diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index ff96780..8b5fa36 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins utilizing maker [finding](https://git.lain.church) out to aid with spell checker at scale in Search.
-
Google introduces Google Translate utilizing machine discovering to [automatically equate](https://cn.wejob.info) languages, [yewiki.org](https://www.yewiki.org/User:DanielleEve) beginning with Arabic-English and English-Arabic.
-
A new period of [AI](http://39.101.179.106:6440) starts when Google scientists improve speech recognition with Deep Neural Networks, which is a new machine discovering architecture loosely modeled after the neural structures in the human brain.
-
In the well-known "cat paper," Google Research starts using large sets of "unlabeled information," like videos and images from the internet, to significantly improve [AI](http://hitbat.co.kr) image classification. Roughly analogous to human learning, the neural network recognizes images (consisting of cats!) from direct exposure instead of direct guideline.
-
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental progress in natural language processing-- going on to be cited more than 40,000 times in the years following, and [pipewiki.org](https://pipewiki.org/wiki/index.php/User:CarmonStallworth) winning the NeurIPS 2023 "Test of Time" Award.
-
AtariDQN is the very first Deep Learning model to successfully find out control policies straight from high-dimensional sensory input utilizing support learning. It played Atari video games from just the raw pixel input at a level that superpassed a human expert.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective device discovering method that can learn to equate languages and summarize text by reading words one at a time and remembering what it has read before.
-
[Google obtains](https://git.joystreamstats.live) DeepMind, one of the leading [AI](https://medea.medianet.cs.kent.edu) research labs in the world.
-
Google releases RankBrain in Search and Ads offering a better understanding of how words associate with concepts.
-
Distillation permits intricate models to run in production by decreasing their size and latency, while keeping the majority of the efficiency of bigger, more computationally pricey models. It has been used to improve 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://justhired.co.in) with search ability 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 device discovering framework [utilized](https://granthers.com) in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized technique to training [AI](https://git.becks-web.de) called Federated Learning that better security and [wiki.myamens.com](http://wiki.myamens.com/index.php/User:ElisabethLlanas) scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the [famous Lee](https://git.freesoftwareservers.com) Sedol, winner of 18 world titles, famous for [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:Melaine2328) his imagination and commonly considered to be one of the best [players](https://social.oneworldonesai.com) of the past decade. During the video games, AlphaGo played a number of innovative winning moves. In game 2, it played Move 37 - a creative move assisted AlphaGo win the video game and overthrew centuries of standard wisdom.
-
Google openly announces the Tensor Processing Unit (TPU), custom-made information center silicon developed particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
+
Google starts utilizing machine discovering to aid with spell check at scale in Search.
+
Google releases Google Translate utilizing maker discovering to automatically equate languages, beginning with Arabic-English and English-Arabic.
+
A new period of [AI](http://media.nudigi.id) starts when Google scientists improve speech acknowledgment with Deep Neural Networks, which is a new maker finding out architecture loosely modeled after the neural structures in the human brain.
+
In the popular "feline paper," Google Research begins using large sets of "unlabeled data," like videos and photos from the internet, to substantially improve [AI](https://ruraltv.co.za) image classification. Roughly comparable to human learning, the neural network acknowledges images (consisting of felines!) from direct exposure instead of direct direction.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential progress in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the very first Deep Learning model to successfully find out control policies [straight](https://www.k4be.eu) from high-dimensional sensory input using reinforcement knowing. It played Atari games from just the raw pixel input at a level that superpassed a [human professional](https://pompeo.com).
+
Google presents Sequence To Sequence Learning With Neural Networks, a powerful device finding out strategy that can find out to equate languages and sum up text by checking out words one at a time and remembering what it has actually checked out in the past.
+
Google obtains DeepMind, one of the leading [AI](https://git.highp.ing) research labs worldwide.
+
Google deploys RankBrain in Search and Ads supplying a much better understanding of how words associate with concepts.
