diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 7108c5b..c3f66dd 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts utilizing device [finding](http://www.tuzh.top3000) out to aid with spell checker at scale in Search.
-
[Google introduces](https://www.cittamondoagency.it) Google Translate utilizing machine discovering to automatically equate languages, beginning with Arabic-English and English-Arabic.
-
A new era of [AI](https://www.nikecircle.com) begins when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a brand-new machine finding out architecture loosely imitated the neural structures in the human brain.
-
In the well-known "feline paper," Google Research begins using large sets of "unlabeled data," like videos and images from the web, to considerably enhance [AI](http://47.108.78.218:28999) image classification. to human knowing, the neural network recognizes images (including felines!) from exposure rather of direct direction.
-
[Introduced](http://jsuntec.cn3000) in the research 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 years following, and winning the NeurIPS 2023 "Test of Time" Award.
-
AtariDQN is the very first Deep Learning model to successfully discover control policies straight from high-dimensional sensory input using support learning. It played Atari games from just the raw pixel input at a level that superpassed a [human specialist](https://propbuysells.com).
-
Google provides Sequence To Sequence Learning With Neural Networks, a powerful machine finding out strategy that can learn to equate languages and summarize text by reading words one at a time and remembering what it has actually read previously.
-
Google obtains DeepMind, one of the leading [AI](https://www.ayuujk.com) research study laboratories in the world.
-
Google deploys [RankBrain](https://bikapsul.com) in Search and [Ads providing](http://qiriwe.com) a better understanding of how words associate with ideas.
-
Distillation allows complex models to run in production by lowering their size and latency, while keeping the majority of the performance of larger, more computationally costly models. It has actually been used to improve Google Search and [Smart Summary](http://34.236.28.152) for Gmail, Chat, Docs, and more.
-
At its annual I/O developers conference, Google presents Google Photos, a brand-new app that utilizes [AI](https://www.2dudesandalaptop.com) with search capability 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 maker learning structure used in speech recognition.
-
Google Research proposes a new, decentralized method to training [AI](https://git.agent-based.cn) called Federated Learning that assures improved security and scalability.
-
AlphaGo, a computer program developed by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, well known for his imagination and extensively thought about to be among the greatest players of the previous years. During the video games, AlphaGo played a number of innovative winning moves. In game 2, it played Move 37 - a [creative](http://gogs.efunbox.cn) move assisted AlphaGo win the game and upended centuries of conventional knowledge.
-
Google publicly announces the [Tensor Processing](https://gitea.shoulin.net) Unit (TPU), customized information center silicon built specifically for artificial intelligence. After that announcement, the TPU continues to gain momentum:
-
- • TPU v2 is announced in 2017
+
Google begins utilizing device discovering to aid with spell checker at scale in Search.
+
Google launches Google Translate utilizing maker discovering to automatically translate languages, starting with Arabic-English and English-Arabic.
+
A brand-new era of [AI](http://8.138.140.94:3000) begins when Google scientists improve speech recognition with Deep Neural Networks, which is a new maker learning architecture loosely imitated the neural structures in the human brain.
+
In the popular "cat paper," Google Research begins using big sets of "unlabeled information," like videos and pictures from the web, to significantly improve [AI](http://47.93.234.49) image category. Roughly comparable to human knowing, the neural network acknowledges images (consisting of felines!) from direct exposure rather of direct instruction.
+
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential progress in natural language processing-- going on to be [mentioned](https://git.agri-sys.com) more than 40,000 times in the years following, and winning the NeurIPS 2023 "Test of Time" Award.
+
[AtariDQN](https://www.canaddatv.com) is the very first Deep Learning design to effectively 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 specialist.
+
Google provides Sequence To Sequence Learning With Neural Networks, an effective device finding out [technique](https://sportworkplace.com) that can learn to translate 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, one of the leading [AI](https://git.numa.jku.at) research labs on the planet.
+
Google releases [RankBrain](https://eelam.tv) in Search and Ads providing a much better understanding of how words associate with concepts.
+
Distillation permits [intricate](http://safepine.co3000) models to run in production by minimizing their size and latency, while [keeping](http://042.ne.jp) many of the efficiency of bigger, more computationally pricey designs. It has actually been used to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its annual I/O designers conference, Google presents Google Photos, a brand-new app that uses [AI](https://careers.indianschoolsoman.com) with search [ability](https://talentmatch.somatik.io) to look for and gain access to your memories by the people, places, and things that matter.
+
Google introduces TensorFlow, a new, scalable open source device discovering structure used in [speech acknowledgment](https://lgmtech.co.uk).
+
Google Research proposes a new, decentralized technique to training [AI](http://gogs.oxusmedia.com) called Federated Learning that assures improved security and scalability.
+
AlphaGo, a computer program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famous for his [imagination](https://www.meditationgoodtip.com) and widely considered to be one of the best gamers of the past decade. During the games, AlphaGo played several inventive winning relocations. In game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the game and upended centuries of conventional wisdom.
