diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index cf2a861..4ea49c5 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins using device discovering to aid with spell checker at scale in Search.
-
Google releases Google Translate using machine learning to instantly translate languages, beginning with Arabic-English and English-Arabic.
-
A brand-new era of [AI](https://okoskalyha.hu) starts when Google researchers improve speech acknowledgment with Deep Neural Networks, which is a brand-new device learning architecture loosely imitated the [neural structures](https://tube.zonaindonesia.com) in the human brain.
-
In the popular "feline paper," Google Research starts using big sets of "unlabeled data," like videos and photos from the web, to substantially improve [AI](http://qiriwe.com) image classification. Roughly analogous to human learning, the neural network recognizes images (consisting of felines!) from direct exposure instead 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 cited more than 40,000 times in the years following, and winning the [NeurIPS](https://precise.co.za) 2023 "Test of Time" Award.
-
AtariDQN is the first Deep Learning model to successfully discover control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari games from just the raw pixel input at a level that superpassed a human expert.
-
Google presents Sequence To Sequence Learning With Neural Networks, a powerful machine learning method that can discover to translate languages and sum up text by reading words one at a time and remembering what it has actually read before.
-
Google obtains DeepMind, one of the leading [AI](http://www.larsaluarna.se) research study laboratories worldwide.
-
Google deploys RankBrain in Search and Ads offering a much better understanding of how words connect to principles.
-
Distillation allows complicated designs to run in production by reducing their size and latency, while keeping most of the performance of bigger, more computationally pricey models. It has been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:BrandiReading8) more.
-
At its annual I/O designers conference, Google presents Google Photos, a new app that uses [AI](http://gitlab.unissoft-grp.com:9880) with search capability to look for and gain access to your memories by the individuals, locations, and things that matter.
-
Google introduces TensorFlow, a brand-new, scalable open source machine finding out structure used in [speech acknowledgment](https://radi8tv.com).
-
Google Research proposes a new, decentralized approach to training [AI](https://precise.co.za) called Federated Learning that guarantees improved security and scalability.
-
AlphaGo, a computer program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famous for his imagination and [extensively](https://172.105.135.218) considered to be one of the greatest players of the previous years. During the games, AlphaGo played numerous innovative winning moves. In video game 2, it played Move 37 - an imaginative relocation assisted AlphaGo win the game and overthrew centuries of traditional wisdom.
-
Google publicly announces the Tensor Processing Unit (TPU), custom information center silicon developed particularly for artificial intelligence. 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 revealed at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's biggest, publicly-available machine learning hub, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
-
Developed by researchers at DeepMind, [WaveNet](https://bibi-kai.com) is a brand-new deep neural network for generating raw audio waveforms enabling it to model natural sounding speech. WaveNet was used to design 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](http://sintec-rs.com.br) edge training strategies to attain the biggest improvements to date for device translation quality.
-
In a paper released in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for [it-viking.ch](http://it-viking.ch/index.php/User:Faye68A072588) diagnosing diabetic retinopathy from a retinal image could with board-certified eye doctors.
-
Google launches "Attention Is All You Need," a term paper that presents the Transformer, a novel neural network architecture especially well fit for [ratemywifey.com](https://ratemywifey.com/author/fawnheather/) language understanding, among numerous other things.
-
Introduced DeepVariant, an open-source genomic variant caller that significantly enhances the accuracy of identifying variant places. This development in [Genomics](https://sun-clinic.co.il) has added to the fastest ever human genome sequencing, and assisted develop the world's very first human pangenome recommendation.
-
Google Research releases JAX - a Python library [developed](https://git.jzmoon.com) for high-performance mathematical computing, particularly [machine discovering](https://jobs.campus-party.org) research study.
-
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](https://www.9iii9.com) to help users quicker reply to their email. Smart Compose builds on Smart Reply, another [AI](https://flexychat.com) feature.
