diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 91e2de7..0ebad40 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins using maker finding out to aid with spell check at scale in Search.
-
Google releases Google Translate using machine learning to immediately equate languages, starting with Arabic-English and English-Arabic.
-
A new era of [AI](http://git.zhongjie51.com) begins when Google researchers enhance speech acknowledgment with Deep Neural 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 utilizing big sets of "unlabeled data," like videos and pictures from the internet, to significantly enhance [AI](https://jobz0.com) image category. Roughly analogous to human knowing, the neural network recognizes images (consisting of cats!) from direct exposure rather of direct direction.
-
Introduced in the research study 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 model to effectively discover [control policies](http://xn--950bz9nf3c8tlxibsy9a.com) straight from high-dimensional sensory input using support knowing. It played Atari games from simply the raw pixel input at a level that superpassed a human specialist.
-
Google presents Sequence To Sequence Learning With Neural Networks, a powerful device [learning](https://open-gitlab.going-link.com) method that can learn to equate languages and summarize text by checking out words one at a time and remembering what it has checked out previously.
-
Google obtains DeepMind, among the leading [AI](http://150.158.93.145:3000) research study laboratories worldwide.
-
Google deploys RankBrain in Search and Ads providing a better understanding of how words associate with concepts.
-
Distillation allows complicated designs to run in production by decreasing their size and latency, while the [majority](https://doop.africa) of the efficiency of bigger, more computationally costly models. It has been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O designers conference, Google introduces Google Photos, a new app that uses [AI](https://forum.petstory.ge) with search ability to look for and gain access to your memories by the people, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source machine discovering framework used in speech recognition.
-
Google Research proposes a brand-new, decentralized method to training [AI](http://globalk-foodiero.com) called Federated Learning that guarantees enhanced security and scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famed for his creativity and extensively thought about to be one of the greatest gamers of the previous years. During the games, AlphaGo played a number of innovative [winning relocations](https://cvmira.com). In game 2, it played Move 37 - a creative move assisted AlphaGo win the game and overthrew centuries of conventional wisdom.
-
[Google openly](http://git.jetplasma-oa.com) reveals the Tensor Processing Unit (TPU), custom information center silicon developed particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
+
Google begins utilizing maker discovering to aid with spell check at scale in Search.
+
Google launches Google Translate using device discovering to immediately equate languages, beginning with [Arabic-English](http://101.33.234.2163000) and English-Arabic.
+
A new age of [AI](https://git.corp.xiangcms.net) begins when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a new device finding out architecture loosely modeled after the neural structures in the human brain.
+
In the famous "feline paper," Google Research begins using large sets of "unlabeled data," like videos and pictures from the internet, to significantly enhance [AI](https://www.alkhazana.net) image classification. Roughly analogous to human knowing, the neural network acknowledges images (consisting of cats!) from exposure instead of direct guideline.
+
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential progress 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.
+
AtariDQN is the very first Deep Learning model to effectively find out control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari video 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 learning strategy that can find out to translate languages and sum up text by checking out words one at a time and remembering what it has actually read in the past.
+
Google obtains DeepMind, among the leading [AI](http://thinkwithbookmap.com) research study labs worldwide.
+
Google releases [RankBrain](https://gitlab.rails365.net) in Search and Ads providing a better understanding of how words [connect](https://ec2-13-237-50-115.ap-southeast-2.compute.amazonaws.com) to principles.
+
Distillation permits [complex](https://securityjobs.africa) models to run in production by decreasing their size and latency, while keeping the majority of the performance of bigger, more computationally costly models. It has actually been utilized to improve Google Search and Smart Summary for [wiki.myamens.com](http://wiki.myamens.com/index.php/User:ShastaBoettcher) Gmail, Chat, Docs, and more.
+
At its annual I/O designers conference, Google introduces Google Photos, a brand-new app that uses [AI](https://givebackabroad.org) with search capability to browse for and gain access to your memories by the individuals, places, and things that matter.
+
Google introduces TensorFlow, a new, [scalable](https://deprezyon.com) open source device finding out framework used in speech recognition.
+
Google Research proposes a new, decentralized approach to training [AI](https://www.sparrowjob.com) called Federated Learning that promises better [security](https://wik.co.kr) and scalability.
+
AlphaGo, a computer [program developed](https://www.uaelaboursupply.ae) by DeepMind, plays the Sedol, winner of 18 world titles, famous for his imagination and widely thought about to be among the best players of the previous decade. During the video games, AlphaGo played numerous innovative winning relocations. In video game 2, it played Move 37 - a creative move assisted AlphaGo win the video game and overthrew centuries of [traditional knowledge](http://www.my.vw.ru).
