diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 1a77e0f..f30b70b 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts using maker learning to aid with spell checker at scale in Search.
-
Google launches Google [Translate utilizing](http://47.105.180.15030002) machine learning to instantly equate languages, starting with Arabic-English and English-Arabic.
-
A new age of [AI](https://professionpartners.co.uk) starts when Google scientists improve speech recognition with Deep Neural Networks, which is a new device learning architecture loosely imitated the neural structures in the human brain.
-
In the well-known "cat paper," Google Research begins utilizing large sets of "unlabeled information," like videos and images from the internet, to significantly enhance [AI](http://www.asystechnik.com) image category. Roughly comparable to human learning, the neural network acknowledges images (consisting of cats!) from exposure instead of direct guideline.
-
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2[Vec catalyzed](https://www.philthejob.nl) fundamental progress in natural language processing-- going on to be pointed out 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://gogs.xinziying.com) design to successfully discover control policies straight from high-dimensional sensory input using reinforcement learning. It [played Atari](https://nse.ai) video 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 finding out strategy that can find out to translate languages and summarize text by checking out words one at a time and remembering what it has actually checked out before.
-
Google obtains DeepMind, one of the [leading](http://123.207.52.1033000) [AI](http://lesstagiaires.com) research [study labs](https://ivytube.com) in the world.
-
Google releases RankBrain in Search and Ads providing a much better understanding of how words connect to concepts.
-
Distillation allows complicated models to run in production by reducing their size and latency, while keeping the majority of the performance of bigger, more computationally expensive [designs](http://git.pushecommerce.com). It has actually been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its yearly I/O designers conference, Google introduces Google Photos, a new app that utilizes [AI](https://www.wtfbellingham.com) with search ability to look for and gain access to your memories by the people, places, and [pediascape.science](https://pediascape.science/wiki/User:PearlNqi45856054) things that matter.
-
Google introduces TensorFlow, a brand-new, scalable open source device finding out structure utilized in speech recognition.
-
Google Research proposes a brand-new, decentralized method to training [AI](http://git.guandanmaster.com) called Federated Learning that [promises](https://git.bugi.si) better security and scalability.
-
AlphaGo, a computer program established by DeepMind, plays the [famous Lee](https://duniareligi.com) Sedol, winner of 18 world titles, famed for his creativity and [extensively](http://www.xyais.cn) considered to be among the biggest players of the past decade. During the games, AlphaGo played a number of inventive winning relocations. In video game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and upended centuries of conventional wisdom.
-
Google openly announces the Tensor Processing Unit (TPU), custom-made data center silicon constructed specifically for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
Google begins utilizing machine learning to aid with spell check at scale in Search.
+
Google introduces Google Translate using maker learning to instantly equate languages, starting with Arabic-English and English-Arabic.
+
A new era of [AI](https://wikitravel.org) begins when Google researchers enhance speech recognition with Deep Neural Networks, which is a brand-new machine finding out architecture loosely imitated the neural structures in the human brain.
+
In the popular "cat paper," Google Research begins [utilizing](http://lstelecom.co.kr) big sets of "unlabeled information," like videos and photos from the internet, [89u89.com](https://www.89u89.com/author/lyleheimbac/) to significantly enhance [AI](https://ou812chat.com) image [classification](https://complexityzoo.net). Roughly comparable to human learning, the neural network acknowledges images (including felines!) from exposure instead of direct instruction.
+
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 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 design to effectively discover control policies straight from high-dimensional sensory input using reinforcement knowing. It played Atari video games from simply the raw pixel input at a level that superpassed a human specialist.
+
Google provides Sequence To Sequence Learning With Neural Networks, an effective device learning strategy that can find out to equate languages and summarize text by reading words one at a time and remembering what it has actually checked out in the past.
+
Google obtains DeepMind, among the leading [AI](http://121.5.25.246:3000) research study labs worldwide.
+
Google deploys RankBrain in Search and Ads offering a much better understanding of how words relate to principles.
+
Distillation allows complicated designs to run in production by decreasing their size and latency, while keeping most of the efficiency of bigger, more computationally pricey models. It has actually been used to improve Google Search and [pediascape.science](https://pediascape.science/wiki/User:SolP84558377) Smart Summary for Gmail, Chat, Docs, and more.
+
At its annual I/O conference, Google presents Google Photos, a new app that utilizes [AI](http://111.9.47.105:10244) with search capability to look for and gain access to your memories by the individuals, 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](https://memorial-genweb.org) called Federated Learning that promises better security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famous for his imagination and widely thought about to be one of the greatest players of the past years. During the games, AlphaGo played several innovative winning relocations. In video game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and overthrew centuries of traditional wisdom.
