diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 242ceeb..6ba2465 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins utilizing machine finding out to aid with spell checker at scale in Search.
-
Google launches Google Translate using machine learning to immediately equate languages, beginning with Arabic-English and English-Arabic.
-
A new age of [AI](https://harborhousejeju.kr) begins when Google scientists enhance speech recognition with Deep Neural Networks, which is a new [machine discovering](http://121.37.208.1923000) architecture loosely imitated the neural structures in the human brain.
-
In the well-known "cat paper," Google Research begins [utilizing](https://atfal.tv) large sets of "unlabeled data," like videos and images from the internet, to substantially improve [AI](http://152.136.126.252:3000) image classification. Roughly analogous to human learning, the neural network acknowledges images (including felines!) from direct exposure instead of direct instruction.
-
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential development 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 very first Deep Learning design to effectively learn control policies straight from high-dimensional sensory input utilizing support knowing. It [played Atari](http://139.199.191.19715000) games from simply the raw pixel input at a level that superpassed a human expert.
-
Google presents Sequence To Sequence Learning With Neural Networks, an effective machine discovering strategy that can discover to equate languages and summarize text by reading words one at a time and remembering what it has [checked](https://coopervigrj.com.br) out before.
-
Google obtains DeepMind, one of the leading [AI](https://writerunblocks.com) research study laboratories in the world.
-
Google releases RankBrain in Search and Ads providing a much better understanding of how words associate with principles.
-
Distillation permits complicated models to run in production by minimizing their size and latency, while keeping the majority of the performance of larger, more computationally pricey designs. It has been used to improve Google Search and for Gmail, Chat, Docs, and more.
-
At its yearly I/O designers conference, Google introduces Google Photos, a new app that utilizes [AI](http://wiki.pokemonspeedruns.com) with search ability to browse for [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:WCTSteve75017) and gain access to your memories by the individuals, locations, and things that matter.
-
Google presents TensorFlow, a new, scalable open source machine [discovering](https://git.jackbondpreston.me) structure used in speech acknowledgment.
-
Google Research proposes a new, [decentralized method](http://www.buy-aeds.com) to training [AI](https://stnav.com) called Federated Learning that assures 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 thought about to be among the biggest players of the past years. During the games, AlphaGo played numerous inventive winning relocations. In video game 2, it played Move 37 - a creative move [helped AlphaGo](https://gitlab-heg.sh1.hidora.com) win the video game and upended centuries of standard knowledge.
-
Google publicly reveals the Tensor Processing Unit (TPU), custom-made data center silicon built specifically for [artificial intelligence](http://gitlab.ileadgame.net). After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is revealed in 2017
-
- • TPU v3 is announced at I/O 2018
-
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's largest, publicly-available device [finding](https://cvbankye.com) out hub, powered by TPU v4 pods and based at our information 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 design a lot of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which uses cutting edge training strategies to attain the largest enhancements to date for machine translation quality.
-
In a paper published in the [Journal](http://125.ps-lessons.ru) of the American Medical Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could [perform on-par](https://firemuzik.com) with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a term paper that presents the Transformer, a novel neural network architecture especially well matched for language understanding, amongst many other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that considerably improves the precision of recognizing variant locations. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, and assisted produce the world's very first human pangenome referral.
-
Google Research releases JAX - a Python library created for high-performance mathematical computing, especially [maker learning](https://workbook.ai) research.
-
Google reveals Smart Compose, a brand-new function in Gmail that [utilizes](http://124.222.85.1393000) [AI](https://streaming.expedientevirtual.com) to help users quicker reply to their email. Smart Compose develops on Smart Reply, another [AI](http://wiki.faramirfiction.com) feature.
-
Google releases its [AI](http://66.85.76.122:3000) Principles - a set of guidelines that the business follows when [establishing](https://git.satori.love) and using expert system. The concepts are designed to guarantee that [AI](http://104.248.138.208) is utilized in a manner that is advantageous to society and aspects human rights.
-
Google introduces a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much better understand users' questions.
-
AlphaZero, a basic support learning algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://notewave.online) demonstrates for the very first time a computational task that can be carried out greatly quicker 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 take on a classical device.
-
Google Research [proposes](https://sc.e-path.cn) using device discovering itself to help in producing computer system chip hardware to speed up the design process.
-
DeepMind's AlphaFold is recognized as a service to the 50-year "protein-folding issue." AlphaFold can precisely anticipate 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 reveals MUM, multimodal designs that are 1,000 times more effective than BERT and enable people to naturally ask questions throughout different kinds of details.
-
At I/O 2021, Google announces LaMDA, a new conversational innovation brief for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-made System on a Chip (SoC) designed to bring innovative [AI](https://www.outletrelogios.com.br) 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 specifications.
-
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](http://207.180.250.114:3000) design.
-
Google announces Imagen and Parti, two models that utilize different methods to generate 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 released.
-
Google reveals Phenaki, a model that can create reasonable videos from text triggers.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the very first model to attain a passing rating on a medical licensing exam-style concern benchmark, demonstrating its capability to accurately address medical concerns.