+
Google openly announces the Tensor Processing Unit (TPU), [custom data](http://47.242.77.180) center silicon built particularly for [artificial intelligence](http://106.15.48.1323880). After that announcement, the TPU continues to gain momentum:
- • TPU v2 is announced in 2017
-
- • TPU v3 is revealed at I/O 2018
+
- • 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 device discovering 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 at DeepMind, WaveNet is a new deep neural network for creating raw audio waveforms enabling it to design 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 advanced training strategies 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 diagnosing diabetic retinopathy from a retinal image could perform on-par with board-certified eye doctors.
-
Google releases "Attention Is All You Need," a research study paper that presents the Transformer, an unique neural network architecture particularly well suited for language understanding, among many other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially enhances the [precision](https://git.sicom.gov.co) of determining variant places. This development in Genomics has contributed to the [fastest](https://4stour.com) ever human genome sequencing, and helped create the world's first human pangenome reference.
-
Google Research releases JAX - a Python library designed for high-performance mathematical computing, especially device learning research study.
-
Google announces Smart Compose, a new feature in Gmail that uses [AI](http://5.34.202.199:3000) to help users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://embargo.energy) function.
-
Google releases its [AI](http://121.36.37.70:15501) Principles - a set of guidelines that the company follows when establishing and utilizing artificial intelligence. The concepts are designed to make sure that [AI](https://jobskhata.com) is utilized in a way that is helpful to society and aspects human rights.
-
Google introduces a brand-new [strategy](https://techport.io) for natural language [processing](https://addismarket.net) pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better comprehend users' queries.
-
AlphaZero, a basic reinforcement discovering algorithm, [masters](http://120.92.38.24410880) chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://cozwo.com) shows for the very first time a computational job that can be executed significantly 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 utilizing device learning itself to assist in developing computer chip hardware to speed up the style procedure.
-
DeepMind's AlphaFold is [acknowledged](http://88.198.122.2553001) as an option to the 50-year "protein-folding problem." AlphaFold can properly predict 3D models of protein structures and is accelerating research in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and permit people to naturally ask questions throughout different types of details.
-
At I/O 2021, Google reveals LaMDA, a new [conversational technology](http://122.51.17.902000) short for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](https://vagyonor.hu) experiences to Pixel users.
-
At I/O 2022, Sundar announces 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://beta.hoofpick.tv) model.
-
Google announces Imagen and Parti, two designs that use various techniques to generate photorealistic images from a text description.
-
The [AlphaFold](https://git.dev-store.ru) Database-- which included over 200 million proteins structures and almost all cataloged proteins understood to science-- is released.
-
[Google announces](http://114.132.245.2038001) Phenaki, a model that can produce realistic videos from text prompts.
-
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the first design to attain a passing rating on a medical licensing exam-style question standard, demonstrating its ability to properly address medical concerns.
-
Google introduces MusicLM, [surgiteams.com](https://surgiteams.com/index.php/User:Darnell83J) an [AI](http://git.moneo.lv) model that can create music from text.
-
Google's Quantum [AI](https://internship.af) attains the world's first presentation of lowering mistakes in a quantum processor by increasing the variety of qubits.
-
Google launches Bard, an early experiment that lets people work together with generative [AI](http://git.cqbitmap.com:8001), [initially](http://boiler.ttoslinux.org8888) 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 model, that develops on Google's tradition of development research in artificial intelligence and accountable [AI](http://peterlevi.com).
-
GraphCast, an [AI](http://tesma.co.kr) design for faster and more precise worldwide weather forecasting, is presented.
-
GNoME - a deep knowing tool - is used to find 2.2 million brand-new crystals, including 380,000 steady products that might power future innovations.
-
Google introduces Gemini, our most capable and general design, built from the ground up to be multimodal. Gemini has the ability to generalize and seamlessly understand, operate across, and combine various types of details consisting of text, code, audio, image and video.
-
Google expands the Gemini community to introduce a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, offering individuals access to Google's a lot of capable [AI](https://allcallpro.com) designs.
-
Gemma is a family of light-weight state-of-the art open models built from the same research study and technology used to produce the Gemini designs.
-
Introduced AlphaFold 3, a brand-new [AI](http://admin.youngsang-tech.com) model established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, [ligands](https://faraapp.com) and more. Scientists can access the bulk of its capabilities, free of charge, through AlphaFold Server.
-
Google Research and Harvard published the first synaptic-resolution restoration of the human brain. This achievement, made possible by the blend of clinical imaging and Google's [AI](https://repo.farce.de) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a new device learning-based approach to imitating Earth's atmosphere, is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), [NeuralGCM integrates](https://git.connectplus.jp) standard physics-based modeling with ML for enhanced simulation precision and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 systems fixed four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competition for the first time. The IMO is the oldest, biggest and most prestigious competition for young mathematicians, and has likewise become commonly acknowledged as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
- • At I/O 2022, Sundar announces the world's biggest, publicly-available device discovering hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:RustyDemers4) which runs on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a new [deep neural](https://cielexpertise.ma) network for generating raw audio waveforms allowing it to design [natural sounding](http://150.158.93.1453000) speech. WaveNet was used to model a number of the voices of the Google Assistant and other Google services.
