diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index f9c3dbf..b3f7b46 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 at scale in Search.
-
Google releases Google Translate utilizing machine learning to automatically translate languages, starting with [Arabic-English](https://noinai.com) and English-Arabic.
-
A new age of [AI](https://www.4bride.org) starts when Google researchers enhance speech acknowledgment with Deep Neural Networks, which is a brand-new device learning architecture loosely designed after the neural structures in the human brain.
-
In the well-known "feline paper," Google Research begins using big sets of "unlabeled information," like videos and pictures from the internet, to considerably improve [AI](http://mao2000.com:3000) image category. Roughly comparable to human learning, the neural network recognizes images (including felines!) from direct exposure rather of direct instruction.
-
[Introduced](https://jobsfevr.com) in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in natural language processing-- going on to be mentioned 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 find out control policies straight from high-dimensional sensory input utilizing support [learning](http://git.airtlab.com3000). It [played Atari](https://krotovic.cz) games from simply the raw pixel input at a level that superpassed a human professional.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective maker [learning method](https://git.iws.uni-stuttgart.de) that can [discover](http://shenjj.xyz3000) to translate languages and sum up text by reading words one at a time and remembering what it has checked out before.
-
Google obtains DeepMind, among the leading [AI](http://gitlab.dstsoft.net) research laboratories on the planet.
-
Google deploys RankBrain in Search and Ads offering a much better understanding of how words relate to principles.
-
Distillation permits intricate designs to run in production by minimizing their size and latency, while keeping many of the efficiency of larger, more computationally pricey models. It has been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O developers conference, Google introduces Google Photos, a brand-new app that uses [AI](http://39.108.93.0) with search capability to search for and gain access to your memories by the people, places, and things that matter.
-
Google introduces TensorFlow, a brand-new, scalable open source machine finding out framework used in speech recognition.
-
Google Research proposes a new, decentralized method to training [AI](http://gitlab.zbqdy666.com) called Federated Learning that promises enhanced security and scalability.
-
AlphaGo, a computer system [program established](https://www.apkjobs.site) by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:ArronRunyon8868) well known for his creativity and [extensively](http://113.105.183.1903000) thought about to be one of the greatest gamers of the past decade. During the video games, AlphaGo played several innovative winning moves. In game 2, it played Move 37 - an imaginative relocation assisted AlphaGo win the game and upended centuries of standard knowledge.
-
Google publicly announces the Tensor Processing Unit (TPU), customized data center silicon constructed particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is announced in 2017
+
Google starts [utilizing maker](http://westec-immo.com) learning to aid with spell check at scale in Search.
+
Google releases Google Translate utilizing machine discovering to immediately translate languages, beginning with Arabic-English and English-Arabic.
+
A new age of [AI](http://43.139.182.87:1111) starts when Google researchers speech acknowledgment with Deep Neural Networks, which is a brand-new machine learning architecture loosely modeled after the neural structures in the human brain.
+
In the popular "cat paper," Google Research starts using big sets of "unlabeled data," like videos and photos from the internet, to considerably improve [AI](https://git.highp.ing) image category. Roughly analogous to human knowing, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) the neural network acknowledges images (including felines!) from exposure 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 years 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](http://sl860.com) learning. It [played Atari](http://quickad.0ok0.com) 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 machine discovering method that can discover to equate languages and summarize text by checking out words one at a time and remembering what it has actually read in the past.
+
Google obtains DeepMind, among the leading [AI](http://mpowerstaffing.com) research study labs on the planet.
+
Google releases RankBrain in Search and Ads providing a much better understanding of how words relate to concepts.
+
Distillation enables complicated designs to run in production by [lowering](http://harimuniform.co.kr) their size and latency, while keeping most of the performance of larger, more computationally pricey designs. It has been used to improve Google Search and [Smart Summary](https://sjee.online) for Gmail, Chat, Docs, and more.
+
At its annual I/O designers conference, [Google introduces](https://git.liubin.name) Google Photos, a brand-new app that uses [AI](https://cielexpertise.ma) with search ability to look for and gain access to your memories by the individuals, places, and things that matter.
+
Google introduces TensorFlow, a brand-new, scalable open source device finding out structure utilized in speech recognition.
+
Google Research proposes a new, decentralized approach to training [AI](https://whotube.great-site.net) called Federated Learning that assures better 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 widely thought about to be among the best gamers of the past years. During the video games, AlphaGo played several inventive winning moves. In game 2, it played Move 37 - a creative move helped AlphaGo win the game and upended centuries of conventional knowledge.
+
Google openly reveals the Tensor Processing Unit (TPU), custom-made data center silicon developed specifically for artificial intelligence. After that announcement, 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, [yewiki.org](https://www.yewiki.org/User:EdwinaMcintire3) Sundar announces the world's biggest, publicly-available device discovering center, powered by TPU v4 pods and based at our data center in Mayes County, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) Oklahoma, which runs on 90% carbon-free energy.
