diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 794d7cd..06c3854 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts using maker finding out to aid with spell checker at scale in Search.
-
Google launches Google Translate using machine finding out to immediately equate languages, beginning with Arabic-English and English-Arabic.
-
A new age of [AI](https://earthdailyagro.com) begins when Google researchers improve speech acknowledgment with Deep Neural Networks, which is a brand-new machine learning architecture loosely imitated the neural structures in the human brain.
-
In the famous "cat paper," Google Research begins utilizing large sets of "unlabeled information," like videos and photos from the internet, to considerably enhance [AI](http://59.37.167.93:8091) image category. [Roughly analogous](https://elitevacancies.co.za) to human learning, the neural network acknowledges images (including cats!) from exposure rather of direct instruction.
-
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental development 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](https://youslade.com) design to effectively learn control policies straight from high-dimensional sensory input utilizing reinforcement knowing. It played Atari games from just the raw pixel input at a level that superpassed a human professional.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective machine discovering technique that can find out to equate languages and summarize text by checking out words one at a time and remembering what it has checked out before.
-
Google obtains DeepMind, one of the leading [AI](http://101.35.184.155:3000) research laboratories on the planet.
-
Google releases RankBrain in Search and Ads providing a much better [understanding](http://vivefive.sakura.ne.jp) of how words relate to principles.
-
Distillation enables intricate designs to run in production by lowering their size and latency, while keeping the majority of the efficiency of bigger, more computationally costly 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 brand-new app that uses [AI](https://clearcreek.a2hosted.com) with search ability to look for and gain access to your [memories](https://trackrecord.id) by the people, places, and things that matter.
-
Google presents TensorFlow, a brand-new, scalable open source machine learning structure utilized in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized method to training [AI](http://gitlab.ifsbank.com.cn) called Federated Learning that guarantees better security and scalability.
-
AlphaGo, a computer system program developed by DeepMind, plays the legendary Lee Sedol, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JackSchultz) winner of 18 world titles, renowned for his imagination and widely thought about to be one of the [biggest players](http://47.113.125.2033000) of the past decade. During the games, AlphaGo played a number of innovative winning relocations. In video game 2, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:BYYSalvatore) it played Move 37 - a creative move helped AlphaGo win the video game and upended centuries of standard knowledge.
-
Google openly reveals the Tensor Processing Unit (TPU), customized information center silicon built particularly for [artificial intelligence](http://xn--mf0bm6uh9iu3avi400g.kr). After that statement, the TPU continues to gain momentum:
-
- • TPU v2 is announced in 2017
+
Google starts utilizing machine finding out to aid with spell check at scale in Search.
+
Google introduces Google Translate utilizing maker discovering to automatically equate languages, beginning with Arabic-English and English-Arabic.
+
A new era of [AI](http://secdc.org.cn) starts when Google researchers improve speech acknowledgment with Deep Neural Networks, which is a brand-new maker finding out [architecture loosely](http://youtubeer.ru) designed after the neural structures in the human brain.
+
In the popular "feline paper," Google Research begins using large sets of "unlabeled data," like videos and images from the web, to considerably improve [AI](https://foris.gr) image category. Roughly analogous to human knowing, the [neural network](https://gmstaffingsolutions.com) [recognizes](http://47.101.187.298081) images ( of cats!) from exposure instead of direct guideline.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental progress in natural language processing-- going on to be cited more than 40,000 times in the years following, and [wavedream.wiki](https://wavedream.wiki/index.php/User:JaysonSpahn7) winning the NeurIPS 2023 "Test of Time" Award.
+
[AtariDQN](https://revinr.site) is the first Deep Learning design to effectively find out control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari [video games](https://git.wisder.net) from just the raw pixel input at a level that superpassed a human specialist.
+
Google provides Sequence To Sequence Learning With Neural Networks, a powerful maker learning method that can learn to translate languages and sum up text by checking out words one at a time and remembering what it has checked out before.
+
Google obtains DeepMind, among the leading [AI](https://wamc1950.com) research study labs on the planet.
+
Google deploys RankBrain in Search and Ads providing a better understanding of how words relate to concepts.
+
Distillation allows complex models to run in production by lowering their size and latency, while keeping the majority of the [efficiency](http://fcgit.scitech.co.kr) of bigger, more computationally expensive designs. It has been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its yearly I/O designers conference, Google introduces Google Photos, a brand-new app that utilizes [AI](https://feniciaett.com) with search ability to browse for and gain access to your memories by the individuals, locations, and things that matter.
+
Google introduces TensorFlow, a new, scalable open source maker finding out structure utilized in speech acknowledgment.
+
Google Research proposes a brand-new, decentralized approach to training [AI](https://tapeway.com) called Federated Learning that assures improved security and [scalability](https://fototik.com).
+
AlphaGo, a computer system program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famous for his imagination and commonly considered to be one of the biggest gamers of the previous decade. During the video games, AlphaGo played several innovative winning moves. In game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and upended centuries of traditional wisdom.