+
Google reveals the Google Neural Machine Translation system (GNMT), which utilizes cutting edge training strategies to attain the [largest improvements](https://www.eruptz.com) to date for machine translation quality.
+
In a paper published in the Journal of the American Medical Association, Google shows 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](https://earlyyearsjob.com) "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture particularly well suited for language understanding, amongst numerous other things.
+
Introduced DeepVariant, an open-source genomic variant caller that significantly improves the accuracy of determining alternative places. This development in Genomics has actually contributed to the fastest ever human genome sequencing, and assisted develop the world's first human pangenome referral.
+
Google Research releases JAX - a Python library designed for high-performance mathematical computing, specifically machine learning research.
+
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](https://www.viewtubs.com) to help users more rapidly reply to their email. Smart Compose develops on Smart Reply, another [AI](https://git.nazev.eu) feature.
+
Google publishes its [AI](https://doop.africa) Principles - a set of standards that the business follows when establishing and utilizing artificial intelligence. The concepts are created to guarantee that [AI](http://christianpedia.com) is used in a method that is advantageous to society and respects human rights.
+
Google presents a brand-new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' queries.
+
AlphaZero, a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](http://222.121.60.40:3000) demonstrates for the very first time a computational task that can be executed exponentially 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.
+
Google Research proposes utilizing machine discovering itself to help in producing computer system chip hardware to accelerate the style procedure.
+
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding problem." AlphaFold can properly anticipate 3D models of [protein structures](https://www.thehappyservicecompany.com) and is speeding up research 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 powerful than BERT and enable individuals to naturally ask questions across various types of details.
+
At I/O 2021, Google reveals LaMDA, a new conversational innovation short for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-built System on a Chip (SoC) designed to bring sophisticated [AI](https://gitea.mrc-europe.com) 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 announces LaMDA 2, Google's most advanced conversational [AI](http://154.209.4.10:3001) model.
+
[Google reveals](http://150.158.183.7410080) Imagen and Parti, 2 models that use different strategies to generate photorealistic images from a text description.
+
The AlphaFold Database-- which consisted of over 200 million proteins structures and almost all [cataloged](http://hammer.x0.to) proteins known to science-- is launched.
+
Google reveals Phenaki, a model that can create [reasonable videos](https://thenolugroup.co.za) from text triggers.
+
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first design to attain a passing rating on a medical licensing exam-style concern standard, demonstrating its ability to accurately respond to [medical concerns](https://prsrecruit.com).
+
Google presents MusicLM, an [AI](http://120.237.152.218:8888) model that can generate music from text.
+
Google's Quantum [AI](http://8.218.14.83:3000) attains the world's very first presentation of minimizing 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://git.boergmann.it), [initially](https://bartists.info) in the US and UK - followed by other nations.
+
DeepMind and Google's Brain team combine to form Google DeepMind.
+
Google launches PaLM 2, our next generation large language design, that builds on Google's tradition of breakthrough research in artificial intelligence and responsible [AI](https://wiki.idealirc.org).
+
GraphCast, an [AI](https://3rrend.com) design for faster and more precise international weather forecasting, is introduced.
+
GNoME - a deep learning tool - is used to discover 2.2 million brand-new crystals, including 380,000 stable materials that might power future innovations.
+
Google presents Gemini, our most capable and basic design, built from the ground up to be multimodal. Gemini has the ability to generalize and perfectly comprehend, operate throughout, and integrate various types of details including text, code, audio, image and video.
+
Google expands the Gemini environment to present a brand-new generation: [kousokuwiki.org](http://kousokuwiki.org/wiki/%E5%88%A9%E7%94%A8%E8%80%85:UnaPfe0594680933) Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, offering individuals access to Google's many capable [AI](https://app.zamow-kontener.pl) models.
+
Gemma is a family of light-weight state-of-the art open models developed from the same research and technology utilized to develop the Gemini designs.
+
Introduced AlphaFold 3, a brand-new [AI](https://wiki.vifm.info) 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 capabilities, totally free, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2805250) through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution restoration of the [human brain](https://securityjobs.africa). This accomplishment, enabled by the blend of scientific imaging and Google's [AI](https://writerunblocks.com) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new device learning-based approach to replicating Earth's atmosphere, is introduced. [Developed](http://www.homeserver.org.cn3000) in partnership with the [European Centre](https://video.disneyemployees.net) for Medium-Range Weather Report (ECMWF), [gratisafhalen.be](https://gratisafhalen.be/author/qnohiram62/) NeuralGCM integrates standard physics-based modeling with ML for improved simulation accuracy and effectiveness.
+
Our combined AlphaProof and AlphaGeometry 2 systems fixed four out of six problems from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the [competition](http://fujino-mori.com) 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 challenge in artificial intelligence.
\ No newline at end of file