diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index b38b111..f9c3dbf 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins using [device discovering](https://callingirls.com) to aid with spell checker at scale in Search.
-
Google releases Google Translate utilizing machine finding out to immediately equate languages, [starting](http://154.40.47.1873000) with Arabic-English and English-Arabic.
-
A new era of [AI](http://szfinest.com:6060) begins when Google scientists improve speech [acknowledgment](https://radiothamkin.com) with Deep Neural Networks, which is a new machine discovering architecture loosely designed after 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 substantially enhance [AI](https://www.bisshogram.com) image classification. Roughly comparable to human knowing, the [neural network](http://dnd.achoo.jp) acknowledges images (consisting of cats!) from direct exposure rather of direct guideline.
-
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic progress in [natural language](http://www.machinekorea.net) [processing--](http://175.25.51.903000) 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 effectively learn control policies straight from high-dimensional sensory input using support knowing. It played Atari games from just the raw pixel input at a level that superpassed a human expert.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective maker learning method that can learn to equate languages and summarize text by reading words one at a time and remembering what it has actually [checked](https://git.liubin.name) out in the past.
-
Google obtains DeepMind, one of the leading [AI](https://cyberdefenseprofessionals.com) research study labs worldwide.
-
Google releases [RankBrain](https://git.cno.org.co) in Search and Ads supplying a much better understanding of how words connect to concepts.
-
Distillation allows intricate models to run in production by decreasing their size and latency, while keeping most 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 yearly I/O designers conference, Google presents Google Photos, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:TAHRena195267306) a new app that utilizes [AI](http://www.chinajobbox.com) with search ability to look for and gain access to your memories by the individuals, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source maker finding out framework utilized in speech acknowledgment.
-
Google Research proposes a new, decentralized approach to training [AI](https://speeddating.co.il) called Federated Learning that promises enhanced security and scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famed for his creativity and extensively considered to be one of the greatest gamers of the previous decade. During the games, AlphaGo played numerous innovative winning relocations. In game 2, it played Move 37 - an innovative relocation assisted AlphaGo win the game and upended centuries of conventional knowledge.
-
Google openly [announces](https://git.noisolation.com) the Tensor Processing Unit (TPU), custom-made information center silicon developed specifically for [artificial intelligence](https://git.the-kn.com). After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is revealed in 2017
-
- • TPU v3 is revealed at I/O 2018
+
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
+
- • 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, [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:DwightLangler4) publicly-available machine discovering center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which works on 90% [carbon-free energy](http://120.196.85.1743000).
-
Developed by scientists at DeepMind, WaveNet is a new deep neural network for creating raw audio waveforms allowing it to model natural sounding speech. WaveNet was used to design much of the voices of the Google Assistant and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), which uses modern training strategies to attain the biggest enhancements to date for maker translation quality.
-
In a paper published 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 carry out on-par with board-certified eye doctors.
-
Google releases "Attention Is All You Need," a research paper that introduces the Transformer, an unique neural network architecture especially well matched for language understanding, among numerous other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially enhances the accuracy of identifying alternative areas. This development in Genomics has added to the fastest ever human genome sequencing, and helped develop the world's very first human pangenome recommendation.
-
Google Research releases JAX - a Python library designed for high-performance mathematical computing, particularly machine learning research study.
-
Google reveals Smart Compose, a brand-new function in Gmail that utilizes [AI](http://121.40.209.82:3000) to assist users faster respond to their email. Smart Compose develops on Smart Reply, another [AI](https://opedge.com) function.
-
Google releases its [AI](https://newtheories.info) Principles - a set of standards that the business follows when developing and utilizing artificial intelligence. The concepts are designed to ensure that [AI](https://skillnaukri.com) is used in a way that is helpful to society and respects human rights.
-
Google introduces a new method for natural language processing pre-training called Bidirectional Encoder Representations from [Transformers](https://jobsnotifications.com) (BERT), helping Search better understand users' questions.
-
AlphaZero, a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://git.7vbc.com) shows for the very first time a computational 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 discovering itself to help in creating computer chip hardware to accelerate the style process.
-
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding problem." AlphaFold can properly anticipate 3D designs of protein structures and is [speeding](https://www.mepcobill.site) up research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, multimodal designs that are 1,000 times more powerful than BERT and allow [individuals](https://git.uzavr.ru) to naturally ask concerns throughout different types of details.
+
- • 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 Tensor, a custom-made System on a Chip (SoC) developed to bring advanced [AI](http://hybrid-forum.ru) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest [language](https://arlogjobs.org) model to date, [trained](http://gitlab.unissoft-grp.com9880) on 540 billion specifications.
-
Sundar reveals LaMDA 2, Google's most advanced conversational [AI](https://gitlab.ngser.com) design.
-
Imagen and Parti, two designs that use different [techniques](http://git.jcode.net) to create photorealistic images from a text description.
-
The AlphaFold Database-- that [included](https://redebrasil.app) over 200 million proteins structures and nearly all cataloged proteins understood to science-- is launched.
-
Google announces Phenaki, a design that can produce realistic videos from text prompts.
-
Google developed Med-PaLM, a medically fine-tuned LLM, which was the first design to attain a passing rating on a medical licensing exam-style concern benchmark, showing its ability to [precisely address](http://ods.ranker.pub) medical concerns.
-
Google presents MusicLM, an [AI](https://newtheories.info) model that can produce music from text.
-
Google's Quantum [AI](http://47.93.156.192:7006) [attains](https://git.7vbc.com) the world's very first demonstration of reducing mistakes in a quantum processor by increasing the [variety](https://www.ifodea.com) of qubits.
-
Google releases Bard, an early experiment that lets people collaborate with generative [AI](https://baescout.com), first in the US and UK - followed by other nations.
+
[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 launches PaLM 2, our next generation big language design, that constructs on Google's legacy of advancement research study in [artificial intelligence](https://jobportal.kernel.sa) and responsible [AI](https://dev.nebulun.com).
-
GraphCast, an [AI](https://gitlab.minet.net) model for faster and more accurate international weather condition forecasting, is introduced.
-
GNoME - a deep knowing tool - is used to find 2.2 million brand-new crystals, consisting of 380,000 steady products that might [power future](https://www.selfhackathon.com) innovations.
-
Google presents Gemini, our most capable and basic model, [developed](https://cvbankye.com) from the ground up to be multimodal. Gemini has the ability to generalize and flawlessly understand, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:FranklinBreillat) operate across, and integrate 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 products like Gmail and Docs. Gemini Advanced introduced, offering people access to Google's many capable [AI](https://c-hireepersonnel.com) models.
-
Gemma is a household of lightweight state-of-the art open models developed from the same research study and innovation used to develop the Gemini models.
-
[Introduced](https://coptr.digipres.org) AlphaFold 3, a brand-new [AI](http://89.234.183.97:3000) model established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its abilities, for totally free, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution restoration of the human brain. This accomplishment, enabled by the combination of scientific imaging and Google's [AI](http://123.57.58.241) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a brand-new maker learning-based technique to imitating Earth's environment, is introduced. Developed in partnership with the European Centre for [Medium-Range Weather](https://rocksoff.org) Report (ECMWF), NeuralGCM integrates conventional physics-based modeling with ML for enhanced simulation accuracy and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 systems fixed 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competitors for the very first time. The IMO is the oldest, [largest](http://git.yoho.cn) and most prestigious competitors for young mathematicians, and has actually likewise ended up being extensively acknowledged as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
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