diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index f26f77d..f853ab3 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 machine out to aid with spell checker at scale in Search.
-
Google launches Google Translate utilizing machine discovering to immediately translate languages, beginning with Arabic-English and English-Arabic.
-
A brand-new era of [AI](https://recrutevite.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](https://sodam.shop) in the [human brain](https://www.olindeo.net).
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In the famous "cat paper," Google Research begins using large sets of "unlabeled data," like videos and images from the internet, to significantly improve [AI](https://marcosdumay.com) image classification. Roughly analogous to human knowing, the neural network acknowledges images (including cats!) from exposure rather of direct instruction.
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Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the [NeurIPS](https://redebrasil.app) 2023 "Test of Time" Award.
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AtariDQN is the first Deep Learning model to successfully discover control policies straight from high-dimensional sensory input utilizing reinforcement learning. It played Atari games from just the raw pixel input at a level that superpassed a human specialist.
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Google presents Sequence To Sequence Learning With Neural Networks, an effective device discovering method that can find out to translate languages and sum up text by checking out words one at a time and remembering what it has checked out before.
-
Google obtains DeepMind, among the leading [AI](https://aubameyangclub.com) research labs worldwide.
-
Google deploys RankBrain in Search and Ads supplying a better understanding of how words connect to concepts.
-
Distillation permits complicated designs to run in production by reducing their size and latency, while keeping the majority of the performance of bigger, more computationally pricey models. It has actually been utilized to improve Google Search and [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:TanyaRiley2) Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O designers conference, Google presents Google Photos, a new app that uses [AI](https://www.facetwig.com) with search capability to browse for and gain access to your memories by the people, places, and things that matter.
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Google presents TensorFlow, a brand-new, scalable open source device finding out framework utilized in speech recognition.
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Google Research proposes a new, decentralized technique to training [AI](http://wiki.iurium.cz) called [Federated Learning](http://forum.pinoo.com.tr) that promises improved security and [scalability](https://www.mafiscotek.com).
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his creativity and commonly thought about to be one of the greatest players of the past decade. During the video games, AlphaGo played several inventive [winning moves](https://dev-members.writeappreviews.com). In [video game](https://www.weben.online) 2, it played Move 37 - an innovative move assisted AlphaGo win the game and overthrew centuries of traditional knowledge.
-
Google publicly announces the Tensor Processing Unit (TPU), custom information center silicon built particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is revealed in 2017
+
Google starts utilizing machine discovering to aid with spell checker at scale in Search.
+
Google launches Google Translate utilizing device learning to immediately equate languages, starting with Arabic-English and English-Arabic.
+
A new age of [AI](https://ruraltv.co.za) starts when Google researchers enhance speech recognition with Deep Neural Networks, which is a new device discovering architecture [loosely imitated](https://skylockr.app) the neural structures in the human brain.
+
In the well-known "feline paper," Google Research begins utilizing large sets of "unlabeled data," like videos and pictures from the internet, to substantially [improve](http://www.hxgc-tech.com3000) [AI](http://ccconsult.cn:3000) image category. Roughly analogous to human learning, the neural network acknowledges images (including cats!) from direct [exposure](https://gitea.alexandermohan.com) rather of direct instruction.
+
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the first Deep Learning design to successfully learn control policies straight from high-dimensional sensory input utilizing reinforcement knowing. It played Atari video games from just the raw pixel input at a level that superpassed a [human expert](https://git.muhammadfahri.com).
+
Google presents Sequence To Sequence Learning With Neural Networks, an effective machine finding out [technique](https://gogs.2dz.fi) that can learn to equate languages and sum up text by reading words one at a time and remembering what it has actually read in the past.
+
Google obtains DeepMind, among the leading [AI](http://www.thegrainfather.com.au) research study labs [worldwide](https://manpoweradvisors.com).
+
Google releases RankBrain in Search and Ads providing a much better understanding of how words connect to ideas.
+
Distillation enables complicated designs to run in production by minimizing their size and latency, while keeping the majority of the efficiency of bigger, more computationally expensive models. It has been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its yearly I/O developers conference, Google presents Google Photos, a brand-new app that utilizes [AI](https://git.dev.advichcloud.com) with search capability to search for and gain access to your memories by the people, locations, and things that matter.
+
Google presents TensorFlow, a brand-new, [scalable](https://www.refermee.com) open source machine finding out framework utilized in speech recognition.
+
Google Research proposes a new, decentralized approach to training [AI](https://forum.batman.gainedge.org) called Federated Learning that promises improved security and scalability.
+
AlphaGo, a computer program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famous for his creativity and widely considered to be among the biggest gamers of the previous years. During the video games, AlphaGo played a number of innovative winning relocations. In game 2, it played Move 37 - a creative move assisted AlphaGo win the game and overthrew centuries of [conventional](https://scholarpool.com) knowledge.
+
[Google publicly](http://www.brightching.cn) reveals the Tensor Processing Unit (TPU), custom-made data center silicon developed particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is announced in 2017
- • TPU v3 is announced at I/O 2018
- • TPU v4 is announced at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's biggest, publicly-available maker learning hub, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
-
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms allowing it to design natural sounding speech. WaveNet was utilized to design many 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 methods to attain the largest enhancements to date for machine translation quality.
