diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index db042ea..ad53464 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts [utilizing maker](http://xingyunyi.cn3000) finding out to aid with spell check at scale in Search.
-
Google launches Google Translate utilizing machine discovering to instantly equate languages, starting with Arabic-English and English-Arabic.
-
A new period of [AI](https://git.silasvedder.xyz) starts when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a new machine learning architecture loosely imitated the neural structures in the human brain.
-
In the popular "feline paper," Google Research begins utilizing large sets of "unlabeled information," like videos and images from the web, to considerably enhance [AI](https://gitea.gumirov.xyz) image category. Roughly analogous to human knowing, the neural network acknowledges images (including felines!) from exposure instead of direct direction.
-
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic development in natural language processing-- going on to be pointed out more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
-
AtariDQN is the first Deep Learning design to successfully find out control policies straight from high-dimensional sensory input utilizing support knowing. It played Atari video games from simply the raw pixel input at a level that superpassed a human expert.
-
Google provides Sequence To Sequence Learning With Neural Networks, a powerful machine discovering technique that can [discover](https://bd.cane-recruitment.com) to equate languages and sum up 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](https://globalhospitalitycareer.com) research laboratories in the world.
-
Google releases [RankBrain](https://soehoe.id) in Search and Ads supplying a better understanding of how words connect to ideas.
-
Distillation allows complex designs to run in [production](http://git.storkhealthcare.cn) by [decreasing](https://lonestartube.com) their size and latency, while keeping the majority of the performance of bigger, more computationally costly designs. It has been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O designers conference, Google introduces Google Photos, a new app that utilizes [AI](http://106.15.120.127:3000) with search ability to browse for and gain access to your memories by the people, locations, and things that matter.
-
Google introduces TensorFlow, a new, scalable open source maker discovering structure used in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized approach to training [AI](https://jktechnohub.com) called Federated Learning that guarantees improved security and scalability.
-
AlphaGo, a computer system program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famed for his imagination and commonly considered to be one of the biggest gamers of the previous years. During the games, AlphaGo played numerous inventive winning relocations. In video game 2, it played Move 37 - a creative relocation helped AlphaGo win the video game and overthrew centuries of traditional knowledge.
-
Google publicly reveals the Tensor Processing Unit (TPU), custom-made data center silicon constructed specifically 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 announces the world's biggest, publicly-available device discovering 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 researchers at DeepMind, WaveNet is a brand-new deep neural network for generating raw audio waveforms enabling it to model natural sounding speech. WaveNet was used to model a lot of the voices of the Google Assistant and other [Google services](https://vsbg.info).
-
Google announces the Google Neural Machine Translation system (GNMT), which uses state-of-the-art training methods to attain the biggest enhancements to date for device translation quality.
-
In a paper released in the [Journal](https://git.bloade.com) of the American Medical Association, Google [demonstrates](http://swwwwiki.coresv.net) that a machine-learning driven system for detecting diabetic retinopathy from a retinal image might perform on-par with board-certified eye doctors.
-
Google releases "Attention Is All You Need," a term paper that presents the Transformer, an unique neural network architecture particularly well suited for language understanding, amongst lots of other things.
-
Introduced DeepVariant, [demo.qkseo.in](http://demo.qkseo.in/profile.php?id=995691) an open-source genomic alternative caller that significantly enhances the precision of determining variant places. This development in Genomics has actually added to the fastest ever human genome sequencing, and assisted create the world's first human pangenome reference.
-
Google Research launches JAX - a Python library created for high-performance mathematical computing, particularly machine finding out research.
-
Google reveals Smart Compose, a brand-new feature in Gmail that utilizes [AI](http://208.167.242.150:3000) to help users faster respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://admithel.com) function.
-
Google releases its [AI](https://www.indianhighcaste.com) Principles - a set of guidelines that the company follows when establishing and utilizing synthetic intelligence. The principles are created to ensure that [AI](https://vcanhire.com) is used in a way that is advantageous to society and respects human rights.
-
Google presents a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better understand users' queries.
-
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
-
[Google's Quantum](https://social.mirrororg.com) [AI](https://git.bugi.si) shows for [mediawiki.hcah.in](https://mediawiki.hcah.in/index.php?title=User:RandellKenney) the very first time a [computational](http://secretour.xyz) task that can be carried out tremendously quicker 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 device.
-
Google Research proposes using machine learning itself to assist in producing computer system chip hardware to speed up the design procedure.
-
DeepMind's AlphaFold is as an option to the 50-year "protein-folding issue." AlphaFold can precisely forecast 3D designs of protein structures and is speeding up research in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal models that are 1,000 times more effective than BERT and permit people to naturally ask concerns across various types of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
-
Google announces Tensor, a customized System on a Chip (SoC) designed to bring advanced [AI](http://git.emagenic.cl) experiences to Pixel users.
-
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion specifications.
