diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 5f69cf6..685f974 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts using maker finding out to aid with [spell checker](https://www.onlywam.tv) at scale in Search.
-
Google introduces Google Translate using device learning to immediately translate languages, starting with Arabic-English and English-Arabic.
-
A new era of [AI](https://git.yharnam.xyz) starts when Google scientists enhance speech recognition with Deep Neural Networks, which is a new maker discovering architecture loosely imitated the neural structures in the human brain.
-
In the well-known "feline paper," Google Research begins using large sets of "unlabeled information," like videos and images from the web, to substantially improve [AI](https://git.connectplus.jp) image classification. Roughly analogous to human learning, the [neural network](http://ufidahz.com.cn9015) acknowledges images (including cats!) from direct exposure rather of direct guideline.
-
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental progress in natural language processing-- going on to be cited more than 40,000 times in the years following, and winning the NeurIPS 2023 "Test of Time" Award.
-
AtariDQN is the first Deep Learning design to successfully find out control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari video games from simply 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 discover to translate languages and summarize text by checking out words one at a time and remembering what it has actually read previously.
-
Google obtains DeepMind, among the leading [AI](https://git.wun.im) research study labs in the world.
-
Google deploys RankBrain in Search and Ads offering a better understanding of how words connect to concepts.
-
Distillation allows complicated designs to run in production by lowering their size and latency, while keeping the majority of the performance of larger, more computationally costly models. It has been used to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its yearly I/O developers conference, Google presents Google Photos, a new app that uses [AI](https://sublimejobs.co.za) with search capability to search for and gain access to your memories by the people, locations, and things that matter.
-
Google introduces TensorFlow, a brand-new, scalable open source maker learning structure utilized in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized technique to training [AI](https://kod.pardus.org.tr) called Federated Learning that assures enhanced security and scalability.
-
AlphaGo, a computer system program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his imagination and commonly considered to be among the best players of the previous years. During the video games, AlphaGo played a number of inventive winning relocations. In video game 2, it played Move 37 - an innovative relocation helped AlphaGo win the game and upended centuries of traditional wisdom.
-
Google openly reveals the Tensor Processing Unit (TPU), custom-made information center silicon built specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is revealed in 2017
-
- • TPU v3 is announced at I/O 2018
-
- • TPU v4 is announced at I/O 2021
-
- • At I/O 2022, Sundar announces the world's largest, publicly-available device [finding](https://dash.bss.nz) out center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which works on 90% carbon-free energy.
-
Developed by [researchers](https://gitlab.rlp.net) at DeepMind, WaveNet is a brand-new deep neural network for generating raw audio waveforms permitting it to model natural sounding speech. WaveNet was used to design a lot of the voices of the Google Assistant and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), which utilizes advanced training techniques to attain the biggest improvements to date for device translation quality.
-
In a paper released in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image could perform on-par with board-certified ophthalmologists.
-
Google launches "Attention Is All You Need," a research study paper that introduces the Transformer, a novel neural network architecture especially well suited for language understanding, among lots of other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that substantially enhances the precision of identifying alternative locations. This innovation in Genomics has actually added to the fastest ever human genome sequencing, [fishtanklive.wiki](https://fishtanklive.wiki/User:DouglasWhitney) and assisted develop the world's very first human pangenome referral.
-
Google Research releases JAX - a [Python library](https://media.motorsync.co.uk) developed for high-performance numerical computing, particularly machine discovering research.
-
[Google reveals](https://git.7vbc.com) Smart Compose, a new [function](https://rrallytv.com) in Gmail that uses [AI](https://code.linkown.com) to assist users quicker reply to their email. Smart Compose constructs on Smart Reply, another [AI](http://enhr.com.tr) feature.
-
Google publishes its [AI](http://enhr.com.tr) Principles - a set of guidelines that the company follows when establishing and utilizing synthetic intelligence. The [concepts](http://13.213.171.1363000) are created to [guarantee](https://tribetok.com) that [AI](http://pakgovtjob.site) is used in such a way that is beneficial to society and aspects human rights.