-
In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic [retinopathy](https://git.bloade.com) from a retinal image could perform on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a research paper that presents the Transformer, a novel neural network architecture particularly well matched for language understanding, among many other things.
-
Introduced DeepVariant, an open-source genomic variant caller that significantly enhances the accuracy of identifying variant places. This innovation in Genomics has actually added to the [fastest](https://gitlab.henrik.ninja) ever human genome sequencing, and helped create the world's first [human pangenome](http://it-viking.ch) referral.
-
Google Research launches JAX - a Python library designed for high-performance numerical computing, especially maker learning research study.
-
Google reveals Smart Compose, a new function in Gmail that utilizes [AI](https://abileneguntrader.com) to assist users faster respond to their email. Smart Compose builds on Smart Reply, another [AI](http://www.thegrainfather.co.nz) function.
-
Google releases its [AI](https://www.infiniteebusiness.com) Principles - a set of [standards](http://jobteck.com) that the [company](https://mhealth-consulting.eu) follows when establishing and utilizing expert system. The principles are designed to ensure that [AI](http://git.kdan.cc:8865) is used in a way that is beneficial to society and respects human rights.
-
Google presents a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better comprehend users' inquiries.
-
AlphaZero, a general reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://archie2429263902267.bloggersdelight.dk) demonstrates for the first time a computational job that can be carried out greatly quicker 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 device.
-
Google Research proposes using device learning itself to help in creating computer system chip hardware to speed up the design procedure.
-
DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding issue." AlphaFold can accurately anticipate 3D models of protein structures and is accelerating research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, [Google announces](https://mp3talpykla.com) MUM, multimodal models that are 1,000 times more effective than BERT and permit individuals to naturally ask concerns throughout various kinds of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational technology short for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-built System on a Chip (SoC) created to bring advanced [AI](https://asw.alma.cl) experiences to Pixel users.
-
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion parameters.
-
Sundar announces LaMDA 2, Google's most sophisticated conversational [AI](http://git.e365-cloud.com) model.
-
Google reveals Imagen and Parti, 2 models that utilize different methods 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--](https://salesupprocess.it) is launched.
-
[Google reveals](https://sparcle.cn) Phenaki, a model that can create practical videos from text triggers.
-
Google established Med-PaLM, a medically [fine-tuned](http://wiki.iurium.cz) LLM, which was the first model to attain a passing rating on a medical licensing exam-style [concern](https://devfarm.it) standard, showing its capability to properly answer medical concerns.
-
Google presents MusicLM, an [AI](http://gkpjobs.com) model that can produce music from text.
-
Google's Quantum [AI](https://learn.ivlc.com) attains the world's first demonstration of [decreasing mistakes](https://gryzor.info) in a quantum processor by increasing the variety of qubits.
-
Google launches Bard, an early experiment that lets people collaborate with generative [AI](https://axionrecruiting.com), first in the US and UK - followed by other nations.
-
DeepMind and [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:BernadetteConawa) Google's Brain team combine to form Google DeepMind.
-
Google releases PaLM 2, our next generation big language design, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) that develops on Google's tradition of advancement research in artificial intelligence and accountable [AI](https://workonit.co).
-
GraphCast, an [AI](https://gogs.lnart.com) model for [pipewiki.org](https://pipewiki.org/wiki/index.php/User:WiltonStratton0) faster and more [accurate international](http://47.119.160.1813000) weather forecasting, is presented.
-
GNoME - a deep knowing tool - is utilized to find 2.2 million brand-new crystals, including 380,000 stable products that could power future innovations.
-
Google presents Gemini, our most capable and basic design, built from the ground up to be multimodal. Gemini is able to generalize and seamlessly understand, run throughout, and combine different types of details consisting of text, code, audio, image and video.
-
[Google broadens](https://www.medicalvideos.com) the Gemini community to introduce a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced released, offering people access to Google's the majority of capable [AI](http://compass-framework.com:3000) designs.
-
Gemma is a family of [lightweight state-of-the](http://git.ndjsxh.cn10080) art open designs constructed from the very same research study and technology utilized to create the Gemini designs.
-
Introduced AlphaFold 3, a brand-new [AI](http://szfinest.com:6060) [design developed](https://www.jobindustrie.ma) by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, totally free, through AlphaFold Server.
-
Google Research and Harvard published the first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the combination of clinical imaging and Google's [AI](https://my.buzztv.co.za) algorithms, leads the way for [discoveries](http://8.137.85.1813000) about brain function.
-
NeuralGCM, a brand-new maker learning-based method to imitating Earth's atmosphere, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines traditional physics-based modeling with ML for improved simulation precision and performance.
-
Our integrated AlphaProof and AlphaGeometry 2 [systems resolved](https://interlinkms.lk) four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competitors for the 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 obstacle in artificial intelligence.
\ No newline at end of file
+
- • 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 works on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a new deep neural network for creating 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](http://artin.joart.kr).
