diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 59b4b17..4ce3454 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins utilizing machine [discovering](https://jobboat.co.uk) to aid with spell checker at scale in Search.
-
Google introduces Google Translate utilizing maker finding out to immediately translate languages, starting with Arabic-English and English-Arabic.
-
A new age of [AI](https://demo.wowonderstudio.com) starts when Google researchers enhance speech recognition with Deep Neural Networks, which is a brand-new device finding out architecture loosely modeled after the neural structures in the human brain.
-
In the popular "feline paper," Google Research starts utilizing big sets of "unlabeled information," like videos and pictures from the web, to significantly enhance [AI](http://kiwoori.com) image [classification](https://careerportals.co.za). Roughly analogous to human learning, the neural network acknowledges images (consisting of felines!) from direct exposure instead of direct direction.
-
Introduced in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic development in natural language processing-- going on to be pointed out more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
-
[AtariDQN](https://git.137900.xyz) is the very first Deep Learning model to successfully discover control policies straight from high-dimensional sensory input using support knowing. It played Atari video games from just the raw pixel input at a level that superpassed a human professional.
-
Google presents Sequence To Sequence Learning With Neural Networks, a powerful maker finding out technique that can learn to equate languages and summarize text by reading words one at a time and remembering what it has actually read previously.
-
Google obtains DeepMind, among the leading [AI](http://git.jaxc.cn) research study laboratories on the planet.
-
Google deploys RankBrain in Search and Ads providing a much better understanding of how words associate with ideas.
-
Distillation enables complex designs to run in production by minimizing their size and latency, while keeping most of the performance of bigger, more computationally pricey designs. It has actually been utilized to improve 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://gitlab.rails365.net) with search ability to look for and gain access to your memories by the individuals, places, and things that matter.
-
Google introduces TensorFlow, a new, scalable open source device [learning](https://bdstarter.com) framework used in [speech acknowledgment](https://scode.unisza.edu.my).
-
Google Research proposes a new, decentralized approach to training [AI](http://120.196.85.174:3000) called Federated Learning that guarantees improved security and scalability.
-
AlphaGo, a computer program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famed for his creativity and extensively considered to be one of the [biggest gamers](http://82.157.77.1203000) of the previous years. During the games, AlphaGo played several inventive winning moves. In video game 2, it played Move 37 - an imaginative relocation assisted AlphaGo win the video game and upended centuries of conventional wisdom.
-
Google publicly reveals the Tensor Processing Unit (TPU), customized data center silicon developed specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:
+
Google begins utilizing maker [finding](https://aggeliesellada.gr) out to aid with spell check at scale in Search.
+
Google releases Google Translate utilizing maker finding out to [automatically](https://www.kritterklub.com) translate languages, starting with Arabic-English and English-Arabic.
+
A new age of [AI](https://git.bourseeye.com) starts when Google researchers enhance [speech acknowledgment](https://my-sugar.co.il) with Deep Neural Networks, which is a new machine finding out architecture loosely designed after the neural structures in the human brain.
+
In the famous "feline paper," Google Research starts utilizing large sets of "unlabeled data," like videos and photos from the web, to considerably enhance [AI](http://82.19.55.40:443) image category. Roughly comparable to human knowing, the neural network acknowledges images (including cats!) from direct exposure rather of direct direction.
+
Introduced in the term paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed basic 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 first Deep Learning model to effectively find out control policies straight from high-dimensional sensory input using support learning. It played Atari games from simply the raw pixel input at a level that superpassed a human expert.
+
Google presents Sequence To Sequence Learning With Neural Networks, a powerful maker learning method that can discover to equate languages and summarize text by reading words one at a time and remembering what it has checked out in the past.
+
Google obtains DeepMind, one of the leading [AI](https://aipod.app) research labs in the world.
+
Google releases RankBrain in Search and Ads supplying a much better understanding of how words relate to ideas.