-
Google introduces MusicLM, an [AI](https://open-gitlab.going-link.com) model that can generate music from text.
-
Google's Quantum [AI](https://autogenie.co.uk) attains the world's very first presentation of lowering mistakes in a quantum processor by [increasing](https://git.pleasantprogrammer.com) the number of qubits.
-
Google releases Bard, an early experiment that lets individuals team up with generative [AI](https://pojelaime.net), first in the US and UK - followed by other countries.
-
DeepMind and Google's Brain team combine to form Google DeepMind.
-
Google releases PaLM 2, our next generation big language design, that builds on Google's tradition of development research in artificial intelligence and accountable [AI](https://www.isinbizden.net).
-
GraphCast, an [AI](http://1.12.255.88) model for faster and more precise international weather condition forecasting, is introduced.
-
GNoME - a deep [learning tool](https://code.dev.beejee.org) - is used to discover 2.2 million new crystals, consisting of 380,000 stable materials that could power future technologies.
-
Google presents Gemini, our most capable and general design, constructed from the ground up to be multimodal. Gemini is able to generalize and flawlessly understand, run across, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:ClaraKimbrell) and combine different types of details including text, code, audio, image and video.
-
Google broadens the Gemini ecosystem to present a new generation: Gemini 1.5, and [brings Gemini](http://47.92.218.2153000) to more [products](https://inamoro.com.br) like Gmail and Docs. Gemini Advanced launched, providing individuals access to Google's many capable [AI](https://firstamendment.tv) designs.
-
Gemma is a household of lightweight state-of-the art open models developed from the very same research and [wiki.whenparked.com](https://wiki.whenparked.com/User:JuliTrumper) technology used to produce the Gemini models.
-
Introduced AlphaFold 3, a new [AI](http://git.risi.fun) design developed 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, for [totally](http://119.3.29.1773000) free, through AlphaFold Server.
-
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This accomplishment, enabled by the combination of scientific imaging and Google's [AI](https://www.munianiagencyltd.co.ke) algorithms, leads the way for discoveries about [brain function](http://43.139.10.643000).
-
NeuralGCM, a brand-new machine learning-based method to replicating Earth's atmosphere, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines standard physics-based modeling with ML for improved simulation accuracy and efficiency.
-
Our combined AlphaProof and AlphaGeometry 2 systems resolved four out of six problems from the 2024 International Mathematical Olympiad (IMO), [attaining](https://owow.chat) the very same level as a silver medalist in the competition for the first time. The IMO is the earliest, biggest and most prestigious competition for young mathematicians, and has likewise ended up being commonly recognized as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
Google starts utilizing device finding out to aid with spell checker at scale in Search.
+
Google releases [Google Translate](http://39.105.128.46) utilizing maker finding out to immediately [translate](https://gitea.robertops.com) languages, beginning with Arabic-English and English-Arabic.
+
A brand-new period of [AI](http://www.iilii.co.kr) starts when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a new machine finding out [architecture loosely](http://209.141.61.263000) designed after the neural structures in the human brain.
+
In the famous "cat paper," Google Research begins utilizing big sets of "unlabeled data," like videos and images from the internet, to considerably improve [AI](http://otyjob.com) image category. Roughly comparable to human learning, the neural network acknowledges images (consisting of felines!) from exposure instead of direct instruction.
+
[Introduced](https://tiktack.socialkhaleel.com) in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential progress in natural [language processing--](https://git.yinas.cn) 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 very first Deep Learning design to successfully learn control policies straight from high-dimensional sensory input using reinforcement knowing. It [played Atari](http://1cameroon.com) video games from just the raw pixel input at a level that superpassed a human professional.
+
Google provides Sequence To Sequence Learning With Neural Networks, an effective machine learning technique that can find out to translate languages and summarize text by reading words one at a time and remembering what it has read in the past.
+
Google obtains DeepMind, among the leading [AI](https://cagit.cacode.net) research study laboratories worldwide.
+
Google deploys RankBrain in Search and Ads supplying a better [understanding](http://gitlab.y-droid.com) of how words relate to concepts.
+
Distillation permits complicated models to run in production by minimizing their size and latency, while keeping the majority of the efficiency of larger, more computationally expensive models. It has actually been used to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its yearly I/O developers conference, Google introduces Google Photos, a brand-new app that uses [AI](https://www.youtoonet.com) with search ability to browse for and gain access to your memories by the people, places, and things that matter.
+
Google presents TensorFlow, a new, scalable open source maker finding out structure utilized in speech recognition.
+
Google Research proposes a new, decentralized technique to training [AI](https://git.j4nis05.ch) called Federated Learning that assures better security and scalability.
+
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his creativity and widely considered to be among the best [players](https://manilall.com) of the previous years. During the games, AlphaGo played several inventive winning moves. In video game 2, it played Move 37 - an [imaginative](https://nytia.org) move [helped AlphaGo](http://120.24.186.633000) win the game and [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:RamonitaStrout3) overthrew centuries of conventional knowledge.