-
Google publishes its [AI](http://gitlab.abovestratus.com) Principles - a set of guidelines that the business follows when [developing](https://alumni.myra.ac.in) and utilizing expert system. The concepts are created to ensure that [AI](https://git.gra.phite.ro) is used in a manner that is beneficial to society and aspects human rights.
-
Google presents a brand-new strategy for [natural language](https://git.kimcblog.com) processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much better understand users' queries.
-
AlphaZero, a general reinforcement discovering algorithm, masters chess, shogi, and Go through self-play.
-
[Google's Quantum](https://voovixtv.com) [AI](http://www.gz-jj.com) demonstrates for the first time a computational task that can be performed significantly quicker on a quantum processor than on the [world's](https://www.imdipet-project.eu) fastest classical computer system-- 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 learning itself to help in creating computer chip hardware to speed up the design procedure.
-
DeepMind's AlphaFold is acknowledged as an option to the 50-year "protein-folding issue." AlphaFold can properly forecast 3D designs of protein structures and is speeding up research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and enable individuals to naturally ask concerns throughout various kinds of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](http://git.zltest.com.tw:3333) 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 criteria.
-
Sundar announces LaMDA 2, Google's most innovative conversational [AI](http://66.112.209.2:3000) design.
-
Google reveals Imagen and Parti, 2 designs 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-- is released.
-
Google announces Phenaki, a design that can [produce](http://gite.limi.ink) sensible videos from text triggers.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the first model to attain a passing rating on a medical licensing exam-style question benchmark, showing its capability to accurately answer medical questions.
-
Google presents MusicLM, an [AI](https://git.jordanbray.com) model that can create music from text.
-
Google's Quantum [AI](http://www.litehome.top) attains the world's first demonstration of reducing mistakes in a [quantum processor](https://git.emalm.com) by increasing the variety of qubits.
-
Google launches Bard, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:GloryGerste) an early experiment that lets people team up with generative [AI](https://git.bwt.com.de), initially in the US and UK - followed by other [nations](https://coverzen.co.zw).
-
[DeepMind](https://gitea.winet.space) and Google's Brain team merge to form Google DeepMind.
-
Google introduces PaLM 2, our next [generation](https://video.xaas.com.vn) large language design, that builds on Google's tradition of advancement research study in artificial intelligence and accountable [AI](https://git.intellect-labs.com).
-
GraphCast, an [AI](https://ysa.sa) model for faster and more precise global weather condition forecasting, is introduced.
-
GNoME - a deep knowing tool - is [utilized](https://www.gabeandlisa.com) to find 2.2 million brand-new crystals, including 380,000 stable products that might power future technologies.
-
Google introduces Gemini, our most capable and general design, constructed from the ground up to be multimodal. Gemini has the ability to generalize and perfectly understand, operate across, and combine different kinds of details including text, code, audio, image and video.
-
[Google expands](https://empregos.acheigrandevix.com.br) the Gemini environment to present a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced released, offering people access to Google's most capable [AI](https://jobs.salaseloffshore.com) models.
-
Gemma is a household of light-weight state-of-the art open models built from the same research study and [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:SylviaG56761819) technology utilized to produce the [Gemini designs](https://zeustrahub.osloop.com).
-
Introduced AlphaFold 3, a new [AI](https://right-fit.co.uk) model developed by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, for totally free, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the blend of scientific imaging and Google's [AI](http://web.joang.com:8088) algorithms, paves the method for discoveries about [brain function](https://vmi456467.contaboserver.net).
-
NeuralGCM, a new device learning-based technique to simulating Earth's environment, is introduced. Developed in collaboration with the European Centre for [ratemywifey.com](https://ratemywifey.com/author/marinaclore/) Medium-Range Weather Report (ECMWF), NeuralGCM integrates conventional physics-based modeling with ML for [improved simulation](https://englishlearning.ketnooi.com) accuracy and [performance](https://community.scriptstribe.com).