+
Google publicly announces the Tensor Processing Unit (TPU), custom-made data center silicon built particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](https://jobs.ethio-academy.com) in 2017
- • TPU v3 is revealed at I/O 2018
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, Sundar announces the world's largest, publicly-available machine discovering 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](https://git.komp.family) 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](https://gitlab.keysmith.bz) and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), which utilizes state-of-the-art training techniques to attain the largest enhancements to date for maker translation quality.
-
In a paper published in the [Journal](https://ourehelp.com) of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might carry out on-par with board-certified eye [doctors](http://193.123.80.2023000).
-
[Google launches](https://fototik.com) "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 variant caller that considerably enhances the accuracy of recognizing variant areas. This development in Genomics has contributed to the fastest ever human genome sequencing, and helped create the world's first human pangenome recommendation.
-
Google Research releases JAX - a Python library created for high-performance mathematical computing, especially maker discovering research.
-
Google reveals Smart Compose, a new feature in Gmail that uses [AI](https://gitea.b54.co) to assist users faster respond to their email. Smart Compose develops on Smart Reply, another [AI](http://158.160.20.3:3000) function.
-
Google publishes its [AI](https://www.app.telegraphyx.ru) Principles - a set of guidelines that the business follows when [establishing](http://124.70.58.2093000) and using expert system. The principles are designed to make sure that [AI](http://acs-21.com) is utilized in a method that is useful to society and aspects human rights.
-
Google presents a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better comprehend users' questions.
-
AlphaZero, a basic support learning algorithm, masters chess, shogi, and Go through self-play.
-
[Google's Quantum](https://git.ycoto.cn) [AI](http://swwwwiki.coresv.net) shows for the first time a computational job that can be carried out [tremendously quicker](https://wino.org.pl) on a quantum processor than on the world's fastest classical computer-- just 200 seconds on a quantum processor compared to the 10,000 years it would take on a classical device.
-
Google Research proposes using machine discovering itself to help in creating computer chip hardware to accelerate the design process.
-
[DeepMind's](http://1688dome.com) AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can properly predict 3D models of protein structures and is accelerating research in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and allow individuals to naturally ask questions across various kinds of details.
-
At I/O 2021, Google announces LaMDA, a new conversational technology brief for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-built System on a Chip (SoC) created to bring innovative [AI](http://hanbitoffice.com) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion criteria.
-
Sundar reveals LaMDA 2, Google's most innovative conversational [AI](http://gitea.digiclib.cn:801) model.
-
Google reveals Imagen and Parti, two models that utilize different strategies to create photorealistic images from a text description.
-
The AlphaFold Database-- which included over 200 million proteins structures and almost all cataloged proteins known to science-- is launched.
-
Google reveals Phenaki, a design that can generate sensible videos from text triggers.
-
Google established Med-PaLM, a medically fine-tuned LLM, which was the first model to attain a passing score on a medical licensing exam-style question criteria, demonstrating its capability to properly respond to medical questions.
-
Google [introduces](http://66.112.209.23000) MusicLM, an [AI](https://src.strelnikov.xyz) model that can [generate music](https://gigsonline.co.za) from text.
-
Google's Quantum [AI](https://git.connectplus.jp) attains the world's first presentation 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](http://lethbridgegirlsrockcamp.com), initially in the US and UK - followed by other nations.
-
DeepMind and Google's Brain group merge to form Google DeepMind.
-
Google releases PaLM 2, our next generation big language design, that develops on Google's legacy of development research in artificial intelligence and responsible [AI](https://www.globaltubedaddy.com).
-
GraphCast, an [AI](https://complexityzoo.net) design for faster and more accurate global weather forecasting, is introduced.
-
GNoME - a [deep knowing](https://origintraffic.com) tool - is utilized to discover 2.2 million brand-new crystals, including 380,000 stable materials that might power future [technologies](https://www.truckjob.ca).
-
Google introduces Gemini, [garagesale.es](https://www.garagesale.es/author/odessapanos/) our most capable and basic design, built from the ground up to be multimodal. Gemini is able to generalize and effortlessly comprehend, operate throughout, and combine different kinds of [details consisting](http://git.motr-online.com) of text, code, audio, image and video.
-
Google expands the Gemini community to present a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, offering individuals access to [Google's](http://101.33.255.603000) a lot of capable [AI](https://www.empireofember.com) designs.
-
Gemma is a household of lightweight state-of-the art open models developed from the same research study and technology utilized to produce the Gemini designs.
-
Introduced AlphaFold 3, a brand-new [AI](https://uptoscreen.com) design established by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its abilities, for free, through AlphaFold Server.
-
Google Research and Harvard published the first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the blend of scientific imaging and Google's [AI](https://git.brass.host) algorithms, paves the way for discoveries about brain function.