+
Google openly reveals 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 [revealed](https://truthbook.social) 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 machine discovering 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 at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms enabling it to model natural [sounding](https://mediawiki.hcah.in) speech. WaveNet was used to model many of the voices of the Google Assistant and [larsaluarna.se](http://www.larsaluarna.se/index.php/User:MoisesLeger) other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which [utilizes](http://8.222.216.1843000) state-of-the-art training techniques to attain the largest enhancements to date for maker translation quality.
-
In a paper released in the Journal of the American Medical Association, Google shows that a machine-learning driven system for identifying diabetic retinopathy from a retinal image could carry out on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture particularly well matched for [it-viking.ch](http://it-viking.ch/index.php/User:PrinceTalbott9) language understanding, amongst numerous other things.
-
Introduced DeepVariant, an [open-source genomic](http://120.77.209.1763000) variant caller that considerably improves the precision of determining alternative places. This innovation in Genomics has actually added to the fastest ever [human genome](http://git.ndjsxh.cn10080) sequencing, and helped develop the world's very first human pangenome reference.
-
Google Research launches JAX - a Python library designed for high-performance mathematical computing, especially maker learning research.
-
Google announces Smart Compose, a new feature in Gmail that utilizes [AI](https://xn--114-2k0oi50d.com) to assist users quicker reply to their email. Smart Compose develops on Smart Reply, another [AI](https://21fun.app) feature.
-
its [AI](https://1.214.207.44:10333) Principles - a set of standards that the company follows when establishing and [utilizing synthetic](https://evove.io) intelligence. The principles are designed to ensure that [AI](http://b-ways.sakura.ne.jp) is used in a way that is advantageous to society and aspects human rights.
-
Google introduces a new method for natural language processing pre-training called Bidirectional [Encoder Representations](http://121.40.114.1279000) from Transformers (BERT), helping Search much better understand users' inquiries.
-
AlphaZero, [wakewiki.de](https://www.wakewiki.de/index.php?title=Benutzer:DellMcGuirk7653) a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://sing.ibible.hk) demonstrates for the very 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-- simply 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 chip hardware to speed up the design process.
-
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding problem." AlphaFold can accurately forecast 3D designs of protein structures and is speeding up research study in biology. This work went on to get a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal models that are 1,000 times more effective than BERT and allow people to naturally ask questions throughout various types of details.
-
At I/O 2021, [Google announces](https://eduberkah.disdikkalteng.id) LaMDA, a new conversational technology brief for "Language Model for Dialogue Applications."
-
Google announces Tensor, a [customized](http://git.attnserver.com) System on a Chip (SoC) created to bring advanced [AI](https://gitea.alaindee.net) 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 criteria.
-
Sundar reveals LaMDA 2, Google's most advanced conversational [AI](https://gruppl.com) model.
-
Google reveals Imagen and Parti, 2 models that use different techniques to create [photorealistic images](https://mediawiki1263.00web.net) from a text description.
-
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins known to science-- is released.
-
Google reveals Phenaki, a design that can generate realistic videos from text triggers.
-
Google established Med-PaLM, a medically fine-tuned LLM, which was the very first design to attain a passing rating on a medical licensing exam-style concern criteria, demonstrating its ability to precisely answer medical questions.
-
Google introduces MusicLM, an [AI](https://sportworkplace.com) model that can generate music from text.
-
Google's Quantum [AI](https://git.fhlz.top) attains the world's first presentation of decreasing 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://lonestartube.com), initially in the US and UK - followed by other countries.
-
DeepMind and Google's Brain team merge to form Google DeepMind.
-
Google introduces PaLM 2, our next generation big language model, that constructs on Google's tradition of advancement research in artificial intelligence and accountable [AI](http://yijichain.com).
-
GraphCast, an [AI](https://repos.ubtob.net) design 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, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:MichellDevereaux) consisting of 380,000 steady products that could power future innovations.
-
Google introduces Gemini, our most capable and basic model, built from the ground up to be multimodal. Gemini has the ability to generalize and effortlessly understand, run throughout, and combine different types of details including text, code, audio, image and video.
-
Google broadens the Gemini ecosystem to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, offering people access to Google's many capable [AI](https://wrqbt.com) designs.
-
Gemma is a household of light-weight state-of-the art open designs constructed from the very same research and technology used to create the Gemini designs.
-
Introduced AlphaFold 3, a new [AI](http://121.36.27.6:3000) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:BrandyVail1) RNA, ligands and more. Scientists can access most of its capabilities, free of charge, through AlphaFold Server.
-
Google Research and Harvard released the very first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the blend of clinical imaging and Google's [AI](https://convia.gt) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a new machine learning-based approach 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 enhanced simulation accuracy and efficiency.