-
Developed by researchers at DeepMind, WaveNet is a brand-new deep neural network for creating raw audio waveforms enabling it to design natural sounding speech. [WaveNet](http://124.221.255.92) was used to design much of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which utilizes cutting edge training strategies to attain the largest improvements to date for device translation quality.
-
In a paper released in the Journal of the [American Medical](http://ods.ranker.pub) Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image might perform on-par with board-certified eye doctors.
-
Google releases "Attention Is All You Need," a research study paper that presents the Transformer, a novel neural network architecture especially well fit for language understanding, among lots of other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that substantially improves the precision of determining variant locations. This development in Genomics has contributed to the fastest ever human genome sequencing, and helped develop the world's very first human pangenome referral.
-
Google Research launches JAX - a Python library created for [high-performance mathematical](https://git.i2edu.net) computing, especially maker finding out research.
-
[Google reveals](http://www.chinajobbox.com) Smart Compose, a new [feature](http://47.100.81.115) in Gmail that utilizes [AI](https://skilling-india.in) to help users more rapidly respond to their email. Smart Compose builds on Smart Reply, another [AI](https://cacklehub.com) function.
-
Google releases its [AI](https://media.labtech.org) Principles - a set of guidelines that the company follows when establishing and using artificial intelligence. The principles are designed to guarantee that [AI](https://localglobal.in) is used in such a way that is advantageous to society and aspects human rights.
-
Google presents a brand-new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better comprehend [users' queries](http://www.hanmacsamsung.com).
-
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://storage.sukazyo.cc) demonstrates for the very first time a computational task that can be performed exponentially faster on a quantum processor than on the world's fastest classical computer system-- just 200 seconds on a quantum processor compared to the 10,000 years it would take on a classical gadget.
-
Google Research [proposes utilizing](https://hireforeignworkers.ca) maker learning itself to help in producing computer chip hardware to accelerate the style process.
-
DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding issue." AlphaFold can precisely forecast 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, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) Google reveals MUM, multimodal models that are 1,000 times more effective than BERT and allow people to naturally ask concerns throughout different types of details.
-
At I/O 2021, Google announces LaMDA, a new conversational technology brief for "Language Model for Dialogue Applications."
-
[Google announces](http://solefire.net) Tensor, a custom-built System on a Chip (SoC) developed to bring sophisticated [AI](https://learninghub.fulljam.com) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion criteria.
-
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://www.gritalent.com) model.
-
[Google reveals](https://abilliontestimoniesandmore.org) Imagen and Parti, two designs that utilize different methods to [produce photorealistic](http://mao2000.com3000) images from a text description.
-
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged [proteins understood](http://8.129.8.58) to [science--](https://pioneerayurvedic.ac.in) is released.
-
Google reveals Phenaki, a model that can generate practical videos from text prompts.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the very first design to attain a passing rating on a medical licensing exam-style [question](http://118.190.145.2173000) criteria, showing its [capability](http://47.107.80.2363000) to accurately respond to medical concerns.
-
Google introduces MusicLM, an [AI](http://165.22.249.52:8888) model that can produce music from text.
-
Google's Quantum [AI](http://47.98.226.240:3000) attains the world's very first presentation of decreasing mistakes in a quantum processor by increasing the [variety](http://39.98.84.2323000) of qubits.
-
Google releases Bard, an early experiment that lets individuals collaborate with generative [AI](https://bantooplay.com), 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 large language design, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:EsperanzaHopson) that constructs on Google's tradition of development research in artificial intelligence and accountable [AI](https://www.outletrelogios.com.br).
-
GraphCast, an [AI](http://47.108.182.66:7777) design for faster and more accurate international weather forecasting, is introduced.
-
GNoME - a deep learning tool - is utilized to find 2.2 million new crystals, consisting of 380,000 stable products that might power future innovations.
-
Google presents Gemini, our most capable and basic design, built from the ground up to be multimodal. Gemini is able to generalize and perfectly comprehend, operate throughout, and combine various types of details including text, code, audio, image and [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:RamonitaSikes00) video.
-
Google broadens the Gemini community to present a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, giving people access to Google's many capable [AI](http://cgi3.bekkoame.ne.jp) [designs](https://voovixtv.com).
-
Gemma is a household of light-weight state-of-the art open designs built from the same research and innovation used to produce the [Gemini designs](http://skyfffire.com3000).
-
Introduced AlphaFold 3, a new [AI](https://www.shwemusic.com) model established by Google DeepMind and Isomorphic Labs that predicts the [structure](https://git.lewd.wtf) of proteins, DNA, RNA, [wiki.lafabriquedelalogistique.fr](https://wiki.lafabriquedelalogistique.fr/Utilisateur:SergioK789226859) ligands and more. Scientists can access the bulk of its abilities, free of charge, through AlphaFold Server.
-
Google Research and Harvard released the very first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the fusion of scientific imaging and Google's [AI](http://git.nuomayun.com) algorithms, paves the way for discoveries about brain function.
-
NeuralGCM, a new machine learning-based approach to imitating Earth's atmosphere, is introduced. Developed in collaboration with the European Centre for [Medium-Range Weather](https://git.tasu.ventures) Report (ECMWF), NeuralGCM combines traditional physics-based modeling with ML for improved simulation accuracy and effectiveness.
