diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 15d9c02..4206a26 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins using [device learning](https://iklanbaris.id) to aid with spell checker at scale in Search.
-
Google releases Google Translate using [maker learning](http://www.colegio-sanandres.cl) to immediately equate languages, starting with Arabic-English and English-Arabic.
-
A brand-new era of [AI](https://naijascreen.com) begins when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a brand-new device learning architecture loosely imitated the neural structures in the human brain.
-
In the popular "cat paper," Google Research begins utilizing large sets of "unlabeled information," like videos and photos from the web, to considerably enhance [AI](http://101.35.184.155:3000) image category. Roughly analogous to human learning, the neural network [acknowledges](https://activitypub.software) images (including felines!) from direct exposure instead of direct guideline.
-
Introduced in the research 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 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](http://103.254.32.77) input using [support learning](https://www.calogis.com). It [played Atari](https://somo.global) games from just the raw pixel input at a level that superpassed a human expert.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective machine learning method that can discover to equate languages and sum up text by reading words one at a time and remembering what it has read previously.
-
Google obtains DeepMind, among the [leading](http://106.52.215.1523000) [AI](https://palkwall.com) research study labs on the planet.
-
Google deploys [RankBrain](https://gitea.baxir.fr) in Search and Ads offering a better understanding of how words connect to principles.
-
Distillation permits complicated designs to run in production by lowering their size and latency, while keeping the majority of the performance of larger, more computationally pricey designs. It has actually been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.
-
At its yearly I/O developers conference, Google introduces Google Photos, a new app that uses [AI](https://rami-vcard.site) with search capability to search for and gain access to your memories by the people, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source device finding out framework used in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized technique to training [AI](https://twoplustwoequal.com) called Federated Learning that [assures](http://221.238.85.747000) better security and scalability.
-
AlphaGo, a computer [program established](https://livesports808.biz) by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, famous for his imagination and extensively considered to be one of the best players of the past decade. During the video games, AlphaGo played numerous inventive winning [relocations](https://yaseen.tv). In game 2, it played Move 37 - a creative move assisted AlphaGo win the game and upended centuries of conventional knowledge.
-
Google openly reveals the Tensor Processing Unit (TPU), custom data center silicon built particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
-
- • TPU v2 is announced 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 center, 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 allowing it to design natural sounding speech. WaveNet was used to design a lot of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine [Translation](https://naijascreen.com) system (GNMT), which utilizes cutting edge training techniques to attain the biggest improvements to date for maker translation quality.
-
In a paper published 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 eye doctors.
-
Google releases "Attention Is All You Need," a term paper that presents the Transformer, a novel neural network architecture particularly well suited for language understanding, among numerous other things.
-
Introduced DeepVariant, an open-source genomic variant caller that substantially enhances the precision of recognizing variant locations. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, and helped produce the world's very first human pangenome recommendation.
-
Google Research launches JAX - a Python library designed for high-performance numerical computing, particularly device discovering research.
-
Google announces Smart Compose, a brand-new feature in Gmail that utilizes [AI](https://git.jordanbray.com) to help users more quickly reply to their email. Smart Compose builds on Smart Reply, another [AI](https://cheere.org) feature.
-
Google publishes its [AI](https://network.janenk.com) Principles - a set of guidelines that the business follows when establishing and [utilizing synthetic](https://hireforeignworkers.ca) intelligence. The concepts are designed to make sure that [AI](http://123.111.146.235:9070) is used in such a way that is advantageous to society and [respects human](https://cyberdefenseprofessionals.com) rights.
-
Google presents a brand-new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better comprehend users' queries.
-
AlphaZero, a basic support discovering algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](https://linuxreviews.org) shows for the first time a computational task that can be carried out significantly 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 take on a classical device.
-
Google Research proposes utilizing maker discovering itself to help in creating computer chip hardware to speed up the design process.
-
DeepMind's is recognized as a service to the 50-year "protein-folding problem." AlphaFold can properly anticipate 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 models 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 announces LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a custom-made System on a Chip (SoC) created to bring advanced [AI](https://pittsburghpenguinsclub.com) experiences to Pixel users.
-
At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion criteria.
-
Sundar reveals LaMDA 2, Google's most innovative conversational [AI](https://moontube.goodcoderz.com) model.
-
Google reveals Imagen and Parti, two designs that utilize various strategies to produce photorealistic images from a text description.
-
The AlphaFold Database-- which consisted of 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 developed Med-PaLM, a clinically fine-tuned LLM, which was the very first design to attain a passing score on a medical licensing exam-style question standard, showing its ability to precisely answer medical questions.
-
Google presents MusicLM, an [AI](http://kuzeydogu.ogo.org.tr) design that can create music from text.
-
Google's Quantum [AI](https://git.iws.uni-stuttgart.de) attains the world's first presentation of reducing 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://git.rtd.one), initially in the US and UK - followed by other nations.
-
DeepMind and Google's Brain team merge to form Google DeepMind.