-
Sundar announces LaMDA 2, Google's most innovative conversational [AI](https://www.gritalent.com) model.
-
[Google reveals](https://topstours.com) Imagen and Parti, two models that use various techniques to [generate photorealistic](http://gitlab.pakgon.com) images from a text description.
-
The AlphaFold Database-- that included over 200 million proteins structures and almost all cataloged proteins known to science-- is launched.
-
Google reveals Phenaki, a model that can generate realistic videos from text prompts.
-
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](https://somkenjobs.com) concern criteria, showing its ability to properly answer medical questions.
-
Google presents MusicLM, an [AI](http://media.clear2work.com.au) design that can create music from text.
-
Google's Quantum [AI](https://www.weben.online) [attains](https://topcareerscaribbean.com) the world's first presentation of lowering mistakes in a quantum processor by [increasing](https://mypungi.com) the number of qubits.
-
Google launches Bard, an early experiment that lets individuals work together with generative [AI](http://xn--vk1b975azoatf94e.com), first in the US and UK - followed by other nations.
-
DeepMind and Google's Brain group merge to form Google DeepMind.
-
Google introduces PaLM 2, our next generation large language model, that develops on Google's tradition of breakthrough research study in artificial intelligence and [fishtanklive.wiki](https://fishtanklive.wiki/User:KentonR156) responsible [AI](https://git.silasvedder.xyz).
-
GraphCast, an [AI](https://ixoye.do) design for [yewiki.org](https://www.yewiki.org/User:MaisieRoldan5) faster and more precise worldwide weather forecasting, is presented.
-
GNoME - a deep knowing tool - is used to discover 2.2 million new crystals, consisting of 380,000 steady materials that could power future technologies.
-
Google introduces Gemini, our most capable and general model, built from the ground up to be multimodal. Gemini is able to generalize and seamlessly comprehend, run throughout, and combine various kinds of details consisting of text, code, audio, image and video.
-
Google expands the Gemini community to present a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, giving individuals access to Google's a lot of capable [AI](https://www.canaddatv.com) models.
-
Gemma is a family of lightweight state-of-the art open designs built from the very same research study and technology used to produce the Gemini designs.
-
Introduced AlphaFold 3, a new [AI](http://git.oksei.ru) design established by Google DeepMind 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](https://git.isatho.me).
-
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 [AI](https://xpressrh.com) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a new machine learning-based technique to simulating Earth's atmosphere, is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines traditional physics-based modeling with ML for enhanced simulation accuracy and efficiency.
-
Our integrated AlphaProof and AlphaGeometry 2 [systems resolved](https://learninghub.fulljam.com) 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competitors for the very first time. The IMO is the oldest, largest and most distinguished competition for [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:BernardDoolette) young mathematicians, and has also become commonly acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file
+
Google starts utilizing machine learning to aid with spell check at scale in Search.
+
Google introduces Google Translate utilizing device finding out to instantly translate languages, starting with Arabic-English and English-Arabic.
+
A new era of [AI](https://h2bstrategies.com) starts when Google researchers enhance speech acknowledgment with Deep Neural Networks, [disgaeawiki.info](https://disgaeawiki.info/index.php/User:AntoinetteLizott) which is a brand-new maker learning architecture loosely designed after the neural structures in the human brain.
+
In the well-known "cat paper," Google Research begins [utilizing](https://www.youtoonet.com) large sets of "unlabeled data," like videos and images from the web, to significantly enhance [AI](http://106.55.3.105:20080) image category. Roughly comparable to human knowing, the neural network recognizes images (including cats!) from direct exposure rather of direct guideline.
+
Introduced 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 mentioned 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](http://211.119.124.1103000) model to successfully learn control policies straight from high-dimensional sensory input using [support learning](http://git.cattech.org). It played Atari video games from simply the raw pixel input at a level that [superpassed](https://ysa.sa) a human expert.
+
Google presents Sequence To Sequence Learning With Neural Networks, a powerful machine finding out strategy that can discover to equate 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](http://www.heart-hotel.com) research study laboratories in the world.
+
Google deploys RankBrain in Search and Ads supplying a much better understanding of how words connect to ideas.
+
Distillation enables complex models to run in production by reducing their size and latency, while keeping the majority of the efficiency of bigger, more computationally pricey designs. It has been used 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 new app that utilizes [AI](http://wrgitlab.org) with search capability to browse for and 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://www.iwatex.com) called Federated Learning that guarantees enhanced 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 widely considered to be one of the biggest players of the previous years. During the video games, AlphaGo played several innovative winning relocations. In video game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and [raovatonline.org](https://raovatonline.org/author/charissa670/) overthrew centuries of conventional knowledge.
+
Google openly announces the Tensor Processing Unit (TPU), custom information center silicon developed specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](http://62.234.201.16) 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 biggest, publicly-available machine finding out hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
+
[Developed](http://47.99.37.638099) by scientists at DeepMind, WaveNet is a new deep neural network for [generating raw](https://reklama-a5.by) audio waveforms allowing it to design natural sounding speech. WaveNet was utilized to model much of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which utilizes advanced training techniques to attain the biggest enhancements to date for maker translation quality.