+
Distillation enables intricate models to run in production by lowering their size and latency, while keeping the majority of the efficiency of bigger, more computationally pricey models. It has actually been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its yearly I/O designers conference, Google presents Google Photos, a brand-new app that utilizes [AI](https://www.garagesale.es) with search ability to look for and gain access to your memories by the people, places, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source device learning framework used in speech acknowledgment.
+
Google Research proposes a new, decentralized approach to training [AI](https://www.valeriarp.com.tr) called Federated Learning that promises enhanced security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famed for his imagination and extensively considered to be one of the greatest players of the past years. During the video games, AlphaGo played numerous innovative winning moves. In video game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the game and upended centuries of standard knowledge.
+
Google openly reveals the Unit (TPU), custom data center silicon developed specifically for artificial intelligence. After that announcement, the TPU continues to gain momentum:
- • TPU v2 is announced in 2017
-
- • TPU v3 is announced at I/O 2018
-
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:BrittnyHarker74) Sundar reveals the world's biggest, publicly-available maker discovering hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
-
Developed by scientists at DeepMind, WaveNet is a new [deep neural](https://somo.global) network for producing raw audio waveforms allowing it to model natural sounding speech. [WaveNet](https://noblessevip.com) was used to model a lot of the voices of the Google Assistant and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), which uses cutting edge training methods to attain the biggest improvements to date for maker translation quality.
-
In a paper released in the Journal of the American Medical Association, Google demonstrates that a [machine-learning driven](https://git.lewd.wtf) system for diagnosing diabetic retinopathy from a retinal image might carry out on-par with board-certified eye doctors.
-
Google launches "Attention Is All You Need," a research study paper that introduces the Transformer, an unique neural network architecture particularly well fit for language understanding, among 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 produce the world's first human pangenome recommendation.
-
Google Research releases JAX - a Python library designed for high-performance numerical computing, specifically device learning research.
-
Google announces Smart Compose, a brand-new feature in Gmail that uses [AI](http://121.40.194.123:3000) to help users faster respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://bgzashtita.es) function.
-
[Google publishes](https://git.lewd.wtf) its [AI](https://git.dsvision.net) Principles - a set of guidelines that the company follows when developing and utilizing expert system. The principles are designed to ensure that [AI](http://98.27.190.224) is utilized in a manner that is advantageous to [society](http://www.grainfather.global) and respects human rights.
-
Google introduces a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better comprehend users' inquiries.
-
AlphaZero, a basic support discovering algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://gitlab.keysmith.bz) demonstrates for the very first time a computational job that can be performed tremendously 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 utilizing maker discovering itself to assist in creating computer system chip hardware to [accelerate](https://www.ycrpg.com) the style process.
-
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding problem." AlphaFold can precisely predict 3D designs of protein structures and is speeding up research study in [biology](https://skillsvault.co.za). This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, multimodal designs that are 1,000 times more powerful than BERT and allow people to naturally ask concerns across different types of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."
-
Google announces Tensor, a custom-made System on a Chip (SoC) designed to bring sophisticated [AI](http://8.140.200.236:3000) 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 criteria.
-
Sundar announces LaMDA 2, Google's most advanced conversational [AI](https://music.worldcubers.com) model.
-
Google announces Imagen and Parti, 2 models that utilize various methods to produce photorealistic images from a text description.
-
The AlphaFold Database-- that included over 200 million [proteins structures](https://www.wikispiv.com) and almost all cataloged proteins known to science-- is released.
-
Google reveals Phenaki, a design that can create realistic videos from text triggers.
-
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style question criteria, showing its [capability](https://gitlab.freedesktop.org) to accurately respond to medical questions.
-
Google presents MusicLM, an [AI](https://gps-hunter.ru) model that can generate music from text.