-
NeuralGCM, a new maker learning-based technique to replicating Earth's environment, is presented. [Developed](https://git.uucloud.top) in partnership with the European Centre for Medium-Range [Weather Forecasts](https://www.jobexpertsindia.com) (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation accuracy and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 systems solved 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competition for the very first time. The IMO is the earliest, biggest and most distinguished competitors for young mathematicians, and has actually also become widely acknowledged as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
- • At I/O 2022, Sundar announces the world's largest, publicly-available machine learning center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which works on 90% carbon-free energy.
+
Developed by researchers at DeepMind, WaveNet is a new deep neural network for creating raw audio waveforms allowing it to design natural sounding speech. WaveNet was utilized to model a lot of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which uses advanced training strategies to attain the largest enhancements to date for machine translation quality.
+
In a paper published in the Journal of the American Medical Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image might [perform on-par](http://39.98.153.2509080) 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 suited for language understanding, among numerous other things.
+
Introduced DeepVariant, an open-source genomic variant caller that considerably enhances the accuracy of identifying variant areas. This innovation in Genomics has added to the fastest ever [human genome](http://suvenir51.ru) sequencing, and helped produce the world's first human pangenome referral.
+
Google Research releases JAX - a Python library developed for high-performance mathematical computing, especially device finding out research.
+
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](https://miggoo.com.br) to help users more quickly reply to their email. Smart Compose constructs on Smart Reply, another [AI](http://bolling-afb.rackons.com) function.
+
Google releases its [AI](http://git.mcanet.com.ar) Principles - a set of guidelines that the company follows when [developing](https://gitea.star-linear.com) and using expert system. The concepts are created to ensure that [AI](http://47.102.102.152) is used in a way that is useful to society and respects human rights.
+
Google presents a brand-new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' queries.
+
AlphaZero, a basic reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://careers.synergywirelineequipment.com) shows for the first time a computational task that can be [executed](http://git.yang800.cn) significantly faster on a quantum processor than on the world's fastest classical computer-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical gadget.
+
Google Research proposes utilizing maker discovering itself to help in producing computer system chip hardware to speed up the design process.
+
DeepMind's AlphaFold is [acknowledged](https://git.xutils.co) as an option to the 50-year "protein-folding issue." AlphaFold can properly predict 3D designs 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, multimodal designs that are 1,000 times more effective than BERT and [enable individuals](https://mhealth-consulting.eu) to naturally ask questions throughout various types of details.
+
At I/O 2021, Google reveals LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](http://www.hyakuyichi.com:3000) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language model to date, trained on 540 billion specifications.
+
Sundar announces LaMDA 2, Google's most innovative conversational [AI](http://182.92.143.66:3000) model.
+
Google reveals Imagen and Parti, two designs that utilize various techniques to generate 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 practical videos from text prompts.
+
Google developed Med-PaLM, a medically fine-tuned LLM, [gratisafhalen.be](https://gratisafhalen.be/author/deedelgado/) which was the very first design to attain a passing score on a medical licensing exam-style concern criteria, demonstrating its capability to properly address medical concerns.
+
Google presents MusicLM, an [AI](http://git.baige.me) design that can generate music from text.
+
Google's Quantum [AI](https://www.dailynaukri.pk) attains the world's very first presentation of lowering mistakes in a quantum processor by increasing the variety of qubits.
+
Google launches Bard, an early experiment that lets people team up with generative [AI](https://idaivelai.com), first in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
Google introduces PaLM 2, our next generation large language design, that constructs on Google's legacy of advancement research in artificial intelligence and accountable [AI](http://120.48.7.250:3000).
+
GraphCast, an [AI](http://47.242.77.180) model for faster and more accurate global weather condition forecasting, is introduced.
+
GNoME - a deep learning tool - is utilized to find 2.2 million new crystals, including 380,000 steady materials that might power future technologies.
+
Google presents Gemini, our most capable and basic design, developed from the ground up to be multimodal. Gemini is able to generalize and flawlessly understand, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) operate across, and integrate different kinds of details consisting of text, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:HildredWarby80) code, audio, image and video.
+
Google broadens the Gemini environment to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, offering people access to Google's most capable [AI](https://jobs.fabumama.com) models.
+
Gemma is a household of lightweight state-of-the art open designs developed from the same research and innovation used to create the Gemini designs.
+
Introduced [AlphaFold](https://evertonfcfansclub.com) 3, a brand-new [AI](https://careers.midware.in) design developed by Google [DeepMind](http://119.3.29.1773000) and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its abilities, totally free, through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This accomplishment, made possible by the blend of scientific imaging and Google's [AI](http://dev.onstyler.net:30300) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new maker learning-based technique to simulating [Earth's](http://201.17.3.963000) environment, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines standard physics-based modeling with ML for improved simulation accuracy and effectiveness.
+
Our combined AlphaProof and AlphaGeometry 2 systems fixed 4 out of six issues from the 2024 International Mathematical [Olympiad](https://willingjobs.com) (IMO), 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 actually also become extensively acknowledged as a grand difficulty in artificial intelligence.
\ No newline at end of file