diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 9741516..794d7cd 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
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Google starts utilizing maker finding out to aid with spell checker at scale in Search.
-
Google launches Google Translate using machine learning to instantly translate languages, beginning with Arabic-English and English-Arabic.
-
A new era of [AI](https://wacari-git.ru) starts when Google scientists [enhance speech](https://xpressrh.com) acknowledgment with [Deep Neural](https://wow.t-mobility.co.il) Networks, which is a new machine finding out architecture loosely designed after the neural structures in the human brain.
-
In the famous "feline paper," Google Research starts using big sets of "unlabeled information," like videos and pictures from the internet, to significantly enhance [AI](http://47.100.81.115) image classification. Roughly comparable to human knowing, the neural network recognizes images (including felines!) from direct exposure instead of direct guideline.
-
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed [essential development](http://jobjungle.co.za) in natural language processing-- going on to be mentioned more than 40,000 times in the decade following, and winning the [NeurIPS](http://cgi3.bekkoame.ne.jp) 2023 "Test of Time" Award.
-
AtariDQN is the very first Deep Learning model to successfully find out control policies straight from high-dimensional sensory input using [support knowing](https://lepostecanada.com). It played [Atari video](http://111.8.36.1803000) games from just the raw pixel input at a level that superpassed a human specialist.
-
Google presents Sequence To Sequence Learning With Neural Networks, an effective maker finding out technique that can discover to equate 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://gitea.freshbrewed.science) research labs in the world.
-
[Google releases](http://47.100.220.9210001) RankBrain in Search and Ads offering a much better understanding of how words relate to concepts.
-
Distillation allows complex designs to run in production by minimizing their size and latency, while keeping the majority of the performance of larger, more computationally costly models. It has actually been used to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O developers conference, Google presents Google Photos, a new app that uses [AI](https://omegat.dmu-medical.de) with search ability to browse for and gain access to your memories by the individuals, places, and things that matter.
-
Google introduces TensorFlow, a new, scalable open source maker learning framework utilized in speech acknowledgment.
-
Google Research proposes a new, [decentralized approach](https://www.rhcapital.cl) to training [AI](https://wiki.eqoarevival.com) called Federated Learning that guarantees enhanced security and scalability.
-
AlphaGo, a computer system program developed by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famous for his imagination and extensively thought about to be one of the [biggest gamers](http://47.105.104.2043000) of the past years. During the video games, AlphaGo played numerous innovative winning moves. In video game 2, it played Move 37 - a creative relocation helped AlphaGo win the [video game](http://git.bzgames.cn) and upended centuries of conventional knowledge.
-
[Google openly](https://animeportal.cl) announces the Tensor Processing Unit (TPU), custom-made data center silicon developed specifically for . After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is [revealed](https://tokemonkey.com) in 2017
-
- • TPU v3 is announced at I/O 2018
-
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, Sundar announces the world's biggest, publicly-available maker [discovering](http://106.52.121.976088) hub, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
-
Developed by [researchers](https://gitea.chenbingyuan.com) at DeepMind, WaveNet is a new deep neural network for creating raw audio waveforms allowing it to model natural sounding speech. WaveNet was used to model much of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which utilizes cutting edge training techniques to attain the biggest enhancements 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 could perform on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a [term paper](https://chumcity.xyz) that presents the Transformer, a novel neural network architecture particularly well matched for language understanding, amongst numerous other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially enhances the precision of determining alternative areas. This innovation in Genomics has contributed to the fastest ever human genome sequencing, and assisted produce the [world's](http://114.132.230.24180) first human pangenome referral.
-
Google Research launches JAX - a Python library designed for high-performance numerical computing, especially device learning research study.
-
Google announces Smart Compose, a brand-new function in Gmail that uses [AI](http://missima.co.kr) to help users faster respond to their email. Smart Compose develops on Smart Reply, another [AI](https://git2.nas.zggsong.cn:5001) function.
-
Google releases its [AI](http://git.info666.com) Principles - a set of standards that the company follows when developing and using expert system. The principles are developed to ensure that [AI](https://git.sofit-technologies.com) is used in a method that is beneficial to society and respects human rights.
