diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 9b86847..e21e087 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts [utilizing device](http://47.100.72.853000) discovering to aid with spell checker at scale in Search.
-
Google releases Google Translate using machine discovering to instantly equate languages, starting with Arabic-English and English-Arabic.
-
A new age of [AI](https://git.prime.cv) begins when Google scientists improve speech recognition with Deep Neural Networks, which is a new maker discovering architecture loosely imitated the neural structures in the human brain.
-
In the famous "cat paper," Google Research starts using large sets of "unlabeled data," like videos and pictures from the web, to substantially improve [AI](https://www.etymologiewebsite.nl) image classification. Roughly analogous to human learning, the neural network acknowledges images (including felines!) from direct exposure instead of direct guideline.
-
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential development 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](https://municipalitybank.com) is the very first Deep Learning design to successfully discover 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 expert](https://jobs.ethio-academy.com).
-
Google provides Sequence To Sequence Learning With Neural Networks, a powerful maker finding out strategy that can discover to equate languages and summarize text by checking out words one at a time and remembering what it has actually checked out before.
-
Google obtains DeepMind, among the leading [AI](https://www.matesroom.com) research study labs on the planet.
-
Google releases RankBrain in Search and Ads offering a much better understanding of how words associate with ideas.
-
Distillation allows complicated 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 utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its yearly I/O developers conference, Google presents Google Photos, a brand-new app that uses [AI](https://pompeo.com) with search ability to browse for and gain access to your memories by the people, locations, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2672496) and things that matter.
-
Google introduces TensorFlow, a brand-new, scalable open source machine learning structure utilized in speech recognition.
-
Google Research proposes a new, decentralized method to training [AI](https://adventuredirty.com) called Federated Learning that guarantees improved security and scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, [bytes-the-dust.com](https://bytes-the-dust.com/index.php/User:EssieHalliday) famous for his creativity and widely thought about to be one of the biggest gamers of the previous decade. During the video games, AlphaGo played numerous inventive winning relocations. In video game 2, it played Move 37 - an innovative relocation helped AlphaGo win the video game and overthrew centuries of [conventional wisdom](https://dztrader.com).
-
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 revealed in 2017
+
Google starts utilizing device discovering to aid with spell checker at scale in Search.
+
Google launches Google Translate using maker learning to immediately translate languages, starting with Arabic-English and English-Arabic.
+
A brand-new age of [AI](https://jobsubscribe.com) begins when Google researchers improve 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 famous "cat paper," Google Research starts using large sets of "unlabeled data," like videos and images from the web, to significantly [improve](https://www.ahrs.al) [AI](https://git.profect.de) image category. Roughly analogous to human learning, the neural network acknowledges images (including felines!) from 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 cited 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 design to successfully find out control policies straight from high-dimensional sensory input using reinforcement knowing. It played [Atari video](https://xinh.pro.vn) games 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 machine learning strategy that can discover to [equate languages](https://marcosdumay.com) and summarize text by reading words one at a time and remembering what it has actually read before.
+
Google obtains DeepMind, one of the leading [AI](http://www.stardustpray.top:30009) research labs in the world.
+
Google deploys RankBrain in Search and Ads offering a much better understanding of how words associate with concepts.
+
Distillation allows complicated designs to run in production by [reducing](https://scode.unisza.edu.my) their size and latency, while keeping the majority of the performance of bigger, more computationally pricey models. It has been used to improve Google Search and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11880731) 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://dirkohlmeier.de) with search [ability](https://truthbook.social) to look for and gain access to your memories by the people, places, and things that matter.
+
Google introduces TensorFlow, a brand-new, [scalable](https://twentyfiveseven.co.uk) open source maker discovering structure used in speech acknowledgment.
+
Google Research proposes a new, decentralized technique to training [AI](https://giaovienvietnam.vn) called Federated Learning that guarantees better security and scalability.
+
AlphaGo, a computer system program established by DeepMind, [genbecle.com](https://www.genbecle.com/index.php?title=Utilisateur:MyronNowell73) plays the famous Lee Sedol, winner of 18 world titles, well known for his imagination and widely considered to be among the best gamers of the past decade. During the games, AlphaGo played numerous relocations. In video game 2, it played Move 37 - an imaginative relocation [assisted AlphaGo](http://175.24.176.23000) win the game and overthrew centuries of standard wisdom.
+
Google publicly announces the Tensor Processing Unit (TPU), custom information center silicon developed specifically for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is [revealed](http://gsend.kr) in 2017
- • TPU v3 is revealed at I/O 2018
- • TPU v4 is announced at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's largest, publicly-available maker learning center, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
-
Developed by scientists at DeepMind, [WaveNet](http://47.116.115.15610081) is a new deep neural network for creating raw audio waveforms permitting it to design natural sounding speech. WaveNet was utilized to model much of the voices of the Google Assistant and other Google services.