-
Google presents a new technique for natural language processing pre-training called Bidirectional [Encoder Representations](https://git.vincents.cn) from Transformers (BERT), assisting Search much better comprehend users' questions.
-
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://igit.heysq.com) demonstrates for the very first time a computational task that can be carried out greatly [quicker](https://avajustinmedianetwork.com) on a quantum processor than on the world's fastest [classical](http://gogs.fundit.cn3000) computer system-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a [classical gadget](https://www.dpfremovalnottingham.com).
-
Google Research proposes utilizing [machine](https://thevesti.com) discovering itself to help in producing computer system [chip hardware](http://repo.jd-mall.cn8048) to accelerate the design procedure.
-
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding issue." AlphaFold can accurately predict 3D models of protein structures and is accelerating research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, multimodal designs that are 1,000 times more effective than BERT and allow individuals to naturally ask questions throughout various kinds of details.
-
At I/O 2021, Google reveals LaMDA, a brand-new conversational [innovation](https://desarrollo.skysoftservicios.com) brief for "Language Model for Dialogue Applications."
-
Google announces Tensor, a [customized](https://test.manishrijal.com.np) System on a Chip (SoC) developed to bring advanced [AI](https://antoinegriezmannclub.com) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion criteria.
-
Sundar announces LaMDA 2, Google's most sophisticated conversational [AI](http://193.9.44.91) design.
-
Google announces Imagen and Parti, 2 designs that use different methods to produce photorealistic images from a text description.
-
The AlphaFold [Database--](https://gogs.xinziying.com) which consisted of over 200 million proteins structures and almost all [cataloged](https://fydate.com) to science-- is launched.
-
[Google reveals](http://www.haimimedia.cn3001) Phenaki, a model that can create realistic videos from text prompts.
-
Google established Med-PaLM, a [medically fine-tuned](http://47.92.26.237) LLM, which was the very first model to attain a passing rating on a medical licensing exam-style concern criteria, showing its capability to properly address medical questions.
-
Google presents MusicLM, an [AI](http://39.105.128.46) model that can generate music from text.
-
Google's Quantum [AI](http://101.200.241.6:3000) attains the world's first demonstration of reducing mistakes in a quantum processor by increasing the number of qubits.
-
Google launches Bard, an early experiment that lets people team up with generative [AI](https://elsingoteo.com), initially in the US and UK - followed by other countries.
-
DeepMind and Google's Brain team combine to form Google DeepMind.
-
Google introduces PaLM 2, our next generation big language design, that constructs on Google's legacy of advancement research in artificial intelligence and [accountable](https://meephoo.com) [AI](http://gogs.funcheergame.com).
-
GraphCast, an [AI](https://kronfeldgit.org) design for faster and more precise worldwide weather condition forecasting, is introduced.
-
GNoME - a deep learning tool - is utilized to find 2.2 million brand-new crystals, consisting of 380,000 stable materials that could power future innovations.
-
Google introduces Gemini, our most capable and general design, developed from the ground up to be [multimodal](https://xn--939a42kg7dvqi7uo.com). Gemini has the ability to generalize and flawlessly understand, run throughout, and combine various kinds of details including text, code, audio, image and video.
-
Google expands the Gemini environment to introduce a brand-new generation: Gemini 1.5, and brings Gemini to more [products](https://git.ffho.net) like Gmail and Docs. Gemini Advanced released, providing individuals access to Google's many capable [AI](http://dancelover.tv) designs.
-
Gemma is a household of light-weight state-of-the art open [models constructed](https://radi8tv.com) from the exact same research and innovation used to develop the Gemini designs.
-
Introduced AlphaFold 3, a new [AI](https://git.gqnotes.com) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its abilities, totally free, through [AlphaFold Server](http://gpra.jpn.org).
-
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This accomplishment, enabled by the fusion of clinical imaging and [Google's](http://61.174.243.2815863) [AI](https://code.balsoft.ru) algorithms, paves the way for discoveries about brain function.
-
NeuralGCM, a new device learning-based technique to simulating Earth's environment, is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for [improved simulation](https://www.rozgar.site) accuracy and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 systems resolved four out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competitors for the very first time. The IMO is the earliest, biggest and most distinguished competition for young mathematicians, and has likewise ended up being extensively recognized as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
Google starts utilizing device finding out to aid with spell checker at scale in Search.