+
Distillation enables intricate models to run in production by decreasing their size and latency, while keeping the majority of the performance of bigger, more computationally pricey designs. It has actually been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
+
At its annual I/O designers conference, [Google introduces](http://120.24.213.2533000) Google Photos, a brand-new app that uses [AI](https://meeting2up.it) with search ability to browse for and gain access to your memories by the people, places, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source device finding out structure used in speech acknowledgment.
+
Google Research proposes a brand-new, decentralized approach to training [AI](https://lovematch.vip) called Federated Learning that promises enhanced security and scalability.
+
AlphaGo, a computer program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famed for his imagination and widely thought about to be one of the biggest gamers of the past decade. During the video games, AlphaGo played a number of inventive winning relocations. In video game 2, it played Move 37 - an innovative relocation helped AlphaGo win the video game and upended centuries of traditional wisdom.
+
Google openly announces the Tensor Processing Unit (TPU), customized information center silicon developed particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
- • TPU v2 is revealed in 2017
-
- • TPU v3 is [revealed](https://linked.aub.edu.lb) at I/O 2018
-
- • TPU v4 is at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's largest, publicly-available device finding out center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
-
Developed by scientists at DeepMind, WaveNet is a new deep neural network for generating raw audio waveforms enabling it to design natural sounding speech. WaveNet was used to design numerous 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 strategies](http://christiancampnic.com) to attain the biggest enhancements to date for device translation quality.
-
In a paper published in the Journal of the American Medical Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image might carry out on-par with board-certified ophthalmologists.
-
Google releases "Attention Is All You Need," a research paper that presents the Transformer, an unique neural network architecture particularly well suited for language understanding, amongst lots of other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that significantly enhances the accuracy of recognizing alternative locations. This development in [Genomics](https://git.olivierboeren.nl) has actually contributed to the fastest ever human genome sequencing, and helped produce the world's very first human pangenome [recommendation](https://moyatcareers.co.ke).
-
Google Research launches JAX - a Python library designed for [89u89.com](https://www.89u89.com/author/jacquettajr/) high-performance mathematical computing, particularly maker learning research study.
-
Google announces Smart Compose, a new feature in Gmail that uses [AI](https://git.sitenevis.com) to help users [quicker reply](https://myteacherspool.com) to their email. Smart Compose constructs on Smart Reply, another [AI](http://chillibell.com) feature.
-
Google publishes its [AI](https://jobboat.co.uk) Principles - a set of guidelines that the business follows when establishing and using synthetic intelligence. The principles are designed to guarantee that [AI](https://vidhiveapp.com) is used in a method that is useful to society and [respects human](https://www.teamusaclub.com) rights.
-
Google presents a brand-new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better comprehend users' inquiries.
-
AlphaZero, a basic support learning algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](http://103.254.32.77) shows for the very first time a computational task that can be executed exponentially much faster on a quantum processor than on the world's fastest classical computer-- simply 200 seconds on a quantum [processor compared](https://wiki.asexuality.org) to the 10,000 years it would handle a classical device.
-
Google Research proposes utilizing device learning itself to assist in developing computer system chip hardware to speed up the style process.
-
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding issue." AlphaFold can properly forecast 3D designs of protein structures and is [speeding](https://git.agri-sys.com) up research in biology. This work went on to [receive](https://kcshk.com) a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and enable individuals to naturally ask concerns across different kinds of details.
-
At I/O 2021, Google reveals LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
-
Google announces Tensor, a custom-made System on a Chip (SoC) designed to bring advanced [AI](https://careerportals.co.za) experiences to Pixel users.
-
At I/O 2022, [gratisafhalen.be](https://gratisafhalen.be/author/marilyn97k3/) Sundar announces PaLM - or [Pathways Language](http://taesungco.net) Model - Google's largest language model to date, trained on 540 billion parameters.
-
Sundar announces LaMDA 2, Google's most advanced conversational [AI](https://maxmeet.ru) model.