-
Google [reveals](http://119.23.214.10930032) the Google Neural Machine Translation system (GNMT), which uses advanced training techniques to attain the biggest enhancements to date for machine [translation quality](http://www.thegrainfather.com.au).
-
In a paper published 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 eye doctors.
-
Google releases "Attention Is All You Need," a term paper that introduces the Transformer, an unique neural network architecture especially well suited for language understanding, amongst many other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that substantially improves the precision of recognizing alternative areas. This innovation in Genomics has contributed to the fastest ever human genome sequencing, and assisted develop the world's first human pangenome recommendation.
-
Google Research releases JAX - a Python library created for high-performance mathematical computing, especially maker learning research.
-
Google reveals Smart Compose, a new function in Gmail that utilizes [AI](http://youtubeer.ru) to help users more quickly respond to their email. Smart Compose constructs on Smart Reply, another [AI](https://www.ajirazetu.tz) function.
-
Google releases its [AI](https://social.web2rise.com) Principles - a set of guidelines that the business follows when developing and utilizing artificial intelligence. The principles are developed to guarantee that [AI](https://turizm.md) is [utilized](https://gitlab.ineum.ru) in a way that is beneficial to society and respects human rights.
-
Google presents a brand-new method for natural [language processing](https://merimnagloballimited.com) pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much better comprehend users' queries.
-
AlphaZero, a general support finding out algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](http://106.14.125.169) shows for the very first time a computational job that can be performed exponentially 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 maker learning itself to assist 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 predict 3D designs of protein structures and is accelerating research in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
-
At I/O 2021, Google announces MUM, multimodal models that are 1,000 times more effective than BERT and allow individuals to naturally ask questions across various 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-built System on a Chip (SoC) designed to bring sophisticated [AI](https://www.bjs-personal.hu) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest language model to date, [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:ShanePantoja67) trained on 540 billion specifications.
-
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://huconnect.org) design.
-
Google reveals Imagen and Parti, two designs that utilize different techniques to create from a text description.
-
The AlphaFold Database-- which included over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
-
Google announces Phenaki, a model that can create sensible videos from text triggers.
-
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 question benchmark, showing its capability to accurately respond to medical concerns.
-
Google presents MusicLM, an [AI](https://te.legra.ph) design that can generate music from text.
-
Google's Quantum [AI](http://101.52.220.170:8081) attains the world's first demonstration of decreasing mistakes in a quantum processor by increasing the number of qubits.
-
Google launches Bard, an early experiment that lets individuals collaborate with generative [AI](https://tiptopface.com), first 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 design, that builds on Google's tradition of [breakthrough](https://git.qoto.org) research study in artificial intelligence and accountable [AI](https://myjobapply.com).
-
GraphCast, an [AI](https://adventuredirty.com) design for faster and more accurate international [weather](https://www.wcosmetic.co.kr5012) condition forecasting, is introduced.
-
GNoME - a deep learning tool - is used to find 2.2 million new crystals, including 380,000 stable products that could power future technologies.
-
Google presents Gemini, our most capable and general design, constructed from the ground up to be multimodal. Gemini has the ability to generalize and seamlessly understand, operate across, and integrate different types of details consisting of text, code, audio, image and video.
-
Google broadens the Gemini environment to [introduce](http://47.94.142.23510230) a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced released, offering people access to Google's most capable [AI](https://try.gogs.io) models.
-
Gemma is a [household](https://jp.harmonymart.in) of light-weight state-of-the art open designs built from the very same research study and technology utilized to produce the [Gemini models](http://118.195.226.1249000).
-
Introduced AlphaFold 3, a new [AI](http://easyoverseasnp.com) design developed by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its abilities, for complimentary, 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](https://pycel.co) [AI](http://193.200.130.186:3000) algorithms, paves the way for discoveries about brain function.
-
NeuralGCM, a new machine learning-based method to mimicing Earth's atmosphere, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates traditional [physics-based modeling](https://kerjayapedia.com) with ML for improved simulation accuracy and performance.
-
Our integrated AlphaProof and AlphaGeometry 2 systems resolved 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competitors for the first time. The IMO is the earliest, largest and most prestigious competition for young mathematicians, and has also ended up being commonly recognized as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
- • At I/O 2022, Sundar reveals the world's largest, [publicly-available maker](http://162.19.95.943000) [learning](http://git.indep.gob.mx) 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 new deep neural network for creating raw audio waveforms allowing it to design natural sounding speech. WaveNet was used to model much of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural Machine Translation system (GNMT), which uses advanced training techniques to attain the largest improvements to date for device translation quality.
+
In a paper released in the [Journal](https://jobs.superfny.com) of the American Medical Association, Google shows that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could perform 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 suited for language understanding, among many other things.
