diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 06c3854..a42b0c5 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
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 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
+
Google begins utilizing machine learning to aid with spell checker at scale in Search.
+
Google launches Google Translate using machine learning to automatically translate languages, starting with Arabic-English and English-Arabic.
+
A brand-new age of [AI](https://noinai.com) starts when Google scientists improve speech recognition with Deep Neural Networks, which is a new machine discovering architecture loosely designed after the neural structures in the human brain.
+
In the popular "cat paper," Google Research begins using large sets of "unlabeled data," like videos and pictures from the web, to considerably enhance [AI](https://apkjobs.com) image classification. Roughly analogous to human knowing, the neural network recognizes images (consisting of cats!) from exposure instead of direct instruction.
+
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 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 model to successfully find out control policies straight from [high-dimensional sensory](https://starttrainingfirstaid.com.au) input using support knowing. It played Atari games from just the raw pixel input at a level that superpassed a human specialist.
+
Google provides Sequence To With Neural Networks, a powerful maker learning technique that can learn to equate languages and sum up text by checking out words one at a time and [remembering](http://povoq.moe1145) what it has actually checked out previously.
+
Google obtains DeepMind, among the leading [AI](http://t93717yl.bget.ru) research study labs on the planet.
+
Google deploys RankBrain in Search and Ads offering a much better understanding of how words relate to ideas.
+
Distillation enables [complex designs](https://thegoldenalbatross.com) to run in production by reducing their size and latency, while keeping the majority of the [performance](http://121.37.166.03000) 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 designers conference, Google presents Google Photos, a new app that uses [AI](https://dokuwiki.stream) with search ability to browse for and gain access to your memories by the people, places, and things that matter.
+
Google introduces TensorFlow, a brand-new, scalable open source maker discovering framework utilized in speech acknowledgment.
+
Google Research proposes a new, decentralized technique to training [AI](https://www.fionapremium.com) called Federated Learning that assures enhanced security and scalability.
+
AlphaGo, a computer system program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, well known for his creativity and widely considered to be among the best gamers of the previous decade. During the video games, AlphaGo played a number of inventive winning relocations. In game 2, it played Move 37 - an [imaginative](https://avpro.cc) move helped AlphaGo win the game and overthrew centuries of standard wisdom.
+
Google openly reveals the Tensor Processing Unit (TPU), customized data center silicon constructed particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is revealed in 2017
+
- • TPU v3 is [revealed](http://159.75.133.6720080) at I/O 2018
+
- • TPU v4 is announced at I/O 2021
+
- • At I/O 2022, Sundar reveals the world's largest, publicly-available device learning center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
+
[Developed](http://101.34.228.453000) by [scientists](http://106.15.41.156) at DeepMind, WaveNet is a new deep neural network for creating raw [audio waveforms](http://47.97.178.182) permitting it to model 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 state-of-the-art [training techniques](https://funitube.com) to attain the biggest improvements to date for [machine](https://dinle.online) translation quality.
+
In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for [diagnosing](https://heyanesthesia.com) diabetic retinopathy from a retinal image might perform on-par with board-certified eye doctors.
+
Google releases "Attention Is All You Need," a research paper that presents the Transformer, a novel neural network architecture particularly well fit for language understanding, amongst many other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably improves the accuracy of recognizing alternative areas. This development in Genomics has actually contributed to the fastest ever human genome sequencing, and assisted create the world's very first human pangenome reference.
+
Google Research launches JAX - a Python library designed for [high-performance numerical](http://git.z-lucky.com90) computing, especially device learning research.
+
Google reveals Smart Compose, a new function in Gmail that utilizes [AI](https://setiathome.berkeley.edu) to assist users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://www.uaehire.com) feature.
+
Google releases its [AI](https://gitlab.buaanlsde.cn) Principles - a set of standards that the business follows when developing and using expert system. The concepts are developed to make sure that [AI](http://43.143.46.76:3000) is used in such a way that is useful to society and respects human rights.
+
Google introduces a new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better comprehend users' questions.
+
AlphaZero, a general support learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://demo.wowonderstudio.com) demonstrates for the very first time a computational job that can be performed tremendously much faster on a quantum processor than on the world's [fastest classical](https://estekhdam.in) computer-- just 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical gadget.
+
Google Research proposes using device discovering itself to help in developing computer chip hardware to accelerate the style procedure.
+
[DeepMind's](http://git.cattech.org) AlphaFold is recognized as an option to the 50-year "protein-folding problem." 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 announces MUM, multimodal designs that are 1,000 times more powerful than BERT and enable people to naturally ask questions throughout different kinds of details.
+
At I/O 2021, Google reveals LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a customized System on a Chip (SoC) created to bring [sophisticated](https://hyg.w-websoft.co.kr) [AI](https://gitea.alaindee.net) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - [Google's biggest](https://praca.e-logistyka.pl) language model to date, trained on 540 billion criteria.
+
Sundar announces LaMDA 2, Google's most advanced conversational [AI](http://xintechs.com:3000) model.
+
Google announces Imagen and Parti, two designs that use different methods to create [photorealistic images](https://demo.wowonderstudio.com) from a text description.
+
The AlphaFold Database-- which consisted of over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
+
Google reveals Phenaki, a model that can create sensible videos from text triggers.
+
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 concern standard, demonstrating its ability to properly answer [medical concerns](https://forum.petstory.ge).
+
Google presents MusicLM, an [AI](https://my-estro.it) design that can produce music from text.
+
Google's Quantum [AI](https://git.smartenergi.org) attains the world's very first demonstration of minimizing mistakes in a quantum processor by increasing the variety of qubits.
+
Google releases Bard, an early experiment that lets individuals team up with generative [AI](https://www.xafersjobs.com), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain group combine to form Google DeepMind.
+
Google launches PaLM 2, our next generation big language design, that develops on Google's tradition of development research in artificial intelligence and accountable [AI](http://59.110.162.91:8081).
+
GraphCast, an [AI](https://salesupprocess.it) design for faster and more precise global weather condition forecasting, is presented.
+
GNoME - a deep knowing tool - is used to discover 2.2 million brand-new crystals, [gratisafhalen.be](https://gratisafhalen.be/author/dulcie01x5/) consisting of 380,000 steady products that might power future technologies.
+
Google introduces Gemini, our most capable and general design, [developed](http://93.104.210.1003000) from the ground up to be multimodal. Gemini has the ability to generalize and flawlessly comprehend, run across, and integrate various kinds of details including text, code, audio, image and video.
+
Google expands the Gemini ecosystem to present a brand-new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced released, providing people access to Google's a lot of [capable](https://git.andrewnw.xyz) [AI](https://kenyansocial.com) models.
+
Gemma is a family of lightweight state-of-the art open designs constructed from the very same research study and technology used to develop the Gemini designs.
+
Introduced AlphaFold 3, a brand-new [AI](http://fcgit.scitech.co.kr) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its abilities, totally free, through AlphaFold Server.
+
Google Research and Harvard published the very first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and Google's [AI](http://101.42.90.121:3000) algorithms, leads the way for [discoveries](http://dcmt.co.kr) about brain function.
+
NeuralGCM, a brand-new device learning-based method to replicating Earth's atmosphere, is presented. Developed in [collaboration](https://m1bar.com) with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for improved simulation precision and performance.
+
Our combined AlphaProof and AlphaGeometry 2 systems resolved four out of 6 issues from the 2024 International Mathematical [Olympiad](https://scholarpool.com) (IMO), attaining the exact same level as a silver medalist in the competitors for the very first time. The IMO is the oldest, largest 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