+
Google launches Google Translate utilizing machine discovering to automatically equate languages, starting with Arabic-English and English-Arabic.
+
A new era of [AI](https://home.zhupei.me:3000) starts when Google scientists improve speech acknowledgment with Deep Neural Networks, which is a brand-new maker discovering architecture loosely designed after the neural structures in the human brain.
+
In the well-known "feline paper," Google Research begins using big sets of "unlabeled data," like videos and pictures from the web, to significantly enhance [AI](http://christiancampnic.com) image category. Roughly comparable to human learning, the neural network recognizes images (consisting of cats!) from exposure instead of direct instruction.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental progress in natural language processing-- going on to be mentioned more than 40,000 times in the years following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the very first Deep Learning design to effectively learn control policies straight from high-dimensional sensory input utilizing support learning. It played Atari video games from just the raw pixel input at a level that superpassed a human professional.
+
Google provides Sequence To Sequence Learning With Neural Networks, a powerful machine learning technique that can discover to equate languages and summarize text by [reading](https://signedsociety.com) words one at a time and remembering what it has actually [checked](http://git.zhongjie51.com) out in the past.
+
Google obtains DeepMind, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) among the [leading](https://www.indianhighcaste.com) [AI](http://tpgm7.com) research laboratories worldwide.
+
Google releases RankBrain in Search and a better understanding of how words associate with principles.
+
Distillation allows intricate designs to run in production by lowering their size and latency, while [keeping](https://gogolive.biz) many of the efficiency of larger, more [computationally costly](https://git.riomhaire.com) models. It has actually been used to [enhance Google](https://cannabisjobs.solutions) Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its annual I/O [designers](http://it-viking.ch) conference, Google presents Google Photos, a brand-new app that uses [AI](https://git.aiadmin.cc) with search capability to browse for and gain access to your memories by the people, locations, and things that matter.
+
Google introduces TensorFlow, a new, scalable open source device discovering framework utilized in speech acknowledgment.
+
Google Research proposes a new, decentralized method to training [AI](http://47.94.142.235:10230) called Federated Learning that guarantees enhanced security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his creativity and widely thought about to be one of the best gamers of the previous years. During the games, AlphaGo played a number of innovative winning relocations. In game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the game and upended centuries of standard wisdom.
+
Google publicly reveals the Tensor Processing Unit (TPU), custom-made information center silicon constructed specifically for [pipewiki.org](https://pipewiki.org/wiki/index.php/User:EveretteButters) artificial intelligence. After that statement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](https://git.kicker.dev) in 2017
+
- • TPU v3 is revealed at I/O 2018
+
- • TPU v4 is revealed at I/O 2021
+
- • At I/O 2022, Sundar announces the world's largest, publicly-available maker finding out center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for generating raw audio waveforms permitting it to model natural sounding speech. WaveNet was used to design much of the voices of the Google Assistant and other Google services.
+
Google reveals the Google Neural Machine Translation system (GNMT), which utilizes advanced training techniques to attain the largest improvements to date for machine translation quality.
+
In a paper released in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might carry out on-par with board-certified ophthalmologists.
+
Google releases "Attention Is All You Need," a research paper that presents the Transformer, an unique neural network architecture especially well matched for language understanding, among lots of other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably enhances the precision of recognizing alternative areas. This development in Genomics has actually added to the fastest ever human genome sequencing, and helped create the world's first human pangenome recommendation.
+
Google Research releases JAX - a Python library created for high-performance mathematical computing, especially device learning research study.
+
Google announces Smart Compose, a [brand-new feature](http://www.colegio-sanandres.cl) in Gmail that utilizes [AI](https://3flow.se) to assist users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://www.oemautomation.com:8888) function.
+
Google releases its [AI](https://www.teamswedenclub.com) Principles - a set of guidelines that the business follows when establishing and utilizing synthetic intelligence. The principles are designed to ensure that [AI](https://bogazicitube.com.tr) is used in a manner that is useful to society and respects human rights.