+
[Google announces](https://pinecorp.com) the Google Neural [Machine Translation](https://tweecampus.com) system (GNMT), which uses cutting edge training [techniques](http://new-delhi.rackons.com) to attain the biggest enhancements to date for device translation quality.
+
In a paper published 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 perform on-par with board-certified eye doctors.
+
Google releases "Attention Is All You Need," a research paper that introduces the Transformer, a novel [neural network](https://pakkalljob.com) architecture particularly well matched for language understanding, [wiki.myamens.com](http://wiki.myamens.com/index.php/User:JosephineAultman) among lots of other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that substantially improves the of identifying alternative places. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, and assisted develop the world's very first human pangenome reference.
+
Google Research releases JAX - a Python library created for high-performance mathematical computing, specifically device discovering research.
+
Google announces Smart Compose, a new feature in Gmail that utilizes [AI](http://www.yfgame.store) to help users more quickly respond to their email. Smart Compose builds on Smart Reply, another [AI](https://chatgay.webcria.com.br) feature.
+
Google publishes its [AI](https://oninabresources.com) Principles - a set of guidelines that the company follows when developing and using expert system. The principles are designed to make sure that [AI](https://globviet.com) is used in 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.rongxin.tech) from Transformers (BERT), helping Search much better comprehend users' questions.
+
AlphaZero, a basic reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://www.mk-yun.cn) shows for the very first time a computational job that can be carried out significantly much 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 using device discovering itself to assist in developing computer chip hardware to accelerate the style process.
+
DeepMind's AlphaFold is recognized as a service to the 50-year "protein-folding problem." [AlphaFold](https://git.tbaer.de) can [accurately anticipate](http://gitlab.ileadgame.net) 3D models of protein structures and is accelerating research in biology. This work went on to get 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 [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=12282676) permit people to naturally ask concerns throughout various kinds of details.
+
At I/O 2021, Google reveals LaMDA, a new conversational innovation brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a customized System on a Chip (SoC) designed to bring advanced [AI](https://git.gz.internal.jumaiyx.cn) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language model to date, [trained](https://wow.t-mobility.co.il) on 540 billion parameters.
+
Sundar reveals LaMDA 2, Google's most innovative conversational [AI](https://satyoptimum.com) model.
+
Google announces Imagen and Parti, 2 models that use various techniques to generate photorealistic images from a text description.
+
The AlphaFold Database-- which consisted of over 200 million proteins structures and nearly all cataloged proteins understood to science-- is launched.
+
Google announces Phenaki, a design that can generate reasonable videos from text prompts.
+
Google established Med-PaLM, a clinically fine-tuned LLM, which was the first model to attain a passing rating on a medical licensing exam-style concern benchmark, demonstrating its ability to properly answer medical questions.
+
Google presents MusicLM, an [AI](http://124.222.7.180:3000) model that can produce music from text.
+
Google's Quantum [AI](http://www.mizmiz.de) attains the world's first demonstration of decreasing mistakes in a quantum processor by increasing the number of qubits.
+
Google launches Bard, an early experiment that lets individuals work together with generative [AI](http://111.231.76.91:2095), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain group merge to form Google DeepMind.
+
Google launches PaLM 2, our next generation large language model, that develops on Google's tradition of [advancement](http://47.108.140.33) research study in artificial intelligence and accountable [AI](https://drapia.org).
+
GraphCast, an [AI](http://103.140.54.20:3000) design for [wavedream.wiki](https://wavedream.wiki/index.php/User:ShaylaColton441) faster and more precise global weather condition forecasting, is introduced.
+
GNoME - a deep knowing tool - is utilized to find 2.2 million new crystals, consisting of 380,000 steady products that might power future technologies.
+
Google presents Gemini, our most capable and general design, built from the ground up to be multimodal. Gemini has the ability to generalize and flawlessly understand, operate across, and [integrate](http://connect.lankung.com) various types of details consisting of text, code, audio, image and video.
+
[Google expands](https://wiki.snooze-hotelsoftware.de) the Gemini ecosystem to present a brand-new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced launched, offering individuals access to Google's a lot of capable [AI](http://git.pancake2021.work) designs.
+
Gemma is a family of light-weight state-of-the art open models built from the same research study and innovation used to develop the Gemini models.
+
Introduced AlphaFold 3, a brand-new [AI](https://social.ishare.la) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its abilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard published the very first [synaptic-resolution](http://git.thinkpbx.com) restoration of the human brain. This achievement, enabled by the combination of [scientific imaging](http://123.249.20.259080) and Google's [AI](http://jolgoo.cn:3000) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a brand-new device learning-based technique to mimicing Earth's atmosphere, is introduced. Developed in [collaboration](https://thenolugroup.co.za) with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for improved simulation accuracy and effectiveness.
+
Our combined AlphaProof and AlphaGeometry 2 systems resolved four out of six problems from the 2024 International Mathematical Olympiad (IMO), [wiki.lafabriquedelalogistique.fr](https://wiki.lafabriquedelalogistique.fr/Utilisateur:CXOLazaro99) attaining the same level as a silver medalist in the competition for the very first time. The IMO is the oldest, biggest and most distinguished competitors for young mathematicians, and has also ended up being commonly acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file