-
Google presents a new strategy for [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:Polly21A38) natural language processing pre-training called [Bidirectional Encoder](http://47.121.132.113000) Representations from Transformers (BERT), helping Search much better understand users' inquiries.
-
AlphaZero, a basic support learning algorithm, masters chess, [garagesale.es](https://www.garagesale.es/author/roscoehavel/) shogi, and Go through self-play.
-
Google's Quantum [AI](https://gamehiker.com) shows for the first time a computational task that can be carried out tremendously 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 take on a classical gadget.
-
Google Research [proposes](http://123.60.19.2038088) using device discovering itself to assist in developing computer chip hardware to speed up the [design process](http://energonspeeches.com).
-
DeepMind's AlphaFold is [recognized](http://xn--ok0bw7u60ff7e69dmyw.com) as an option to the 50-year "protein-folding problem." AlphaFold can properly anticipate 3D models of protein structures and is speeding up 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 permit individuals to naturally ask concerns throughout different kinds of details.
-
At I/O 2021, Google announces LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
-
Google announces Tensor, a custom-made System on a Chip (SoC) developed to bring [advanced](http://artin.joart.kr) [AI](https://code.smolnet.org) experiences to Pixel users.
-
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language model to date, trained on 540 billion specifications.
-
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://git.cooqie.ch) design.
-
Google reveals Imagen and Parti, two models that use various strategies to produce photorealistic images from a text description.
-
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins understood to science-- is launched.
-
[Google announces](http://47.120.70.168000) Phenaki, a design that can generate realistic videos from text prompts.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the very first design to attain a passing rating on a [medical](https://tube.leadstrium.com) licensing exam-style question criteria, demonstrating its ability to accurately respond to [medical](https://git.xxb.lttc.cn) questions.
-
Google introduces MusicLM, an [AI](http://xn--vk1b975azoatf94e.com) model that can generate music from text.
-
Google's Quantum [AI](http://106.52.215.152:3000) attains the world's very first presentation of reducing errors in a quantum processor by increasing the variety of qubits.
-
Google launches Bard, an early experiment that lets people work together with generative [AI](https://celflicks.com), first in the US and UK - followed by other countries.
+
Google starts using maker finding out to aid with spell checker at scale in Search.
+
Google launches Google Translate using machine finding out to immediately equate languages, beginning with Arabic-English and English-Arabic.
+
A new age of [AI](https://earthdailyagro.com) begins when Google researchers improve speech acknowledgment with Deep Neural Networks, which is a brand-new machine learning architecture loosely imitated the neural structures in the human brain.
+
In the famous "cat paper," Google Research begins utilizing large sets of "unlabeled information," like videos and photos from the internet, to considerably enhance [AI](http://59.37.167.93:8091) image category. [Roughly analogous](https://elitevacancies.co.za) to human learning, the neural network acknowledges images (including cats!) from exposure rather of direct instruction.
+
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental development in natural language processing-- going on to be mentioned more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the very first [Deep Learning](https://youslade.com) design to effectively learn control policies straight from high-dimensional sensory input utilizing reinforcement knowing. It played Atari games from just the raw pixel input at a level that superpassed a human professional.
+
Google provides Sequence To Sequence Learning With Neural Networks, an effective machine discovering technique that can find out to equate languages and summarize text by checking out words one at a time and remembering what it has checked out before.
+
Google obtains DeepMind, one of the leading [AI](http://101.35.184.155:3000) research laboratories on the planet.
+
Google releases RankBrain in Search and Ads providing a much better [understanding](http://vivefive.sakura.ne.jp) of how words relate to principles.
+
Distillation enables intricate designs to run in production by lowering their size and latency, while keeping the majority of the efficiency of bigger, more computationally costly models. It has been used to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its annual I/O developers conference, Google presents Google Photos, a brand-new app that uses [AI](https://clearcreek.a2hosted.com) with search ability to look for and gain access to your [memories](https://trackrecord.id) by the people, places, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source machine learning structure utilized in speech acknowledgment.
