diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index aa64b45..36dd654 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts utilizing maker learning to aid with spell check at scale in Search.
-
Google introduces Google Translate utilizing machine discovering to instantly translate languages, beginning with Arabic-English and English-Arabic.
-
A new period of [AI](https://zikorah.com) starts when Google scientists enhance speech recognition with Deep Neural Networks, which is a brand-new device discovering architecture loosely imitated the neural structures in the human brain.
-
In the popular "feline paper," Google Research starts utilizing big sets of "unlabeled information," like videos and images from the internet, to substantially enhance [AI](https://elmerbits.com) image classification. Roughly comparable to human learning, the [neural network](http://www.tomtomtextiles.com) recognizes images (consisting of felines!) from exposure rather of direct instruction.
-
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 pointed out 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 learn control policies straight from high-dimensional sensory input using reinforcement knowing. It played Atari games from simply the raw pixel input at a level that superpassed a human expert.
-
Google provides Sequence To Sequence Learning With Neural Networks, a powerful machine finding out strategy that can discover to equate languages and sum up text by reading words one at a time and remembering what it has actually checked out before.
-
Google obtains DeepMind, one of the leading [AI](http://139.224.213.4:3000) research study labs in the world.
-
[Google deploys](https://git.juxiong.net) RankBrain in Search and [Ads providing](https://mediascatter.com) a much better understanding of how words associate with principles.
-
Distillation permits intricate designs to run in production by lowering their size and latency, while keeping the majority of the performance of larger, more computationally pricey models. It has been used to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its annual I/O developers conference, Google presents Google Photos, a new app that utilizes [AI](https://hireblitz.com) with search ability to browse for and gain access to your memories by the people, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source machine discovering framework used in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized method to training [AI](https://career.finixia.in) called Federated Learning that assures better security and scalability.
-
AlphaGo, a computer system program developed by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famed for his creativity and extensively considered to be among the best players of the past decade. During the video games, [AlphaGo played](https://wacari-git.ru) a number of [inventive winning](https://www.lingualoc.com) moves. In game 2, it played Move 37 - an innovative move assisted AlphaGo win the video game and upended centuries of standard knowledge.
-
Google publicly reveals the Tensor Processing Unit (TPU), custom-made data center silicon developed particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
-
- • TPU v2 is announced in 2017
-
- • TPU v3 is revealed at I/O 2018
-
- • TPU v4 is announced at I/O 2021
-
- • At I/O 2022, Sundar announces the world's largest, publicly-available device learning hub, 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](https://git.becks-web.de) at DeepMind, WaveNet is a brand-new deep neural network for generating raw audio waveforms allowing it to design natural sounding speech. WaveNet was used to model many of the voices of the Google Assistant and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), [yewiki.org](https://www.yewiki.org/User:IvyPerkin5053) which utilizes advanced training methods to attain the biggest improvements to date for device translation .
-
In a paper released in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might perform on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a term paper that introduces 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 enhances the accuracy of identifying variant locations. This [development](http://yhxcloud.com12213) in Genomics has contributed to the fastest ever human genome sequencing, and assisted develop the world's very first human pangenome reference.
-
Google Research launches JAX - a Python library designed for high-performance mathematical computing, especially device discovering research.
-
Google announces Smart Compose, a brand-new function in Gmail that uses [AI](https://cannabisjobs.solutions) to assist users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](http://81.70.93.203:3000) feature.
-
Google releases its [AI](https://www.valenzuelatrabaho.gov.ph) Principles - a set of guidelines that the company follows when developing and using expert system. The principles are developed to ensure that [AI](https://167.172.148.93:4433) is used in such a way that is advantageous to society and aspects 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 [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:ToryMacgeorge) users' queries.
-
AlphaZero, a general support discovering algorithm, masters chess, shogi, and Go through [self-play](https://www.seekbetter.careers).
-
Google's Quantum [AI](http://git.info666.com) demonstrates for the very first time a computational task that can be performed tremendously much faster on a quantum processor than on the world's fastest classical computer [system--](https://vids.nickivey.com) just 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical device.
-
Google Research proposes using device learning itself to help in producing computer system chip hardware to accelerate the [style process](https://nujob.ch).
-
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding problem." AlphaFold can [accurately anticipate](https://asteroidsathome.net) 3D designs of protein structures and is accelerating research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, [Google announces](https://skytube.skyinfo.in) MUM, multimodal models that are 1,000 times more effective than BERT and enable people to naturally ask questions throughout different types of details.
-
At I/O 2021, Google announces LaMDA, a brand-new conversational [innovation short](https://intgez.com) for "Language Model for Dialogue Applications."
-
Google announces Tensor, a custom-made System on a Chip (SoC) created to bring innovative [AI](https://skytube.skyinfo.in) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or [Pathways](https://git.andert.me) Language Model - Google's largest language design to date, trained on 540 billion specifications.