-
Google releases PaLM 2, our next generation large language model, that builds on [Google's tradition](https://git.qoto.org) of development research study in artificial intelligence and responsible [AI](https://aggm.bz).
-
GraphCast, an [AI](https://neejobs.com) model for faster and [garagesale.es](https://www.garagesale.es/author/garrettbrid/) more accurate worldwide weather condition forecasting, is presented.
-
GNoME - a deep learning tool - is utilized to find 2.2 million new crystals, including 380,000 stable materials that might power future innovations.
-
Google presents Gemini, our most capable and general model, constructed from the ground up to be multimodal. Gemini is able to generalize and effortlessly understand, operate across, and [combine](https://try.gogs.io) different kinds of details consisting of text, code, audio, image and video.
-
Google broadens the Gemini community to [introduce](http://kanghexin.work3000) a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced launched, giving people access to Google's a lot of capable [AI](https://gitea.freshbrewed.science) models.
-
Gemma is a family of light-weight state-of-the art open models constructed from the exact same research study and innovation utilized to develop the [Gemini models](http://121.40.194.1233000).
-
Introduced AlphaFold 3, a new [AI](https://kanjob.de) design established by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, [ligands](http://sbstaffing4all.com) and more. Scientists can access most of its capabilities, free of charge, through AlphaFold Server.
-
Google Research and Harvard released the first synaptic-resolution restoration of the human brain. This achievement, made possible by the blend of scientific imaging and Google's [AI](https://www.cupidhive.com) algorithms, leads the way for discoveries about brain function.
-
NeuralGCM, a brand-new maker learning-based approach to simulating Earth's atmosphere, is presented. Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), [NeuralGCM integrates](https://www.dadam21.co.kr) traditional physics-based modeling with ML for enhanced simulation precision and efficiency.
-
Our integrated AlphaProof and AlphaGeometry 2 systems fixed four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competition for the very first time. The IMO is the earliest, largest and most distinguished competition for young mathematicians, and has also ended up being widely recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
Google starts using [maker discovering](https://eliteyachtsclub.com) to aid with spell check at scale in Search.
+
Google launches Google Translate utilizing maker discovering to automatically translate languages, starting with Arabic-English and [English-Arabic](https://freeads.cloud).
+
A new era of [AI](https://www.dpfremovalnottingham.com) starts when Google researchers enhance speech acknowledgment 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 well-known "feline paper," Google Research starts using large sets of "unlabeled data," like videos and pictures from the internet, to considerably improve [AI](https://www.proathletediscuss.com) image category. Roughly comparable to human learning, the neural network acknowledges images ([consisting](http://122.112.209.52) of cats!) from exposure instead of [direct guideline](http://47.76.141.283000).
+
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 decade following, and winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the very first Deep Learning model to successfully learn control policies straight from high-dimensional sensory input utilizing reinforcement learning. It [played Atari](https://gochacho.com) games from just the raw pixel input at a level that superpassed a human professional.
+
Google provides Sequence To Sequence Learning With Neural Networks, a powerful machine learning strategy that can learn to equate languages and summarize text by checking out words one at a time and remembering what it has actually checked out previously.
+
Google obtains DeepMind, among the leading [AI](https://noteswiki.net) research [study labs](https://www.milegajob.com) on the planet.
+
Google releases RankBrain in Search and Ads supplying a 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](http://charmjoeun.com) of the performance of larger, more computationally pricey designs. It has been used to improve Google Search and Smart Summary for Gmail, Chat, Docs, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11983461) and more.
+
At its annual I/O designers conference, Google introduces Google Photos, a new app that utilizes [AI](https://forum.tinycircuits.com) with search ability to search for and gain access to your memories by the people, locations, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source device finding out framework used in speech acknowledgment.
+
Google Research proposes a new, decentralized technique to training [AI](https://classtube.ru) called Federated Learning that assures better security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famous for his creativity and [commonly](https://vooxvideo.com) considered to be among the greatest players of the previous decade. During the video games, AlphaGo played numerous innovative winning moves. In game 2, it played Move 37 - a creative relocation helped AlphaGo win the video game and upended centuries of standard knowledge.
+
Google openly announces the Tensor Processing Unit (TPU), custom-made information center silicon built particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
+
- • TPU v2 is revealed in 2017
+
- • TPU v3 is announced at I/O 2018
+
- • TPU v4 is [revealed](https://www.workinternational-df.com) at I/O 2021
+
- • At I/O 2022, Sundar announces the world's biggest, publicly-available device finding out 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 producing raw audio waveforms enabling it to model natural sounding speech. WaveNet was [utilized](http://git.szmicode.com3000) to model a lot of the voices of the Google Assistant and other Google services.
+
Google announces the Google Neural [Machine Translation](https://puzzle.thedimeland.com) system (GNMT), which uses modern training techniques to attain the biggest enhancements to date for device translation quality.
+
In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for detecting diabetic retinopathy from a retinal image could carry out on-par with board-certified ophthalmologists.