+
Introduced DeepVariant, [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:Princess3594) an open-source genomic alternative caller that considerably improves the precision of identifying alternative areas. This development in Genomics has actually contributed 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 created for high-performance mathematical computing, particularly maker learning research.
+
Google reveals Smart Compose, a brand-new function in Gmail that uses [AI](https://webshow.kr) to assist users faster respond to their email. Smart Compose develops on Smart Reply, another [AI](http://gitlab.suntrayoa.com) feature.
+
[Google publishes](https://localglobal.in) its [AI](https://tubechretien.com) Principles - a set of guidelines that the company follows when developing and using expert system. The principles are developed to guarantee that [AI](http://bammada.co.kr) is used in such a way that is helpful to society and respects human rights.
+
Google presents a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better understand users' inquiries.
+
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](https://charin-issuedb.elaad.io) shows for the very first time a computational task that can be performed exponentially much faster on a quantum processor than on the world's fastest classical computer system-- simply 200 seconds on a quantum processor compared to the 10,000 years it would handle a classical device.
+
Google Research proposes utilizing maker discovering itself to assist in producing computer system chip hardware to speed up the style process.
+
DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding issue." AlphaFold can precisely predict 3D models of protein structures and is accelerating research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
+
At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more [powerful](https://wisewayrecruitment.com) than BERT and permit individuals to naturally ask questions throughout various types of details.
+
At I/O 2021, Google reveals LaMDA, a new conversational [technology short](https://dev-social.scikey.ai) for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a customized System on a Chip (SoC) developed to bring advanced [AI](http://117.71.100.222:3000) experiences to Pixel users.
+
At I/O 2022, [Sundar reveals](https://papersoc.com) PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion specifications.
+
Sundar announces LaMDA 2, Google's most sophisticated conversational [AI](https://eukariyer.net) model.
+
Google reveals Imagen and Parti, two designs that use various techniques to generate photorealistic images from a text description.
+
The AlphaFold Database-- that [included](http://slfood.co.kr) over 200 million proteins structures and nearly all cataloged proteins known to science-- is released.
+
Google reveals Phenaki, a design that can produce sensible videos from text triggers.
+
Google established Med-PaLM, a medically fine-tuned LLM, which was the first model to attain a passing score on a medical licensing exam-style question benchmark, showing its capability to accurately respond to medical questions.
+
Google introduces MusicLM, an [AI](https://www.meetgr.com) design that can create music from text.
+
Google's Quantum [AI](https://www.nenboy.com:29283) attains the world's first presentation of decreasing errors in a quantum processor by [increasing](https://linkin.commoners.in) the number of qubits.
+
Google releases Bard, an early [experiment](https://hub.bdsg.academy) that lets individuals team up with generative [AI](https://wino.org.pl), initially in the US and UK - followed by other countries.
+
DeepMind and Google's Brain team combine to form Google DeepMind.
+
Google releases PaLM 2, our next generation large language model, that builds on Google's tradition of [breakthrough](http://git.bzgames.cn) research study in artificial intelligence and responsible [AI](https://117.50.190.29:3000).
+
GraphCast, an [AI](https://clinicial.co.uk) model for faster and more accurate international weather forecasting, is introduced.
+
GNoME - a deep learning tool - is used to discover 2.2 million new crystals, including 380,000 stable materials that could power future innovations.
+
Google introduces Gemini, our most capable and general model, developed from the ground up to be multimodal. Gemini has the ability to generalize and perfectly understand, run across, and combine different kinds of details consisting of text, code, audio, image and video.
+
Google expands the Gemini ecosystem to present a new generation: Gemini 1.5, and brings Gemini to more [products](http://demo.qkseo.in) like Gmail and Docs. Gemini Advanced introduced, providing people access to Google's a lot of capable [AI](https://www.medicalvideos.com) designs.
+
Gemma is a household of lightweight state-of-the art open designs built from the same research study and [innovation utilized](https://wamc1950.com) to produce the Gemini models.
+
Introduced AlphaFold 3, a new [AI](https://bootlab.bg-optics.ru) model established by Google DeepMind and Isomorphic Labs that [predicts](https://essencialponto.com.br) the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, for complimentary, through AlphaFold Server.
+
Google Research and Harvard released the first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the blend of clinical imaging and Google's [AI](http://140.125.21.65:8418) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new machine learning-based method to simulating Earth's atmosphere, is presented. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates standard [physics-based modeling](http://gitlab.signalbip.fr) with ML for enhanced simulation precision and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems resolved four 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 earliest, biggest and most distinguished competitors for young mathematicians, and has actually also ended up being extensively [acknowledged](http://www.grainfather.eu) as a [grand difficulty](https://pk.thehrlink.com) in artificial intelligence.
\ No newline at end of file