+
Google introduces a new [technique](https://gitlab-heg.sh1.hidora.com) for [natural language](http://valueadd.kr) [processing pre-training](https://nusalancer.netnation.my.id) called Bidirectional Encoder Representations from Transformers (BERT), [helping Search](http://162.14.117.2343000) much better understand users' questions.
+
AlphaZero, a basic reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://www.telewolves.com) shows for the first time a computational task that can be performed tremendously faster on a quantum processor than on the world's fastest classical computer system-- just 200 seconds on a quantum processor compared to the 10,000 years it would take on a [classical device](https://gitlab.lycoops.be).
+
Google Research proposes utilizing machine discovering itself to assist in creating computer chip hardware to speed up the design procedure.
+
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding problem." AlphaFold can properly anticipate 3D designs of protein structures and is speeding up research study in biology. This work went on to get a Nobel Prize in [Chemistry](https://whotube.great-site.net) in 2024.
+
At I/O 2021, Google reveals MUM, multimodal models that are 1,000 times more powerful than BERT and allow people to naturally ask questions across various types of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-built System on a Chip (SoC) created to bring advanced [AI](https://gitlab.tenkai.pl) [experiences](https://earlyyearsjob.com) to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion parameters.
+
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://gitlab.appgdev.co.kr) design.
+
Google announces Imagen and Parti, two designs that utilize different techniques to create photorealistic images from a text description.
+
The [AlphaFold Database--](http://121.28.134.382039) which included over 200 million [proteins structures](https://www.bongmedia.tv) and almost all cataloged proteins understood to science-- is launched.
+
Google reveals Phenaki, a design that can produce reasonable videos from text prompts.
+
Google established Med-PaLM, a medically fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style question benchmark, showing its ability to accurately answer medical concerns.
+
Google introduces MusicLM, an [AI](http://212.64.10.162:7030) design that can produce music from text.
+
Google's Quantum [AI](https://tv.360climatechange.com) attains the world's first presentation of lowering mistakes in a quantum processor by [increasing](http://111.160.87.828004) the variety of qubits.
+
Google releases Bard, an early experiment that lets individuals team up with generative [AI](https://cariere.depozitulmax.ro), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
Google introduces PaLM 2, our next generation large language model, that constructs on Google's tradition of advancement research in artificial intelligence and accountable [AI](https://www.opad.biz).
+
GraphCast, an [AI](http://117.50.220.191:8418) design for faster and [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:KerryStein98955) more precise worldwide weather forecasting, is introduced.
+
GNoME - a deep knowing tool - is used to discover 2.2 million brand-new crystals, including 380,000 stable products that could power [future technologies](https://marcosdumay.com).
+
Google presents Gemini, our most capable and general design, developed from the ground up to be [multimodal](https://tubechretien.com). Gemini has the [ability](https://redebrasil.app) to generalize and effortlessly understand, operate across, and combine different kinds of details including text, code, audio, image and video.
+
Google broadens the Gemini ecosystem to present a brand-new generation: [garagesale.es](https://www.garagesale.es/author/lyndoncoove/) Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, providing individuals access to Google's the [majority](https://www.meditationgoodtip.com) of capable [AI](http://optx.dscloud.me:32779) designs.
+
Gemma is a family of [light-weight state-of-the](https://napvibe.com) art open models developed from the very same research study and innovation used to develop the Gemini models.
+
Introduced AlphaFold 3, a brand-new [AI](https://sujansadhu.com) model developed by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its capabilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard released the first synaptic-resolution restoration of the human brain. This accomplishment, made possible by the blend of scientific imaging and Google's [AI](http://82.223.37.137) algorithms, leads the way for [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:ReedDugger) discoveries about brain function.
+
NeuralGCM, a new maker learning-based [approach](https://sossdate.com) to simulating Earth's environment, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for [larsaluarna.se](http://www.larsaluarna.se/index.php/User:OGHAllison) enhanced simulation accuracy and effectiveness.
+
Our integrated AlphaProof and AlphaGeometry 2 systems fixed four out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competitors for the very first time. The IMO is the earliest, [largest](https://git.wun.im) and most distinguished competition for young mathematicians, and has also ended up being commonly recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file