-
[Google's Quantum](http://175.24.174.1733000) [AI](http://lethbridgegirlsrockcamp.com) attains the world's very first demonstration of reducing errors in a [quantum](http://www.xn--2i4bi0gw9ai2d65w.com) processor by increasing the number of qubits.
-
Google releases Bard, an early experiment that lets people team up with generative [AI](https://incomash.com), initially in the US and UK - followed by other countries.
-
DeepMind and Google's Brain group combine to form Google DeepMind.
-
Google launches PaLM 2, our next generation large language model, that develops on Google's tradition of development research in artificial intelligence and accountable [AI](https://iamzoyah.com).
-
GraphCast, an [AI](http://private.flyautomation.net:82) model for faster and more accurate worldwide weather condition forecasting, is presented.
-
GNoME - a deep knowing tool - is utilized 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 basic design, built from the ground up to be multimodal. Gemini is able to generalize and effortlessly understand, operate across, and combine various kinds of details consisting of text, code, audio, image and video.
-
Google broadens the Gemini ecosystem to introduce a brand-new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, providing people access to Google's a lot of capable [AI](https://git.gilgoldman.com) designs.
-
Gemma is a family of light-weight state-of-the art open designs built from the very same research study and innovation used to produce the Gemini designs.
-
Introduced AlphaFold 3, a brand-new [AI](https://social.ppmandi.com) model established by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. [Scientists](https://jobsthe24.com) can access most of its capabilities, free of charge, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](http://47.119.20.13:8300) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a brand-new machine learning-based method to mimicing Earth's atmosphere, is introduced. Developed in collaboration with the European Centre for [larsaluarna.se](http://www.larsaluarna.se/index.php/User:FaeGrimwade0283) Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines standard physics-based modeling with ML for enhanced simulation precision and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 systems fixed 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/3099171) attaining the very same level as a silver medalist in the [competitors](https://git.saidomar.fr) for the very first time. The IMO is the earliest, largest and most distinguished competition for young mathematicians, and has likewise ended up being widely recognized as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
- • TPU v3 is revealed at I/O 2018
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, [wiki.whenparked.com](https://wiki.whenparked.com/User:ECYDessie34967) Sundar reveals the world's biggest, publicly-available maker learning center, 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 generating raw audio waveforms permitting it to model 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 utilizes advanced training strategies to attain the biggest improvements to date for maker 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 might perform on-par with board-certified eye doctors.
+
Google launches "Attention Is All You Need," a term paper that presents the Transformer, an unique neural network architecture especially well suited for language understanding, amongst lots of other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably improves the accuracy of recognizing variant locations. This innovation in Genomics has added to the fastest ever human genome sequencing, and helped produce the world's first human pangenome recommendation.
+
Google Research releases JAX - a [Python library](https://git.randomstar.io) designed for high-performance numerical computing, specifically device discovering research study.
+
Google announces Smart Compose, a new [feature](https://www.basketballshoecircle.com) in Gmail that utilizes [AI](https://ukcarers.co.uk) to help users more rapidly respond to their email. Smart Compose builds on Smart Reply, another [AI](https://remnantstreet.com) function.
+
Google releases its [AI](https://git.torrents-csv.com) Principles - a set of standards that the company follows when establishing and utilizing expert system. The principles are created to ensure that [AI](https://xn--pm2b0fr21aooo.com) is utilized in a way that is advantageous 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](https://git.numa.jku.at) better understand users' queries.
+
AlphaZero, a basic [support discovering](http://63.32.145.226) algorithm, masters chess, shogi, [surgiteams.com](https://surgiteams.com/index.php/User:LatanyaZiegler) and Go through self-play.
+
[Google's Quantum](http://218.28.28.18617423) [AI](https://bocaiw.in.net) demonstrates for the very first time a computational job that can be performed greatly quicker on a quantum processor than on the world's fastest classical computer-- just 200 seconds on a [quantum](https://cats.wiki) processor compared to the 10,000 years it would take on a [classical gadget](https://rootsofblackessence.com).