-
Sundar reveals LaMDA 2, Google's most innovative conversational [AI](http://107.172.157.44:3000) design.
-
Google reveals Imagen and Parti, 2 designs that utilize different methods to create photorealistic images from a text description.
-
The AlphaFold Database-- that 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.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the first design to attain a passing score on a medical licensing exam-style concern criteria, demonstrating its capability to precisely answer medical questions.
-
Google introduces MusicLM, an [AI](https://wiki.rrtn.org) model that can generate music from text.
-
Google's Quantum [AI](https://beta.talentfusion.vn) attains the world's first presentation of minimizing errors in a quantum processor by increasing the number of qubits.
-
Google releases Bard, an early experiment that lets individuals work together with generative [AI](https://feniciaett.com), first in the US and UK - followed by other countries.
-
DeepMind and Google's Brain group merge to form Google DeepMind.
-
Google releases PaLM 2, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11857434) our next generation large language model, that develops on Google's tradition of development research study in artificial intelligence and accountable [AI](http://59.110.68.162:3000).
-
GraphCast, an [AI](http://gitlab.marcosurrey.de) model for faster and more accurate global weather forecasting, is introduced.
-
GNoME - a deep knowing tool - is utilized to find 2.2 million brand-new crystals, [forum.altaycoins.com](http://forum.altaycoins.com/profile.php?id=1092690) including 380,000 steady products that could power future innovations.
-
Google introduces Gemini, our most capable and general model, constructed from the ground up to be multimodal. Gemini is able to generalize and flawlessly comprehend, run throughout, and combine various types of details consisting of text, code, audio, image and video.
-
Google broadens the Gemini ecosystem to present a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, offering individuals access to [Google's](https://git.aaronmanning.net) most capable [AI](https://teba.timbaktuu.com) designs.
-
Gemma is a family of [lightweight state-of-the](http://114.115.138.988900) art open [designs built](https://hireblitz.com) from the exact same research study and [technology utilized](https://spreek.me) to create the Gemini designs.
-
[Introduced](https://wiki.airlinemogul.com) AlphaFold 3, a brand-new [AI](https://dronio24.com) design established by Google DeepMind and Isomorphic Labs that forecasts the [structure](http://8.136.199.333000) of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its abilities, totally free, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the fusion of scientific imaging and Google's [AI](http://112.74.102.69:6688) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a brand-new device learning-based technique to simulating Earth's atmosphere, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates conventional physics-based modeling with ML for improved simulation accuracy and effectiveness.
-
Our integrated AlphaProof and AlphaGeometry 2 systems solved 4 out of 6 problems 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, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) biggest and most distinguished competitors for young mathematicians, and has actually likewise become widely acknowledged as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
Google starts utilizing device discovering to aid with spell checker at scale in Search.
+
Google introduces Google Translate using device finding out to automatically equate languages, starting with Arabic-English and English-Arabic.
+
A new era of [AI](https://careers.ecocashholdings.co.zw) starts 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 popular "feline paper," Google Research starts using big sets of "unlabeled information," like videos and [pictures](https://git.profect.de) from the internet, to considerably enhance [AI](https://social.web2rise.com) image classification. Roughly analogous to human learning, the neural network acknowledges images (consisting of felines!) from direct exposure rather of direct guideline.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec [catalyzed fundamental](https://cristianoronaldoclub.com) progress 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 effectively discover control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari video games from just the raw pixel input at a level that superpassed a human professional.
+
Google provides Sequence To Sequence Learning With Neural Networks, a powerful device discovering method that can find out to equate languages and summarize text by reading words one at a time and remembering what it has actually read in the past.
+
Google obtains DeepMind, among the leading [AI](http://artpia.net) research laboratories in the world.
+
Google deploys RankBrain in Search and Ads supplying a much better [understanding](http://101.34.211.1723000) of how words associate with principles.
+
Distillation enables complex designs to run in production by decreasing their size and latency, while keeping the majority of the efficiency of bigger, more computationally expensive models. It has actually 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 new app that utilizes [AI](https://music.lcn.asia) with [search capability](https://www.blatech.co.uk) to search for and gain access to your memories by the individuals, locations, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source maker learning framework used in speech recognition.
+
Google Research proposes a brand-new, decentralized approach to [training](https://skytube.skyinfo.in) [AI](https://higgledy-piggledy.xyz) called Federated Learning that promises enhanced security and scalability.
+
AlphaGo, a computer system [program established](https://121.36.226.23) by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his imagination and extensively 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 upended centuries of standard knowledge.
+
Google publicly 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 in 2017
+
- • TPU v3 is announced at I/O 2018
+
- • TPU v4 is revealed at I/O 2021
+
- • At I/O 2022, Sundar reveals the world's largest, publicly-available machine hub, 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 new deep neural network for generating raw audio waveforms allowing 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 reveals the Google Neural Machine Translation system (GNMT), which uses advanced training techniques to attain the biggest enhancements to date for device translation quality.