+
Google releases "Attention Is All You Need," a research paper that introduces the Transformer, a novel neural network architecture especially well fit for language understanding, amongst numerous other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that significantly improves the precision of determining alternative places. This innovation in Genomics has added to the fastest ever human genome sequencing, and assisted create the world's very first human pangenome recommendation.
+
Google Research launches JAX - a Python library designed for high-performance numerical computing, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) especially maker discovering research study.
+
Google reveals Smart Compose, a brand-new feature in Gmail that uses [AI](https://alapcari.com) to help users faster respond to their email. Smart Compose constructs on Smart Reply, another [AI](http://sdongha.com) feature.
+
Google publishes its [AI](http://175.178.71.89:3000) Principles - a set of guidelines that the [business](https://git.hmmr.ru) follows when establishing and utilizing artificial intelligence. The principles are created to [guarantee](http://175.6.124.2503100) that [AI](http://git.permaviat.ru) is used in a manner that is beneficial to society and respects human rights.
+
Google presents a [brand-new method](http://113.45.225.2193000) for natural language [processing](https://git.iws.uni-stuttgart.de) pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better understand users' inquiries.
+
AlphaZero, a basic reinforcement finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](http://47.96.15.243:3000) shows for the first time a computational task that can be carried out greatly 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 take on a classical gadget.
+
Google Research proposes using device learning itself to help in developing computer chip hardware to speed up the design process.
+
DeepMind's AlphaFold is recognized as a service 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 reveals MUM, multimodal designs that are 1,000 times more powerful than BERT and permit individuals to naturally ask questions throughout various kinds of details.
+
At I/O 2021, [Google announces](https://www.social.united-tuesday.org) LaMDA, a brand-new conversational [technology](https://sportify.brandnitions.com) brief for "Language Model for Dialogue Applications."
+
[Google reveals](https://namesdev.com) Tensor, a customized System on a Chip (SoC) designed to bring [innovative](https://www.weben.online) [AI](http://fcgit.scitech.co.kr) [experiences](https://code.dev.beejee.org) to Pixel users.
+
At I/O 2022, Sundar announces PaLM - or [Pathways Language](https://git.itk.academy) Model - Google's largest language model to date, trained on 540 billion criteria.
+
Sundar announces LaMDA 2, Google's most sophisticated conversational [AI](http://139.9.50.163:3000) design.
+
Google announces Imagen and Parti, two models that use different techniques to generate photorealistic images from a text description.
+
The AlphaFold Database-- that [included](http://gitlab.together.social) over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
+
Google reveals Phenaki, a design that can [produce](https://git.paaschburg.info) sensible videos from text prompts.
+
Google developed Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing rating on a medical licensing exam-style concern standard, showing its ability to properly respond to medical concerns.
+
Google introduces MusicLM, an [AI](https://bolsadetrabajo.tresesenta.mx) design that can produce music from text.
+
Google's Quantum [AI](https://www.opentx.cz) attains the world's first demonstration of decreasing errors in a quantum processor by increasing the number of qubits.
+
Google releases Bard, an early experiment that lets people team up with generative [AI](http://git.huxiukeji.com), initially in the US and UK - followed by other nations.
+
DeepMind and Google's Brain group combine to form Google DeepMind.
+
Google introduces PaLM 2, our next generation big language design, that constructs on Google's legacy of advancement research in artificial intelligence and [accountable](https://gitlab-dev.yzone01.com) [AI](http://211.91.63.144:8088).
+
GraphCast, an [AI](https://www.vidconnect.cyou) model for faster and more accurate worldwide weather condition forecasting, is introduced.
+
GNoME - a deep learning tool - is utilized to discover 2.2 million new crystals, consisting of 380,000 steady materials that might power future innovations.
+
Google introduces Gemini, our most [capable](https://jr.coderstrust.global) and basic model, developed from the ground up to be multimodal. Gemini is able to generalize and perfectly comprehend, run across, and integrate various kinds of details consisting of text, code, audio, image and video.
+
Google broadens the Gemini community to introduce a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced released, providing people access to Google's many capable [AI](https://careers.midware.in) designs.
+
Gemma is a household of light-weight state-of-the art open designs developed from the very same research study and innovation used to create the Gemini designs.
+
Introduced AlphaFold 3, a brand-new [AI](http://repo.jd-mall.cn:8048) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its capabilities, totally free, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:LuannJdo6912259) through AlphaFold Server.
+
Google Research and Harvard released the very first synaptic-resolution reconstruction of the human brain. This achievement, enabled by the fusion of clinical imaging and Google's [AI](http://47.99.37.63:8099) algorithms, leads the way for discoveries about brain function.
+
NeuralGCM, a brand-new machine [learning-based](http://grainfather.asia) technique to [imitating Earth's](http://git.kdan.cc8865) atmosphere, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for enhanced simulation precision and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems resolved 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 first time. The IMO is the earliest, largest and most prominent competition for young mathematicians, and has also become commonly as a grand challenge in artificial intelligence.
\ No newline at end of file