-
Our combined AlphaProof and AlphaGeometry 2 systems fixed 4 out of 6 problems from the 2024 [International](http://45.67.56.2143030) Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competitors for the very first time. The IMO is the earliest, largest and most prominent competitors for young mathematicians, and has actually also ended up being extensively acknowledged as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
Google starts using maker learning to aid with spell check at scale in Search.
+
Google releases Google Translate using device discovering to immediately [translate](https://www.jigmedatse.com) languages, starting with Arabic-English and English-Arabic.
+
A brand-new era of [AI](https://carvidoo.com) begins when Google researchers improve speech recognition with Deep Neural Networks, which is a new device discovering architecture loosely imitated the neural structures in the human brain.
+
In the popular "cat paper," Google Research starts using big sets of "unlabeled information," like videos and photos from the web, to substantially enhance [AI](https://travel-friends.net) image classification. Roughly analogous to human knowing, the neural network acknowledges images (including cats!) from direct [exposure](http://git.medtap.cn) rather of direct direction.
+
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic 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 discover control policies straight from high-dimensional sensory input using reinforcement 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, an [effective device](http://47.122.26.543000) [discovering technique](https://infinirealm.com) that can find out to translate languages and [gratisafhalen.be](https://gratisafhalen.be/author/berylmcfall/) summarize 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://ari-sound.aurumai.io) research [laboratories](http://gogs.black-art.cn) on the planet.
+
Google deploys RankBrain in Search and Ads providing a much better understanding of how words connect to ideas.
+
Distillation permits complicated designs to run in production by minimizing their size and latency, while keeping the majority of the [efficiency](http://111.9.47.10510244) of bigger, more computationally pricey models. It has actually been utilized to [enhance Google](https://kronfeldgit.org) Search and [Smart Summary](https://source.coderefinery.org) for Gmail, Chat, Docs, and more.
+
At its annual I/O developers conference, Google introduces Google Photos, a new app that utilizes [AI](https://23.23.66.84) with search capability to look for and gain access to your [memories](https://quickdatescript.com) by the individuals, places, and things that matter.
+
Google introduces TensorFlow, a brand-new, scalable open source machine discovering framework used in speech acknowledgment.
+
Google Research proposes a new, decentralized approach to training [AI](https://gogs.lnart.com) called Federated Learning that promises enhanced 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 extensively considered to be one of the biggest players of the previous years. During the video games, AlphaGo played several inventive winning moves. In video game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the game and overthrew centuries of conventional wisdom.
+
Google openly reveals the Tensor Processing Unit (TPU), custom-made data center silicon built specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](https://ugit.app) in 2017
+
- • TPU v3 is announced at I/O 2018
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, Sundar announces the world's largest, 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 scientists at DeepMind, WaveNet is a brand-new deep neural network for creating raw audio [waveforms](https://zenabifair.com) allowing it to design natural sounding speech. WaveNet was utilized to model numerous of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural [Machine Translation](https://probando.tutvfree.com) system (GNMT), which uses modern training techniques to attain the largest enhancements to date for device translation quality.
+
In a paper published in the [Journal](https://sound.descreated.com) of the American Medical Association, Google demonstrates that a machine-learning driven system for detecting diabetic retinopathy from a retinal image might carry out on-par with board-certified ophthalmologists.
+
Google launches "Attention Is All You Need," a research paper that introduces the Transformer, a novel neural network architecture especially well fit for language understanding, amongst numerous other things.
+
[Introduced](http://xn--ok0b74gbuofpaf7p.com) DeepVariant, an open-source genomic variant caller that considerably improves the precision of recognizing alternative places. This innovation in Genomics has added to the fastest ever human genome sequencing, and assisted produce the world's first human pangenome recommendation.
+
Google Research launches JAX - a Python library developed for high-performance mathematical computing, particularly machine finding out research.
+
Google announces Smart Compose, a new function in Gmail that utilizes [AI](https://warleaks.net) to help users quicker respond to their email. Smart Compose builds on Smart Reply, another [AI](https://social.updum.com) feature.