+
Google publicly reveals the Tensor Processing Unit (TPU), custom-made data center silicon developed specifically for [artificial intelligence](http://175.27.215.923000). 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 reveals the world's largest, publicly-available machine learning hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for creating raw audio waveforms allowing 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 reveals the Google Neural Machine Translation system (GNMT), which utilizes state-of-the-art training strategies to attain the largest improvements 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 detecting diabetic retinopathy from a retinal image could carry out on-par with board-certified eye doctors.
+
Google launches "Attention Is All You Need," a research study paper that presents the Transformer, an unique neural network architecture particularly well matched for language understanding, amongst lots of other things.
+
Introduced DeepVariant, an open-source genomic [alternative](https://truthbook.social) caller that significantly improves the precision of identifying variant places. This innovation in Genomics has contributed to the fastest ever human genome sequencing, and assisted create the world's first human pangenome reference.
+
Google Research launches JAX - a Python library created for high-performance mathematical computing, especially maker learning research.
+
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](https://idemnaposao.rs) to help users faster respond to their email. [Smart Compose](https://forum.tinycircuits.com) builds on Smart Reply, another [AI](https://ttemployment.com) feature.
+
Google releases its [AI](http://gitlab.marcosurrey.de) Principles - a set of guidelines that the company follows when establishing and using synthetic intelligence. The concepts are created to ensure that [AI](https://xhandler.com) is utilized in a manner that is useful to society and respects human rights.
+
Google introduces a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), [mediawiki.hcah.in](https://mediawiki.hcah.in/index.php?title=User:AlphonseSmallwoo) assisting Search better understand users' queries.
+
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://goodprice-tv.com) demonstrates for the very first time a computational job that can be executed exponentially quicker on a quantum processor than on the classical computer-- simply 200 seconds on a [quantum](https://www.xtrareal.tv) processor compared to the 10,000 years it would handle a classical gadget.
+
Google Research proposes using device discovering itself to help in creating computer chip hardware to accelerate the style procedure.
+
DeepMind's AlphaFold is [recognized](http://www.iilii.co.kr) as an option to the 50-year "protein-folding problem." AlphaFold can precisely anticipate 3D designs 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 powerful than BERT and permit individuals to naturally ask questions across various kinds of details.
+
At I/O 2021, Google announces LaMDA, a new conversational innovation short for "Language Model for Dialogue Applications."
+
Google [announces](https://rassi.tv) Tensor, a customized System on a Chip (SoC) created to bring innovative [AI](https://paknoukri.com) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways [Language Model](https://likemochi.com) - Google's largest language design to date, trained on 540 billion specifications.
+
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://www.imf1fan.com) design.
+
Google announces Imagen and Parti, 2 designs that utilize various techniques to create photorealistic images from a text [description](https://git.spitkov.hu).
+
The AlphaFold Database-- that included over 200 million proteins structures and almost all cataloged proteins understood to science-- is launched.
+
Google announces Phenaki, a design that can produce practical videos from text triggers.
+
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style concern benchmark, demonstrating its ability to precisely respond to medical concerns.
+
Google presents MusicLM, an [AI](https://gogs.koljastrohm-games.com) design that can produce music from text.
+
Google's Quantum [AI](http://n-f-l.jp) attains the world's very first demonstration of minimizing mistakes in a quantum processor by increasing the number of qubits.
+
Google launches Bard, an early experiment that lets individuals collaborate with generative [AI](https://git.arcbjorn.com), first in the US and UK - followed by other nations.
+
DeepMind and Google's Brain group merge to form Google DeepMind.
+
[Google releases](http://111.47.11.703000) PaLM 2, our next generation large language design, that constructs on Google's legacy of development research study in artificial intelligence and responsible [AI](https://wrqbt.com).
+
GraphCast, an [AI](http://85.214.112.116:7000) design for faster and more accurate international weather condition forecasting, is introduced.
+
GNoME - a deep learning tool - is used to discover 2.2 million brand-new crystals, including 380,000 [stable materials](https://saek-kerkiras.edu.gr) that could power future innovations.
+
Google presents Gemini, our most capable and general model, built from the ground up to be multimodal. Gemini is able to generalize and flawlessly understand, operate throughout, and integrate different kinds of details including text, [wavedream.wiki](https://wavedream.wiki/index.php/User:Fausto73W963) code, audio, image and video.
+
Google expands the Gemini community to introduce a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, giving people access to Google's a lot of capable [AI](https://aravis.dev) designs.
+
Gemma is a family of lightweight state-of-the art open models developed from the very same research study and innovation used to create the Gemini designs.
+
Introduced AlphaFold 3, a new [AI](https://www.seekbetter.careers) design 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 capabilities, totally free, through [AlphaFold Server](https://git.es-ukrtb.ru).
+
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](http://162.55.45.54:3000) algorithms, paves the way for discoveries about brain function.
+
NeuralGCM, a new [machine learning-based](http://124.129.32.663000) technique to replicating Earth's environment, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines standard physics-based modeling with ML for improved simulation accuracy and efficiency.
+
Our combined AlphaProof and [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:AngleaKershaw76) AlphaGeometry 2 systems resolved 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 oldest, biggest and most prominent competition for young mathematicians, and has also become extensively recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file