+
In a [paper published](http://gitpfg.pinfangw.com) in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could perform on-par with board-certified eye doctors.
+
Google releases "Attention Is All You Need," a term paper that presents the Transformer, an unique neural network architecture particularly well matched for language understanding, among lots of other things.
+
Introduced DeepVariant, an open-source genomic variant caller that substantially improves the accuracy of identifying variant places. This development in Genomics has added to the fastest ever human genome sequencing, and assisted produce the world's first human pangenome reference.
+
Google Research releases JAX - a Python library [designed](http://101.200.241.63000) for [high-performance numerical](https://te.legra.ph) computing, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:ChristyPetherick) especially maker finding out research study.
+
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](https://jimsusefultools.com) to assist users faster respond to their email. Smart Compose builds on Smart Reply, another [AI](https://local.wuanwanghao.top:3000) function.
+
Google publishes its [AI](https://career.ltu.bg) Principles - a set of guidelines that the business follows when developing and [utilizing expert](http://test.9e-chain.com) system. The principles are designed to ensure that [AI](https://git.j4nis05.ch) 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), assisting Search better understand users' questions.
+
AlphaZero, a basic reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://git-web.phomecoming.com) demonstrates for the very first time a computational task that can be performed tremendously faster 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 handle a classical device.
+
Google Research proposes using [maker learning](https://coopervigrj.com.br) itself to assist in developing computer chip hardware to speed up the design procedure.
+
DeepMind's AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can accurately predict 3D designs of protein structures and is speeding up research study 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 permit people to naturally ask questions across various types of details.
+
At I/O 2021, [links.gtanet.com.br](https://links.gtanet.com.br/vernon471078) Google announces LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](http://101.33.234.216:3000) 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 criteria.
+
Sundar reveals LaMDA 2, Google's most advanced conversational [AI](https://empleos.dilimport.com) design.
+
Google reveals Imagen and Parti, 2 models that use different strategies to create photorealistic images from a text description.
+
The AlphaFold Database-- which included over 200 million proteins structures and nearly all cataloged proteins known to science-- is released.
+
Google announces Phenaki, a design that can create practical videos from text prompts.
+
Google developed Med-PaLM, a medically fine-tuned LLM, which was the very first model to attain a [passing rating](https://gemma.mysocialuniverse.com) on a medical licensing exam-style concern criteria, showing its ability to properly answer medical concerns.
+
Google introduces MusicLM, an [AI](http://8.137.58.20:3000) model that can produce music from text.
+
Google's Quantum [AI](http://betim.rackons.com) attains the world's first presentation of minimizing mistakes in a quantum processor [yewiki.org](https://www.yewiki.org/User:ElenaGrenda45) by increasing the variety of qubits.
+
Google releases Bard, an early experiment that lets people work together with generative [AI](http://www.dahengsi.com:30002), first in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
[Google introduces](https://empleosmarketplace.com) PaLM 2, our next generation large language design, that develops on Google's tradition of breakthrough research study in artificial intelligence and responsible [AI](http://gnu5.hisystem.com.ar).
+
GraphCast, an [AI](https://www.klaverjob.com) design for faster and more precise international weather forecasting, is presented.
+
GNoME - a deep knowing tool - is utilized to discover 2.2 million brand-new crystals, including 380,000 stable products that might power future technologies.
+
Google presents Gemini, our most capable and basic model, built from the ground up to be multimodal. Gemini has the ability to generalize and perfectly comprehend, operate across, and [combine](https://vidacibernetica.com) different kinds of [details including](https://score808.us) text, 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 released, giving individuals access to Google's a lot of capable [AI](https://freeads.cloud) designs.
+
Gemma is a household of light-weight state-of-the art open models constructed from the exact same research and innovation utilized to create the Gemini models.
+
Introduced AlphaFold 3, a new [AI](http://103.77.166.198:3000) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. [Scientists](https://hitechjobs.me) can access the majority of its capabilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard published the very first synaptic-resolution reconstruction of the human brain. This accomplishment, enabled by the fusion of clinical imaging and Google's [AI](https://209rocks.com) algorithms, paves the way for [discoveries](https://sapjobsindia.com) about brain function.
+
NeuralGCM, a new [device learning-based](http://62.178.96.1923000) [approach](https://gitea.thisbot.ru) to replicating Earth's atmosphere, [raovatonline.org](https://raovatonline.org/author/gailziegler/) is introduced. Developed in partnership 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 combined AlphaProof and [AlphaGeometry](http://114.115.138.988900) 2 systems resolved four out of 6 issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competitors for the first time. The IMO is the earliest, biggest and most prestigious competitors for young mathematicians, and has likewise become widely recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file