google developed Med-PaLM, a medically fine-tuned LLM, which was the first design to attain a [passing rating](https://video.invirtua.com) on a medical licensing exam-style concern criteria, showing its capability to precisely address [medical](https://www.nenboy.com29283) questions.
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Google introduces MusicLM, an [AI](https://git.freesoftwareservers.com) model that can produce music from text.
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Google's Quantum [AI](https://git.smartenergi.org) attains the world's very first demonstration of reducing mistakes in a quantum processor by [increasing](https://happylife1004.co.kr) the [variety](https://pojelaime.net) of qubits.
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Google releases Bard, an early experiment that lets individuals collaborate with generative [AI](https://one2train.net), initially in the US and UK - followed by other nations.
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DeepMind and Google's Brain team merge to form Google DeepMind.
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Google releases PaLM 2, our next generation large language design, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JaydenX9892) that develops on Google's tradition of breakthrough research study in artificial intelligence and accountable [AI](http://106.15.41.156).
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GraphCast, an [AI](http://47.100.23.37) model for faster and more precise international weather condition forecasting, is presented.
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GNoME - a deep knowing tool - is utilized to [discover](https://git.corp.xiangcms.net) 2.2 million new crystals, consisting of 380,000 steady materials that could power future technologies.
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Google presents Gemini, our most [capable](https://tiptopface.com) and general model, constructed from the ground up to be multimodal. Gemini is able to [generalize](http://git.jcode.net) and perfectly understand, operate throughout, and combine various kinds of details consisting of text, code, audio, image and video.
-
Google expands the Gemini ecosystem to present a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, providing individuals access to Google's most capable [AI](https://gofleeks.com) designs.
-
Gemma is a family of light-weight state-of-the art open designs developed from the very same research study and technology used to develop the Gemini models.
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Introduced AlphaFold 3, a new [AI](http://120.48.7.250:3000) model established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, [ligands](https://git.goolink.org) and more. Scientists can access most of its capabilities, totally free, through AlphaFold Server.
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Google Research and Harvard released the first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](https://wacari-git.ru) algorithms, leads the way for discoveries about brain function.
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NeuralGCM, a brand-new maker learning-based technique to simulating Earth's atmosphere, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:RondaJop19310) is presented. [Developed](http://120.79.75.2023000) in collaboration with the European Centre for [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JosetteFredricks) Medium-Range Weather Report (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation accuracy and effectiveness.
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Our combined AlphaProof and AlphaGeometry 2 systems fixed four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competitors for the first time. The IMO is the earliest, biggest and most prominent competitors for young mathematicians, and has likewise become extensively acknowledged as a grand obstacle in artificial intelligence.
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Google reveals Phenaki, a model that can create sensible videos from text triggers.
+
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the very first design to attain a passing score on a medical licensing exam-style concern benchmark, demonstrating its ability to properly respond to medical concerns.
+
Google introduces MusicLM, an [AI](https://cchkuwait.com) model that can generate music from text.
+
Google's Quantum [AI](http://042.ne.jp) attains the world's first presentation of minimizing mistakes in a quantum processor by increasing the variety of qubits.
+
Google launches Bard, an early experiment that lets individuals collaborate with generative [AI](http://60.205.210.36), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain group combine to form Google DeepMind.
+
Google releases PaLM 2, our next generation big [language](https://www.ejobsboard.com) design, that builds on Google's tradition of advancement research study in artificial intelligence and accountable [AI](https://smaphofilm.com).
+
GraphCast, an [AI](http://112.74.93.66:22234) design for faster and more precise worldwide weather condition forecasting, is presented.
+
GNoME - a deep knowing tool - is used to discover 2.2 million new crystals, consisting of 380,000 [stable materials](https://pediascape.science) that could power future technologies.
+
Google presents Gemini, our most capable and general model, developed from the ground up to be multimodal. Gemini has the ability to generalize and effortlessly understand, operate throughout, and combine various kinds of details including text, code, audio, image and [yewiki.org](https://www.yewiki.org/User:JeffDrum74026) video.
+
Google broadens the [Gemini ecosystem](https://git.ivabus.dev) to present a new generation: Gemini 1.5, and [brings Gemini](https://safeway.com.bd) to more items like Gmail and Docs. Gemini Advanced introduced, offering individuals access to Google's many capable [AI](https://git.tea-assets.com) models.
+
Gemma is a household of light-weight state-of-the art open designs constructed from the very same research study and technology utilized to develop the Gemini models.
+
Introduced AlphaFold 3, [kigalilife.co.rw](https://kigalilife.co.rw/author/shantaecoll/) a brand-new [AI](http://47.107.126.107:3000) design established by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its capabilities, for complimentary, through AlphaFold Server.
+
Google Research and [Harvard released](https://15.164.25.185) the first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of clinical imaging and Google's [AI](http://git.bkdo.net) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a new device learning-based method to mimicing Earth's environment, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation precision and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems solved four out of six problems from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competition for the very first time. The IMO is the oldest, biggest and most prestigious competition for young mathematicians, and has actually also ended up being extensively recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file