+
Google openly announces the [Tensor Processing](http://162.14.117.2343000) Unit (TPU), customized information center silicon [constructed](https://git.jerl.dev) specifically for artificial intelligence. After that announcement, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:TiffinyDalton78) the TPU continues to gain momentum:
- • TPU v2 is announced in 2017
- • TPU v3 is announced at I/O 2018
-
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's largest, publicly-available maker finding out center, powered by TPU v4 pods and based at our information 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 [generating raw](http://gitlab.suntrayoa.com) audio waveforms allowing it to model natural sounding speech. WaveNet was utilized 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 state-of-the-art training techniques to attain the biggest improvements to date for device 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 from a retinal image might carry out on-par with board-certified ophthalmologists.
-
Google launches "Attention Is All You Need," a research study paper that presents the Transformer, a novel neural network architecture especially well fit for language understanding, amongst many other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially enhances the accuracy of recognizing variant places. This innovation in Genomics has contributed to the fastest ever human genome sequencing, and [assisted produce](https://www.jobs.prynext.com) the world's very first human pangenome referral.
-
Google Research launches JAX - a Python library developed for high-performance mathematical computing, specifically device finding out research.
-
Google announces Smart Compose, a brand-new feature in Gmail that utilizes [AI](http://182.92.196.181) to help users more rapidly respond to their email. Smart Compose develops on Smart Reply, another [AI](http://42.194.159.64:9981) feature.
-
Google publishes its [AI](https://han2.kr) Principles - a set of guidelines that the company follows when establishing and utilizing expert system. The principles are created to ensure that [AI](https://iklanbaris.id) is utilized in a manner 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 understand users' questions.
-
AlphaZero, a general support finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](http://git.cyjyyjy.com) shows for the first time a computational task that can be carried out 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 take on a classical gadget.
-
Google Research proposes utilizing machine learning itself to assist in creating computer system chip hardware to accelerate the style procedure.
-
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding issue." AlphaFold can accurately predict 3D designs of protein structures and is [speeding](http://ufidahz.com.cn9015) up research study in biology. This work went on to a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, multimodal models that are 1,000 times more powerful than BERT and allow people to naturally ask questions across different kinds of details.
-
At I/O 2021, Google reveals LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
-
Google announces Tensor, a custom-built System on a Chip (SoC) designed to bring [sophisticated](https://social.ishare.la) [AI](https://gryzor.info) 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 advanced conversational [AI](http://modiyil.com) design.
-
Google announces Imagen and Parti, 2 designs that use various strategies to produce photorealistic images from a text description.
-
The AlphaFold Database-- which included over 200 million proteins structures and almost all cataloged proteins understood to science-- is released.
-
Google announces Phenaki, a design that can produce realistic videos from text prompts.
-
Google developed 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, showing its ability to precisely answer medical concerns.
-
[Google introduces](http://git.zthymaoyi.com) MusicLM, an [AI](https://gogs.dev.dazesoft.cn) model that can create music from text.
-
Google's Quantum [AI](https://pattondemos.com) attains the world's first presentation of decreasing errors in a quantum processor by increasing the number of qubits.
-
Google releases Bard, an early experiment that lets individuals team up with generative [AI](http://wiki.faramirfiction.com), first in the US and UK - followed by other [nations](http://www.sa1235.com).
-
DeepMind and Google's Brain team combine to form Google DeepMind.
-
Google introduces PaLM 2, our next generation big language design, that develops on Google's legacy of advancement research study in [artificial intelligence](https://pinecorp.com) and responsible [AI](https://www.infinistation.com).
-
GraphCast, an [AI](https://bld.lat) design for faster and more accurate international weather condition forecasting, is presented.
-
GNoME - a deep knowing tool - is utilized to discover 2.2 million brand-new crystals, consisting of 380,000 steady products that might power future innovations.
-
Google introduces Gemini, our most capable and general design, developed from the ground up to be multimodal. Gemini is able to generalize and perfectly understand, run throughout, and integrate different types of details including text, code, audio, image and video.
-
Google broadens the Gemini community to introduce a new generation: Gemini 1.5, and [brings Gemini](https://service.aicloud.fit50443) to more items like Gmail and Docs. Gemini Advanced released, providing people access to Google's most capable [AI](https://www.cbtfmytube.com) designs.
-
Gemma is a family of lightweight state-of-the art open models built from the very same research study and innovation utilized to create the Gemini models.
-
Introduced AlphaFold 3, a new [AI](https://hlatube.com) model developed by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its abilities, for totally free, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](https://gitlab.internetguru.io) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a new maker learning-based method to imitating Earth's environment, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines conventional physics-based modeling with ML for enhanced simulation accuracy and performance.