+
Google Research proposes a brand-new, decentralized method to training [AI](http://gitlab.ifsbank.com.cn) called Federated Learning that guarantees better security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the legendary Lee Sedol, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JackSchultz) winner of 18 world titles, renowned for his imagination and widely thought about to be one of the [biggest players](http://47.113.125.2033000) of the past decade. During the games, AlphaGo played a number of innovative winning relocations. In video game 2, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:BYYSalvatore) it played Move 37 - a creative move helped AlphaGo win the video game and upended centuries of standard knowledge.
+
Google openly reveals the Tensor Processing Unit (TPU), customized information center silicon built particularly for [artificial intelligence](http://xn--mf0bm6uh9iu3avi400g.kr). After that statement, the TPU continues to gain momentum:
+
- • TPU v2 is announced in 2017
+
- • TPU v3 is revealed at I/O 2018
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, Sundar announces the world's largest, publicly-available machine discovering hub, 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 at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms enabling it to model natural [sounding](https://mediawiki.hcah.in) speech. WaveNet was used to model many of the voices of the Google Assistant and [larsaluarna.se](http://www.larsaluarna.se/index.php/User:MoisesLeger) other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which [utilizes](http://8.222.216.1843000) state-of-the-art training techniques to attain the largest enhancements to date for maker translation quality.
+
In a paper released in the Journal of the American Medical Association, Google shows that a machine-learning driven system for identifying diabetic retinopathy from a retinal image could carry out on-par with board-certified ophthalmologists.
+
Google releases "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture particularly well matched for [it-viking.ch](http://it-viking.ch/index.php/User:PrinceTalbott9) language understanding, amongst numerous other things.
+
Introduced DeepVariant, an [open-source genomic](http://120.77.209.1763000) variant caller that considerably improves the precision of determining alternative places. This innovation in Genomics has actually added to the fastest ever [human genome](http://git.ndjsxh.cn10080) sequencing, and helped develop the world's very first human pangenome reference.
+
Google Research launches JAX - a Python library designed for high-performance mathematical computing, especially maker learning research.
+
Google announces Smart Compose, a new feature in Gmail that utilizes [AI](https://xn--114-2k0oi50d.com) to assist users quicker reply to their email. Smart Compose develops on Smart Reply, another [AI](https://21fun.app) feature.
+
its [AI](https://1.214.207.44:10333) Principles - a set of standards that the company follows when establishing and [utilizing synthetic](https://evove.io) intelligence. The principles are designed to ensure that [AI](http://b-ways.sakura.ne.jp) is used in a way that is advantageous to society and aspects human rights.
+
Google introduces a new method for natural language processing pre-training called Bidirectional [Encoder Representations](http://121.40.114.1279000) from Transformers (BERT), helping Search much better understand users' inquiries.
+
AlphaZero, [wakewiki.de](https://www.wakewiki.de/index.php?title=Benutzer:DellMcGuirk7653) a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://sing.ibible.hk) demonstrates for the very first time a computational task that can be carried out greatly much faster on a quantum processor than on the world's fastest classical computer-- simply 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical device.
+
Google Research proposes using device learning itself to help in producing computer chip hardware to speed up the design process.
+
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding problem." AlphaFold can accurately forecast 3D designs of protein structures and is speeding up research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
+
At I/O 2021, Google reveals MUM, multimodal models that are 1,000 times more effective than BERT and allow people to naturally ask questions throughout various types of details.
+
At I/O 2021, [Google announces](https://eduberkah.disdikkalteng.id) LaMDA, a new conversational technology brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a [customized](http://git.attnserver.com) System on a Chip (SoC) created to bring advanced [AI](https://gitea.alaindee.net) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion criteria.
+
Sundar reveals LaMDA 2, Google's most advanced conversational [AI](https://gruppl.com) model.
+
Google reveals Imagen and Parti, 2 models that use different techniques to create [photorealistic images](https://mediawiki1263.00web.net) from a text description.
+
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins known to science-- is released.
+
Google reveals Phenaki, a design that can generate realistic videos from text triggers.
+
Google established Med-PaLM, a medically fine-tuned LLM, which was the very first design to attain a passing rating on a medical licensing exam-style concern criteria, demonstrating its ability to precisely answer medical questions.