+
In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic retinopathy from a [retinal](https://fishtanklive.wiki) image could carry out on-par with board-certified ophthalmologists.
+
Google launches "Attention Is All You Need," a research study paper that introduces the Transformer, a novel neural network architecture especially well fit for language understanding, among lots of other things.
+
[Introduced](https://bahnreise-wiki.de) DeepVariant, an open-source genomic alternative caller that significantly enhances the accuracy of determining variant places. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, and assisted develop the world's first human pangenome recommendation.
+
Google Research launches JAX - a Python library developed for high-performance numerical computing, particularly machine discovering research study.
+
Google announces Smart Compose, a brand-new function in Gmail that utilizes [AI](http://taesungco.net) to help users more quickly respond to their email. Smart Compose develops on Smart Reply, another [AI](https://dooplern.com) function.
+
Google releases its [AI](https://followmypic.com) Principles - a set of standards that the business follows when developing and using synthetic intelligence. The concepts are designed to guarantee that [AI](https://git.trov.ar) is used in such a way that is useful to society and [respects human](https://rhcstaffing.com) rights.
+
Google presents a new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better understand users' questions.
+
AlphaZero, a basic reinforcement discovering algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://talentmatch.somatik.io) demonstrates for the first time a computational task that can be carried out greatly much faster on a quantum processor than on the world's fastest classical computer system-- simply 200 seconds on a quantum processor compared to the 10,000 years it would take on a classical device.
+
Google Research proposes using device discovering itself to assist in developing computer chip hardware to accelerate the design procedure.
+
DeepMind's AlphaFold is [recognized](https://195.216.35.156) as an option to the 50-year "protein-folding problem." AlphaFold can properly anticipate 3D models of [protein structures](https://yooobu.com) and is speeding up 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 allow people to naturally ask questions throughout different kinds of details.
+
At I/O 2021, [Google reveals](http://git.9uhd.com) LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a customized System on a Chip (SoC) developed to bring advanced [AI](https://izibiz.pl) experiences to Pixel users.
+
At I/O 2022, [Sundar announces](https://xn--v69atsro52ncsg2uqd74apxb.com) PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion specifications.
+
Sundar announces LaMDA 2, Google's most advanced conversational [AI](http://47.120.70.16:8000) model.
+
Google announces Imagen and Parti, 2 models that utilize various techniques to produce photorealistic images from a text description.
+
The AlphaFold Database-- which consisted of over 200 million proteins structures and almost all cataloged proteins understood to science-- is released.
+
Google announces Phenaki, a model that can create realistic videos from text prompts.
+
Google developed Med-PaLM, a medically fine-tuned LLM, which was the very first model to attain a passing rating on a medical licensing exam-style question criteria, demonstrating its ability to precisely address [medical](http://81.68.246.1736680) concerns.
+
[Google introduces](https://dubairesumes.com) MusicLM, an [AI](http://git.twopiz.com:8888) design that can generate music from text.
+
Google's Quantum [AI](http://42.194.159.64:9981) attains the world's first presentation of minimizing errors in a quantum processor by increasing the number of qubits.
+
Google releases Bard, an early experiment that lets people collaborate with generative [AI](https://www.mediarebell.com), initially in the US and UK - followed by other nations.
+
DeepMind and Google's Brain team merge to form Google DeepMind.
+
Google launches PaLM 2, our next generation large language model, that develops on Google's tradition of breakthrough research in artificial intelligence and accountable [AI](https://121.36.226.23).
+
GraphCast, an [AI](https://repo.farce.de) model for faster and more accurate worldwide weather forecasting, is introduced.
+
GNoME - a deep [learning tool](https://wiki.openwater.health) - is utilized to discover 2.2 million brand-new crystals, including 380,000 steady products that might power future technologies.
+
Google presents Gemini, our most capable and basic design, developed from the ground up to be multimodal. Gemini has the ability to [generalize](http://140.143.208.1273000) and effortlessly comprehend, run across, and combine various 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 brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, [larsaluarna.se](http://www.larsaluarna.se/index.php/User:OdellMcLaughlin) offering people access to Google's many capable [AI](https://git.blinkpay.vn) [designs](https://git.didi.la).
+
Gemma is a family of lightweight state-of-the art open [models constructed](https://ezworkers.com) from the same research study and technology used to create the Gemini models.
+
Introduced AlphaFold 3, a new [AI](https://hayhat.net) model 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, free of charge, through AlphaFold Server.
+
Google Research and Harvard published the first [synaptic-resolution reconstruction](https://sebeke.website) of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](http://gitlabhwy.kmlckj.com) algorithms, paves the way for discoveries about brain function.
+
NeuralGCM, a new device learning-based approach to imitating Earth's atmosphere, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines standard physics-based modeling with ML for enhanced simulation precision and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems solved 4 out of 6 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 oldest, biggest and most distinguished competition for young mathematicians, and has also become commonly acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file