-
Our integrated AlphaProof and AlphaGeometry 2 systems solved four out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competition for the very first time. The IMO is the oldest, largest and most distinguished competition for young mathematicians, and has actually also ended up being widely recognized as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, Sundar announces the world's biggest, publicly-available device finding out center, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for generating 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 cutting edge training strategies to attain the largest improvements to date for device translation quality.
+
In a [paper released](https://git.morenonet.com) in the Journal of the American Medical Association, Google shows that a machine-learning driven system for detecting diabetic retinopathy from a retinal image might perform on-par with board-certified eye doctors.
+
Google launches "Attention Is All You Need," a research paper that presents the Transformer, a novel neural network architecture particularly well matched for language understanding, amongst many other things.
+
Introduced DeepVariant, an open-source genomic variant caller that substantially improves the accuracy of identifying variant areas. This development in Genomics has contributed to the fastest ever human genome sequencing, and assisted produce the world's first human pangenome referral.
+
Google Research releases JAX - a Python library created for high-performance mathematical computing, specifically device finding out research study.
+
Google reveals Smart Compose, a new function in Gmail that uses [AI](https://linkin.commoners.in) to help users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://bug-bounty.firwal.com) feature.
+
Google publishes its [AI](https://papersoc.com) Principles - a set of guidelines that the business follows when [establishing](https://groupeudson.com) and using expert system. The principles are created to make sure that [AI](http://121.196.213.68:3000) is utilized in a method that is useful to society and respects human rights.
+
Google introduces a brand-new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' inquiries.
+
AlphaZero, a basic reinforcement discovering algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](http://116.236.50.103:8789) demonstrates for the very first time a computational job that can be carried out significantly faster on a quantum processor than on the world's fastest classical computer system-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a [classical gadget](https://jobstaffs.com).
+
Google Research proposes utilizing device discovering itself to help in creating computer system chip hardware to speed up the design process.
+
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding problem." AlphaFold can properly anticipate 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 announces MUM, multimodal designs that are 1,000 times more powerful than BERT and permit people to naturally ask concerns throughout different kinds of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational technology short for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a customized System on a Chip (SoC) designed to bring advanced [AI](https://gitlab.companywe.co.kr) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's [biggest language](https://gitea.ecommercetools.com.br) model to date, [trained](https://git.healthathome.com.np) on 540 billion parameters.
+
Sundar reveals LaMDA 2, Google's most innovative conversational [AI](http://daeasecurity.com) model.
+
Google announces Imagen and Parti, two designs that [utilize](http://tobang-bangsu.co.kr) different techniques to [produce photorealistic](https://virnal.com) images from a text description.
+
The AlphaFold Database-- which consisted of over 200 million proteins structures and nearly all cataloged proteins understood to science-- is released.
+
Google announces Phenaki, a design that can produce realistic videos from text triggers.
+
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first design to attain a passing score on a medical licensing exam-style question benchmark, demonstrating its capability to precisely respond to medical concerns.
+
Google presents MusicLM, an [AI](http://ieye.xyz:5080) model that can create music from text.
+
Google's Quantum [AI](http://expertsay.blog) attains the world's very first demonstration of minimizing mistakes in a quantum processor by increasing the number of qubits.
+
Google releases Bard, an early experiment that lets people work together with generative [AI](https://whotube.great-site.net), first in the US and UK - followed by other nations.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
[Google launches](https://intermilanfansclub.com) PaLM 2, our next generation large language model, that builds on Google's tradition of development research study in artificial intelligence and accountable [AI](http://195.58.37.180).
+
GraphCast, an [AI](https://myteacherspool.com) model for faster and more precise global weather condition forecasting, is introduced.
+
GNoME - a deep learning tool - is utilized to discover 2.2 million brand-new crystals, consisting of 380,000 steady products that might power future [technologies](https://crossborderdating.com).
+
Google introduces Gemini, our most capable and [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1321201) general model, constructed from the ground up to be multimodal. Gemini is able to generalize and effortlessly comprehend, operate across, and combine various kinds of details including text, code, audio, image and video.
+
Google expands the Gemini community to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, providing individuals access to Google's most capable [AI](https://mobidesign.us) designs.
+
Gemma is a household of light-weight state-of-the art open models developed from the same research study and technology utilized to create the Gemini models.
+
Introduced AlphaFold 3, a brand-new [AI](https://novashop6.com) model developed 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, for complimentary, through AlphaFold Server.
+
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This accomplishment, enabled by the combination of scientific imaging and Google's [AI](http://47.75.109.82) algorithms, paves the way for discoveries about brain function.
+
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 integrates conventional physics-based modeling with ML for enhanced simulation accuracy and effectiveness.
+
Our [combined AlphaProof](https://letsstartjob.com) and AlphaGeometry 2 systems resolved four out of six issues 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 earliest, largest and most prestigious competitors for young mathematicians, and has also ended up being extensively acknowledged as a grand obstacle in artificial intelligence.
\ No newline at end of file