+
Google introduces MusicLM, an [AI](https://sportworkplace.com) model that can generate music from text.
+
Google's Quantum [AI](https://git.fhlz.top) attains the world's first presentation of decreasing mistakes in a quantum processor by increasing the number of qubits.
+
Google releases Bard, an early experiment that lets people work together with generative [AI](https://lonestartube.com), initially in the US and UK - followed by other countries.
DeepMind and Google's Brain team merge to form Google DeepMind.
-
Google launches PaLM 2, our next generation big language design, that develops on Google's legacy of breakthrough research in artificial intelligence and responsible [AI](https://mediascatter.com).
-
GraphCast, an [AI](https://www.passadforbundet.se) design for faster and more accurate global [weather](http://missima.co.kr) forecasting, is introduced.
-
GNoME - a deep knowing 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 model, built from the ground up to be multimodal. Gemini has the ability to generalize and perfectly understand, operate across, and combine different kinds of [details consisting](http://140.82.32.174) of text, code, [ratemywifey.com](https://ratemywifey.com/author/martyhayes/) audio, image and video.
-
Google expands the Gemini environment to introduce a new generation: Gemini 1.5, [pediascape.science](https://pediascape.science/wiki/User:ClariceMaskell1) and [brings Gemini](https://linked.aub.edu.lb) to more items like Gmail and Docs. Gemini Advanced launched, giving individuals access to Google's the majority of capable [AI](https://bpx.world) models.
-
Gemma is a family of light-weight state-of-the art open designs built from the exact same research study and technology used to develop the Gemini designs.
-
Introduced AlphaFold 3, a brand-new [AI](https://evertonfcfansclub.com) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its abilities, totally free, through AlphaFold Server.
-
Google Research and Harvard published the very first synaptic-resolution reconstruction of the human brain. This accomplishment, enabled by the fusion of clinical imaging and Google's [AI](https://www.scikey.ai) algorithms, leads the way for [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11937574) discoveries about brain function.
-
NeuralGCM, a brand-new device learning-based method to replicating Earth's environment, is presented. Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM combines standard physics-based modeling with ML for [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:CoraIzy82890578) improved simulation precision and effectiveness.
-
Our integrated AlphaProof and AlphaGeometry 2 systems fixed four out of six problems from the 2024 [International](http://42.192.14.1353000) Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competition for the very first time. The IMO is the earliest, largest and most prominent competition for young mathematicians, and has likewise ended up being commonly acknowledged as a [grand obstacle](http://git.baige.me) in artificial intelligence.
\ No newline at end of file
+
Google introduces PaLM 2, our next generation big language model, that constructs on Google's tradition of advancement research in artificial intelligence and accountable [AI](http://yijichain.com).
+
GraphCast, an [AI](https://repos.ubtob.net) design for faster and more accurate international weather condition forecasting, is introduced.
+
GNoME - a deep knowing tool - is used to find 2.2 million brand-new crystals, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:MichellDevereaux) consisting of 380,000 steady products that could power future innovations.
+
Google introduces Gemini, our most capable and basic model, built from the ground up to be multimodal. Gemini has the ability to generalize and effortlessly understand, run throughout, and combine different types of details including text, code, audio, image and video.
+
Google broadens the Gemini ecosystem to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, offering people access to Google's many capable [AI](https://wrqbt.com) designs.
+
Gemma is a household of light-weight state-of-the art open designs constructed from the very same research and technology used to create the Gemini designs.
+
Introduced AlphaFold 3, a new [AI](http://121.36.27.6:3000) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:BrandyVail1) RNA, ligands and more. Scientists can access most of its capabilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the blend of clinical imaging and Google's [AI](https://convia.gt) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a new machine learning-based approach to simulating Earth's atmosphere, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates conventional physics-based modeling with ML for enhanced simulation accuracy and efficiency.
+
Our integrated AlphaProof and AlphaGeometry 2 systems solved four out of 6 problems from the 2024 International [Mathematical Olympiad](https://gitlab.companywe.co.kr) (IMO), attaining the same level as a silver medalist in the competition for the very first time. The IMO is the earliest, largest and most distinguished competitors for young mathematicians, and has also ended up being commonly recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file