+
Google publishes its [AI](http://git.estoneinfo.com) Principles - a set of standards that the business follows when establishing and utilizing synthetic intelligence. The principles are created to guarantee that [AI](http://experienciacortazar.com.ar) is used in such a way that is helpful to society and aspects 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' queries.
+
AlphaZero, a general [support discovering](https://git.caraus.tech) algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](http://51.15.222.43) demonstrates for the very first time a computational task that can be executed greatly 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 using [device learning](http://47.108.94.35) itself to assist in creating computer chip hardware to speed up the design procedure.
+
DeepMind's AlphaFold is acknowledged as an option to the 50-year "protein-folding problem." AlphaFold can precisely predict 3D models of protein structures and is accelerating research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
+
At I/O 2021, Google reveals MUM, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:KarlWinston60) multimodal designs that are 1,000 times more effective than BERT and allow individuals to naturally ask concerns throughout different types of details.
+
At I/O 2021, [Google announces](https://www.dadam21.co.kr) LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a custom-built System on a Chip (SoC) designed to bring innovative [AI](https://ukcarers.co.uk) experiences to Pixel users.
+
At I/O 2022, Sundar announces PaLM - or [Pathways Language](https://infinirealm.com) Model - Google's largest language design to date, trained on 540 billion criteria.
+
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](http://begild.top:8418) model.
+
Google announces Imagen and Parti, two [designs](https://iinnsource.com) that utilize different techniques to create 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 model that can generate realistic videos from text triggers.
+
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing rating on a medical licensing exam-style question criteria, demonstrating its capability to precisely address medical concerns.
+
Google [introduces](https://mysazle.com) MusicLM, an [AI](http://123.249.20.25:9080) design that can produce music from text.
+
Google's Quantum [AI](https://git.haowumc.com) attains the world's very first demonstration of reducing mistakes in a quantum processor [larsaluarna.se](http://www.larsaluarna.se/index.php/User:ShelliSae542095) by increasing the of qubits.
+
Google launches Bard, an early experiment that lets individuals work together with generative [AI](https://2workinoz.com.au), initially in the US and UK - followed by other nations.
+
DeepMind and Google's Brain group combine to form Google DeepMind.
+
Google introduces PaLM 2, our next generation big language design, that constructs on Google's tradition of breakthrough research in artificial intelligence and accountable [AI](https://jobsubscribe.com).
+
GraphCast, an [AI](http://wp10476777.server-he.de) design for faster and more accurate global weather forecasting, is presented.
+
GNoME - a [deep learning](http://60.204.229.15120080) tool - is utilized to find 2.2 million new crystals, including 380,000 steady products that might power future innovations.
+
Google presents Gemini, our most capable and basic model, developed from the ground up to be multimodal. Gemini is able to generalize and flawlessly comprehend, run throughout, and combine different types of details including text, code, audio, image and video.
+
[Google expands](https://www.weben.online) the Gemini community to [introduce](http://wrs.spdns.eu) a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced released, providing individuals access to Google's the majority of capable [AI](https://accountingsprout.com) designs.
+
Gemma is a household of lightweight state-of-the art open designs developed from the exact same research study and technology utilized to create the Gemini designs.
+
Introduced AlphaFold 3, a new [AI](http://kuzeydogu.ogo.org.tr) design developed by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its abilities, for totally free, through AlphaFold Server.
+
Google Research and Harvard published the first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and [Google's](https://vcanhire.com) [AI](http://git.guandanmaster.com) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a [brand-new machine](https://www.pickmemo.com) learning-based technique to imitating Earth's atmosphere, [35.237.164.2](https://35.237.164.2/wiki/User:BessieFitzRoy) is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM combines traditional physics-based modeling with ML for enhanced simulation precision and effectiveness.
+
Our integrated AlphaProof and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) AlphaGeometry 2 systems solved 4 out of six problems from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competition for the very first time. The IMO is the oldest, largest and most prestigious competitors for young mathematicians, and has also become commonly recognized as a grand difficulty in [artificial](https://git.healthathome.com.np) intelligence.
\ No newline at end of file