-
Our integrated AlphaProof and AlphaGeometry 2 systems solved four out of 6 problems from the 2024 International [Mathematical Olympiad](https://gitlab.companywe.co.kr) (IMO), attaining the same level as a silver medalist in the competition for the very first time. The IMO is the earliest, largest and most distinguished competitors for young mathematicians, and has also ended up being commonly recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
- • TPU v4 is revealed at I/O 2021
+
- • At I/O 2022, Sundar reveals the world's largest, publicly-available machine 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 at DeepMind, WaveNet is a new deep neural network for producing raw audio waveforms permitting it to model natural sounding speech. WaveNet was [utilized](https://revinr.site) to model a lot of the voices of the Google Assistant and other Google services.
+
Google reveals the Google Neural Machine Translation system (GNMT), which utilizes state-of-the-art training methods to attain the [biggest enhancements](https://foris.gr) to date for device translation quality.
+
In a paper released 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 carry out on-par with board-certified ophthalmologists.
+
Google launches "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture particularly well fit for language understanding, among numerous other things.
+
Introduced DeepVariant, an open-source genomic variant caller that considerably improves the accuracy of recognizing variant areas. This development in [Genomics](https://www.e-vinil.ro) has added to the fastest ever human genome sequencing, and helped [produce](http://xn---atd-9u7qh18ebmihlipsd.com) the world's first human pangenome reference.
+
Google Research launches JAX - a Python library developed for high-performance mathematical computing, specifically device learning research.
+
Google reveals Smart Compose, a new feature in Gmail that utilizes [AI](http://gitlab.nsenz.com) to help users faster respond to their email. Smart Compose builds on Smart Reply, another [AI](https://4stour.com) function.
+
Google publishes its [AI](https://www.uaelaboursupply.ae) Principles - a set of guidelines that the company follows when establishing and using expert system. The principles are designed to ensure that [AI](https://truthbook.social) is utilized in such a way that is advantageous to society and aspects human rights.
+
Google introduces a brand-new technique for natural language processing [pre-training](https://www.jccer.com2223) 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.buzhishi.com:14433) shows for the very first time a computational task that can be performed greatly quicker 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 machine discovering itself to help in creating computer system chip hardware to accelerate the style process.
+
DeepMind's AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can properly forecast 3D designs of protein structures and is [accelerating](http://kpt.kptyun.cn3000) research 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 effective than BERT and enable people to naturally ask concerns throughout different kinds of details.
+
At I/O 2021, Google reveals LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a custom-built System on a Chip (SoC) created to bring innovative [AI](https://newyorkcityfcfansclub.com) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language model to date, trained on 540 billion specifications.
+
Sundar announces LaMDA 2, Google's most advanced conversational [AI](http://gitlab.ifsbank.com.cn) design.
+
[Google reveals](http://www.pelletkorea.net) Imagen and Parti, two designs that use different methods to generate photorealistic images from a text description.
+
The AlphaFold Database-- which included over 200 million proteins structures and almost all cataloged proteins known to science-- is released.
+
Google reveals Phenaki, a design that can produce reasonable videos from text prompts.
+
Google established Med-PaLM, a medically fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style question standard, showing its ability to properly respond to medical questions.
+
Google introduces MusicLM, an [AI](http://103.140.54.20:3000) design that can produce music from text.
+
Google's Quantum [AI](http://linyijiu.cn:3000) attains the world's very first demonstration of minimizing errors in a quantum processor by increasing the variety of qubits.
+
Google launches Bard, an early experiment that lets people work together with generative [AI](https://nailrada.com), initially in the US and UK - followed by other nations.
+
DeepMind and Google's Brain team combine to form Google DeepMind.
+
Google launches PaLM 2, our next generation large language design, that develops on Google's tradition of breakthrough research study in artificial intelligence and responsible [AI](https://octomo.co.uk).
+
GraphCast, an [AI](http://fcgit.scitech.co.kr) design for faster and more accurate worldwide weather forecasting, is presented.
+
GNoME - a deep learning tool - is utilized to discover 2.2 million [brand-new](https://app.zamow-kontener.pl) crystals, consisting of 380,000 stable materials that could power future innovations.
+
Google presents Gemini, our most capable and basic design, developed from the ground up to be multimodal. Gemini has the ability to generalize and perfectly comprehend, operate throughout, and integrate various types of [details including](https://washcareer.com) text, code, audio, image and video.
+
Google broadens 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 most capable [AI](http://194.67.86.160:3100) designs.
+
Gemma is a household of light-weight state-of-the art open designs developed from the same research and technology used to produce the Gemini models.
+
Introduced [AlphaFold](https://suomalainennaikki.com) 3, a brand-new [AI](https://gitea.cronin.one) model developed by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its capabilities, totally free, through AlphaFold Server.
+
Google Research and Harvard published the first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the [combination](http://e-kou.jp) of clinical imaging and Google's [AI](http://124.223.222.61:3000) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a brand-new machine learning-based technique to replicating Earth's environment, is [introduced](https://gitoa.ru). Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for improved simulation precision and performance.
+
Our integrated AlphaProof and [AlphaGeometry](http://new-delhi.rackons.com) 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 competition for the very first time. The IMO is the oldest, largest and most prestigious competitors for young mathematicians, and has actually also ended up being widely acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file