+
Google Research proposes using maker learning itself to help in developing computer [chip hardware](https://studiostilesandtotalfitness.com) to speed up the style procedure.
+
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding problem." AlphaFold can properly forecast 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 effective than BERT and permit individuals to naturally ask questions throughout different types of details.
+
At I/O 2021, Google announces LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
+
Google announces Tensor, a customized System on a Chip (SoC) created to bring innovative [AI](http://120.79.218.168:3000) experiences to Pixel users.
+
At I/O 2022, [Sundar announces](https://convia.gt) PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion [criteria](https://hatchingjobs.com).
+
[Sundar reveals](https://ivebo.co.uk) LaMDA 2, Google's most [sophisticated conversational](http://www.stes.tyc.edu.tw) [AI](https://community.cathome.pet) model.
+
Google announces Imagen and Parti, two designs that use various methods 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 launched.
+
Google announces Phenaki, a design that can produce sensible videos from [text prompts](https://jobs.ezelogs.com).
+
Google developed Med-PaLM, a clinically [fine-tuned](https://www.sportpassionhub.com) LLM, which was the first design to attain a passing score on a medical licensing exam-style concern standard, showing its ability to precisely address medical questions.
+
Google introduces MusicLM, an [AI](https://aravis.dev) design that can create music from text.
+
Google's Quantum [AI](http://tools.refinecolor.com) attains the world's very first demonstration of reducing mistakes in a quantum processor [wavedream.wiki](https://wavedream.wiki/index.php/User:KathyWja531444) by [increasing](https://groupeudson.com) the variety of qubits.
+
Google releases Bard, an early experiment that lets individuals collaborate with generative [AI](https://git.berezowski.de), initially 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 model, that constructs on Google's tradition of [breakthrough](http://www.hakyoun.co.kr) research study in artificial intelligence and responsible [AI](https://www.mpowerplacement.com).
+
GraphCast, an [AI](http://szfinest.com:6060) design for faster and more precise international weather condition forecasting, is presented.
+
GNoME - a deep knowing tool - is used to discover 2.2 million new crystals, consisting of 380,000 stable products that could power future innovations.
+
Google presents Gemini, our most capable and basic model, [wavedream.wiki](https://wavedream.wiki/index.php/User:Margarita42B) built from the ground up to be multimodal. Gemini has the ability to generalize and effortlessly comprehend, operate across, and combine different types of details including text, code, audio, image and video.
+
Google broadens the Gemini ecosystem to present a brand-new generation: Gemini 1.5, and [oeclub.org](https://oeclub.org/index.php/User:VickeyN17973675) brings Gemini to more products like Gmail and Docs. Gemini Advanced released, offering individuals access to Google's a lot of [capable](http://114.55.169.153000) [AI](http://193.200.130.186:3000) models.
+
Gemma is a household of light-weight state-of-the art open models constructed from the very same research study and technology utilized to create the Gemini designs.
+
Introduced AlphaFold 3, a brand-new [AI](https://axionrecruiting.com) 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, for totally free, through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This achievement, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) made possible by the fusion of scientific imaging and [Google's](https://gitcq.cyberinner.com) [AI](http://120.77.67.223:83) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new maker learning-based method to mimicing Earth's atmosphere, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), [NeuralGCM integrates](http://221.239.90.673000) conventional physics-based modeling with ML for enhanced simulation precision and [performance](https://psuconnect.in).
+
Our integrated AlphaProof and AlphaGeometry 2 systems solved 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), [attaining](https://www.sintramovextrema.com.br) the very same level as a silver medalist in the [competition](http://139.9.50.1633000) for the very first time. The IMO is the oldest, biggest and most prestigious competition for young mathematicians, [wiki.myamens.com](http://wiki.myamens.com/index.php/User:ShavonneKleeman) and has actually likewise ended up being widely acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file