-
Our combined AlphaProof and AlphaGeometry 2 [systems solved](http://git.hnits360.com) 4 out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competition for the first time. The IMO is the earliest, largest and most prominent competition for young mathematicians, and has actually likewise become widely acknowledged as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, Sundar announces the world's biggest, publicly-available device [finding](https://wiki.rolandradio.net) out hub, powered by TPU v4 pods and based at our [data center](https://contractoe.com) in Mayes County, Oklahoma, which operates 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 design natural sounding speech. WaveNet was utilized to model a number of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), [surgiteams.com](https://surgiteams.com/index.php/User:LatanyaZiegler) which utilizes modern training strategies to attain the biggest improvements to date for [wiki.whenparked.com](https://wiki.whenparked.com/User:AlejandrinaVanno) maker translation quality.
+
In a paper released in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for detecting diabetic retinopathy from a [retinal](https://droomjobs.nl) image could perform on-par with board-certified ophthalmologists.
+
Google [launches](https://tenacrebooks.com) "Attention Is All You Need," a research paper that presents the Transformer, a novel neural network architecture particularly well fit for language understanding, amongst numerous other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably enhances the accuracy of identifying alternative areas. This development in Genomics has actually added to the fastest ever human genome sequencing, and assisted develop the [world's](https://git.goolink.org) very first human pangenome recommendation.
+
Google Research launches JAX - a Python library created for high-performance numerical computing, particularly maker learning research.
+
Google reveals Smart Compose, a new feature in Gmail that uses [AI](https://altaqm.nl) to help users more rapidly reply to their email. Smart Compose builds on Smart Reply, another [AI](https://ransomware.design) function.
+
Google publishes its [AI](https://tubevieu.com) Principles - a set of guidelines that the company follows when establishing and using synthetic intelligence. The concepts are developed to guarantee that [AI](http://git.befish.com) is used in such a way that is advantageous to society and aspects human rights.
+
Google presents a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better comprehend users' questions.
+
AlphaZero, a basic reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
+
[Google's Quantum](https://complexityzoo.net) [AI](https://git.komp.family) shows for the very first time a computational task that can be carried out tremendously quicker 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 handle a classical device.
+
Google Research proposes utilizing maker learning itself to help in producing computer chip hardware to accelerate the style process.
+
DeepMind's AlphaFold is recognized as a service to the 50-year "protein-folding problem." AlphaFold can properly forecast 3D designs of protein structures 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 effective than BERT and [permit individuals](https://jobstoapply.com) to naturally ask concerns across various kinds of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a [customized](http://39.101.167.1953003) System on a Chip (SoC) created to bring advanced [AI](https://git.lodis.se) experiences to Pixel users.
+
At I/O 2022, [Sundar reveals](https://git.tea-assets.com) PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion criteria.
+
Sundar announces LaMDA 2, Google's most sophisticated conversational [AI](https://gitlab.iue.fh-kiel.de) design.
+
Google announces Imagen and Parti, 2 designs that utilize various strategies to create photorealistic images from a text description.
+
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
+
Google reveals Phenaki, a design that can generate sensible videos from text triggers.
+
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the very first design to attain a passing rating on a medical licensing exam-style question benchmark, showing its capability to accurately address medical questions.
+
Google presents MusicLM, an [AI](https://apyarx.com) design that can produce music from text.
+
Google's Quantum [AI](http://git.itlym.cn) attains the world's first demonstration 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://btslinkita.com), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team combine to form [Google DeepMind](https://www.netrecruit.al).
+
Google launches PaLM 2, our next generation big language model, that constructs on Google's tradition of development research study in artificial intelligence and responsible [AI](http://www.tomtomtextiles.com).
+
GraphCast, an [AI](http://api.cenhuy.com:3000) 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, consisting of 380,000 steady materials that could power future innovations.
+
Google presents Gemini, our most [capable](http://171.244.15.683000) and basic design, developed from the ground up to be multimodal. Gemini is able to generalize and flawlessly understand, run across, and integrate different types of details consisting of text, code, audio, image and video.
+
Google expands the Gemini ecosystem to present a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, giving people access to Google's a lot of capable [AI](https://git.xaviermaso.com) designs.
+
Gemma is a family of light-weight state-of-the art open designs constructed from the same research study and technology used to create the Gemini models.
+
Introduced AlphaFold 3, a new [AI](https://aquarium.zone) model developed by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its capabilities, totally free, through AlphaFold Server.
+
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This achievement, enabled by the fusion of clinical imaging and Google's [AI](https://wiki.communitydata.science) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a brand-new device learning-based technique to mimicing Earth's environment, is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for [improved simulation](http://copyvance.com) accuracy and effectiveness.
+
Our integrated AlphaProof and AlphaGeometry 2 systems resolved 4 out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competitors for the first time. The IMO is the oldest, largest and most prestigious competition for young mathematicians, and has also become extensively recognized as a grand challenge in artificial intelligence.
\ No newline at end of file