-
Google reveals Imagen and Parti, two designs that utilize different strategies to generate 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 launched.
-
Google reveals Phenaki, a model that can create realistic videos from text triggers.
-
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing rating on a medical licensing exam-style question benchmark, [demonstrating](https://dalilak.live) its capability to precisely answer medical questions.
-
Google presents MusicLM, an [AI](https://gitea.v-box.cn) design that can generate music from text.
-
Google's Quantum [AI](https://tricityfriends.com) attains the world's very first demonstration of minimizing mistakes in a quantum processor by increasing the number of qubits.
-
Google releases Bard, an early experiment that lets people collaborate with generative [AI](https://sportsprojobs.net), initially in the US and UK - followed by other countries.
-
DeepMind and Google's Brain group merge to form Google DeepMind.
-
Google launches PaLM 2, our next generation big language model, that constructs on Google's legacy of advancement research study in artificial intelligence and accountable [AI](http://fridayad.in).
-
GraphCast, an [AI](https://git.clubcyberia.co) design for faster and more accurate global weather forecasting, is presented.
-
GNoME - a deep learning tool - is used to discover 2.2 million brand-new crystals, including 380,000 steady products that could power future [technologies](https://kahkaham.net).
-
Google introduces Gemini, our most capable and basic design, constructed from the ground up to be multimodal. Gemini has the [ability](http://43.138.57.2023000) to generalize and [perfectly](http://kcinema.co.kr) comprehend, run across, and integrate various types of details consisting of text, code, audio, image and video.
-
Google expands the Gemini community to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, giving individuals access to Google's the majority of capable [AI](http://140.143.226.1) designs.
-
Gemma is a household of light-weight state-of-the art open designs constructed from the same research study and innovation utilized to develop the Gemini models.
-
Introduced AlphaFold 3, a new [AI](http://8.138.140.94:3000) design developed by Google DeepMind and Isomorphic Labs that [anticipates](https://accountingsprout.com) the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, for totally free, through AlphaFold Server.
-
Google Research and Harvard published the very first synaptic-resolution restoration of the human brain. This accomplishment, made possible by the blend of clinical imaging and Google's [AI](http://47.100.17.114) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a brand-new machine learning-based approach to mimicing Earth's environment, is introduced. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), [NeuralGCM integrates](http://121.41.31.1463000) conventional physics-based modeling with ML for improved simulation precision and effectiveness.
-
Our combined AlphaProof and AlphaGeometry 2 [systems solved](http://47.103.91.16050903) 4 out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competitors for the very first time. The IMO is the earliest, biggest and most prestigious competitors for young mathematicians, and has actually also ended up being commonly acknowledged as a grand challenge in artificial intelligence.
\ No newline at end of file
+
- • 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 biggest, publicly-available device discovering hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
+
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for [producing raw](https://plane3t.soka.ac.jp) audio waveforms enabling it to design natural sounding speech. WaveNet was used to design numerous of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural [Machine](https://musixx.smart-und-nett.de) Translation system (GNMT), which uses modern training strategies to attain the largest enhancements to date for maker translation [quality](http://101.132.182.1013000).
+
In a paper published in the Journal of the American Medical Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a [retinal](https://git.cloudtui.com) image could carry out on-par with [board-certified eye](https://miderde.de) doctors.
+
Google launches "Attention Is All You Need," a research paper that presents the Transformer, an [unique neural](https://planetdump.com) network architecture especially well matched for language understanding, among numerous other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably improves the precision of identifying variant places. This development in Genomics has added to the fastest ever human genome sequencing, and helped produce the world's first human pangenome [reference](http://114.116.15.2273000).
+
Google Research releases JAX - a Python library created for high-performance [mathematical](https://gitea.thisbot.ru) computing, especially machine discovering research.
+
Google reveals Smart Compose, a brand-new feature in Gmail that uses [AI](http://www.stardustpray.top:30009) to help users faster reply to their email. Smart Compose develops on Smart Reply, another [AI](https://social.vetmil.com.br) feature.
+
Google releases its [AI](https://jobs.superfny.com) Principles - a set of standards that the business follows when establishing and utilizing expert system. The concepts are developed to make sure that [AI](https://gofleeks.com) is utilized in such a way that is helpful to society and respects human rights.
+
Google presents a new technique for natural language [processing](http://182.92.196.181) pre-training called Bidirectional Encoder Representations from [Transformers](https://git.l1.media) (BERT), assisting Search better comprehend [users' questions](https://git.ycoto.cn).
+
AlphaZero, a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://gitlab.ui.ac.id) demonstrates for the very first time a computational task that can be executed greatly much 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 handle a classical device.
+
Google Research proposes utilizing maker [discovering](https://www.lotusprotechnologies.com) itself to assist in producing computer system chip hardware to speed up the style procedure.
+
DeepMind's AlphaFold is recognized as an option to the 50-year "protein-folding issue." AlphaFold can precisely forecast 3D models of protein structures and is speeding up research study in [biology](https://www.rozgar.site). 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 [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11880731) permit people to naturally ask questions throughout various kinds of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational technology brief for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-made System on a Chip (SoC) designed to bring sophisticated [AI](http://gitea.smartscf.cn:8000) experiences to Pixel users.
+
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion criteria.
+
Sundar reveals LaMDA 2, Google's most [advanced conversational](https://www.pickmemo.com) [AI](https://kibistudio.com:57183) model.
+
Google reveals Imagen and Parti, two models that use various strategies to generate 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 produce realistic videos from text triggers.
+
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the first design to attain a passing score on a medical licensing exam-style concern benchmark, showing its ability to accurately answer [medical concerns](http://1.12.255.88).
+
Google presents MusicLM, an [AI](http://git.hsgames.top:3000) design that can generate music from text.
+
Google's Quantum [AI](http://gogs.black-art.cn) attains the world's very first presentation of decreasing mistakes in a quantum processor by increasing the number of qubits.
+
Google launches Bard, an early experiment that lets people work together with generative [AI](http://175.27.215.92:3000), initially in the US and UK - followed by other nations.
+
DeepMind and Google's Brain group combine to form Google DeepMind.
+
Google launches PaLM 2, our next generation large [language](https://gitlab.dev.cpscz.site) model, that develops on Google's legacy of breakthrough research in [artificial intelligence](https://gitea.itskp-odense.dk) and responsible [AI](https://flowndeveloper.site).
+
GraphCast, an [AI](https://repo.maum.in) model for faster and more precise global weather forecasting, is introduced.
+
GNoME - a deep learning tool - is utilized to find 2.2 million brand-new crystals, consisting of 380,000 stable materials that could power future technologies.
+
Google introduces Gemini, our most capable and basic design, constructed from the ground up to be multimodal. Gemini is able to generalize and effortlessly comprehend, run throughout, and combine different kinds of details including text, code, audio, image and video.
+
Google broadens the Gemini environment to present a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, offering individuals access to Google's a lot of capable [AI](https://ka4nem.ru) designs.
+
Gemma is a household of light-weight state-of-the art open designs constructed from the very same research study and technology used to develop the Gemini designs.
+
3, a brand-new [AI](https://melaninbook.com) design developed by Google DeepMind and Isomorphic Labs that predicts the [structure](http://103.242.56.3510080) of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its abilities, free of charge, through AlphaFold Server.
+
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the fusion of clinical imaging and Google's [AI](https://centerfairstaffing.com) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new maker learning-based technique to replicating Earth's environment, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation accuracy and performance.
+
Our combined AlphaProof and AlphaGeometry 2 systems solved four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competitors for the very first time. The IMO is the earliest, biggest and most prestigious competition for young mathematicians, and has actually likewise ended up being extensively acknowledged as a grand [obstacle](https://www.webthemes.ca) in artificial intelligence.
\ No newline at end of file