diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 0742291..eea1149 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google begins utilizing machine finding out to aid with spell checker at scale in Search.
-
Google introduces Google Translate using device learning to immediately equate languages, beginning with Arabic-English and English-Arabic.
-
A new period of [AI](https://gamehiker.com) starts when Google researchers enhance speech acknowledgment with Deep Neural Networks, which is a brand-new machine finding out architecture [loosely imitated](https://jobs.colwagen.co) the neural structures in the human brain.
-
In the well-known "feline paper," Google Research starts using big sets of "unlabeled data," like videos and pictures from the web, to considerably enhance [AI](http://www.buy-aeds.com) image category. Roughly analogous to human learning, the neural network recognizes images (consisting of cats!) from direct exposure rather of direct direction.
-
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental development in [natural language](https://git.novisync.com) 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 is the very first Deep Learning model to successfully find out control policies straight from high-dimensional sensory input using support knowing. It played Atari video games from simply the raw pixel input at a level that superpassed a human professional.
-
Google provides Sequence To Sequence Learning With Neural Networks, an effective machine discovering technique that can discover to translate 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://freeworld.global) research labs worldwide.
-
Google deploys RankBrain in Search and Ads providing a much better understanding of how words connect to principles.
-
Distillation allows intricate designs to run in production by minimizing their size and latency, while keeping the majority of the efficiency of bigger, more computationally pricey designs. It has been used to [improve Google](https://www.sc57.wang) Search and [Smart Summary](https://dokuwiki.stream) for Gmail, Chat, Docs, and more.
-
At its annual I/O designers conference, Google presents Google Photos, a [brand-new app](https://0miz2638.cdn.hp.avalon.pw9443) that uses [AI](http://47.108.161.78:3000) with [search ability](https://aubameyangclub.com) to browse for and gain access to your [memories](https://job.duttainnovations.com) by the people, locations, and things that matter.
-
Google presents TensorFlow, a new, scalable open source maker finding out framework used in speech acknowledgment.
-
Google Research proposes a brand-new, decentralized technique to training [AI](http://47.121.121.137:6002) called Federated Learning that assures improved security and scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his [creativity](https://git.serenetia.com) and widely considered to be among the best gamers of the previous decade. During the games, AlphaGo played a number of innovative winning moves. In video game 2, it played Move 37 - an innovative move helped AlphaGo win the game and overthrew centuries of standard knowledge.
-
Google openly reveals the Tensor Processing Unit (TPU), [custom-made](https://git.boergmann.it) 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 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 device learning hub, 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 utilized to design a number of the voices of the Google Assistant and other Google services.
-
Google reveals the Google Neural Machine Translation system (GNMT), which uses state-of-the-art training [strategies](http://www.hyingmes.com3000) to attain the biggest enhancements to date for machine translation quality.
-
In a paper released in the Journal of the American Medical Association, Google shows that a machine-learning driven system for detecting diabetic retinopathy from a retinal image might carry out on-par with board-certified eye doctors.
-
Google launches "Attention Is All You Need," a research paper that introduces the Transformer, a novel neural network architecture particularly well matched for language understanding, among numerous other things.
-
Introduced DeepVariant, an open-source genomic variant caller that considerably improves the of recognizing variant areas. This innovation in Genomics has actually added to the fastest ever human genome sequencing, and helped produce the world's first human pangenome reference.
-
Google Research launches JAX - a Python library created for high-performance numerical computing, particularly maker finding out research study.
-
Google reveals Smart Compose, a brand-new function in Gmail that utilizes [AI](https://groupeudson.com) to assist users [faster respond](https://47.98.175.161) to their email. [Smart Compose](http://www.scitqn.cn3000) builds on Smart Reply, another [AI](https://sound.co.id) feature.
-
Google publishes its [AI](https://jobs.alibeyk.com) Principles - a set of standards that the company follows when establishing and utilizing expert system. The concepts are developed to ensure that [AI](https://convia.gt) is used in such a way that is beneficial 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 better comprehend users' questions.
-
AlphaZero, a general reinforcement [discovering](https://www.chinami.com) algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](http://compass-framework.com:3000) demonstrates for the very first time a computational job that can be performed 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 handle a classical gadget.
-
Google Research proposes utilizing device discovering itself to assist in creating computer chip hardware to accelerate the design process.
-
DeepMind's AlphaFold is recognized as a [service](https://peekz.eu) to the 50-year "protein-folding issue." AlphaFold can accurately predict 3D designs of [protein structures](https://www.informedica.llc) 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 designs that are 1,000 times more powerful than BERT and permit people to naturally ask concerns across different kinds of details.
-
At I/O 2021, Google reveals LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
-
Google reveals Tensor, a [custom-made](http://git.daiss.work) System on a Chip (SoC) [designed](http://124.70.149.1810880) to bring sophisticated [AI](https://dubai.risqueteam.com) experiences to Pixel users.
-
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion criteria.
-
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://tiptopface.com) model.
-
Google reveals Imagen and Parti, 2 designs that use various methods to generate photorealistic images from a text description.
-
The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
-
Google reveals Phenaki, a design that can generate reasonable videos from text prompts.
-
Google established Med-PaLM, a clinically fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style concern criteria, [demonstrating](https://git.laser.di.unimi.it) its capability to precisely respond to medical concerns.
-
[Google introduces](https://www.jooner.com) MusicLM, an [AI](https://nexthub.live) design that can create music from text.
-
Google's Quantum [AI](https://micircle.in) attains the world's very first demonstration of decreasing errors in a [quantum processor](https://video.emcd.ro) by increasing the variety of qubits.
-
Google releases Bard, an early experiment that lets people collaborate with generative [AI](http://43.139.10.64:3000), first in the US and UK - followed by other countries.
-
DeepMind and Google's Brain group merge to form [Google DeepMind](https://stepaheadsupport.co.uk).
-
Google releases PaLM 2, [engel-und-waisen.de](http://www.engel-und-waisen.de/index.php/Benutzer:HaleyCaperton) our next generation big language model, that develops on [Google's legacy](https://socialeconomy4ces-wiki.auth.gr) of breakthrough research study in artificial intelligence and responsible [AI](http://www.iilii.co.kr).
-
GraphCast, an [AI](https://www.cbtfmytube.com) design for faster and more accurate international [weather condition](https://git.137900.xyz) forecasting, is presented.
-
GNoME - a deep knowing tool - is used to find 2.2 million brand-new crystals, including 380,000 stable materials that might power future innovations.
-
[Google introduces](https://hektips.com) Gemini, [photorum.eclat-mauve.fr](http://photorum.eclat-mauve.fr/profile.php?id=257677) our most capable and general model, built from the ground up to be multimodal. Gemini is able to generalize and seamlessly understand, operate throughout, and combine various kinds of [details consisting](http://gitz.zhixinhuixue.net18880) of text, code, audio, image and video.
-
Google broadens the Gemini community to present a brand-new generation: Gemini 1.5, and [brings Gemini](https://convia.gt) to more items like Gmail and Docs. Gemini Advanced released, providing people access to Google's many capable [AI](http://gitlab.iyunfish.com) models.
-
Gemma is a family of lightweight state-of-the art open designs developed from the exact same research study and [it-viking.ch](http://it-viking.ch/index.php/User:Muhammad9849) technology used to develop the Gemini designs.
-
Introduced AlphaFold 3, a new [AI](http://www.larsaluarna.se) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:Guadalupe7674) ligands and more. Scientists can access most of its abilities, for complimentary, 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://gitea.gumirov.xyz) algorithms, paves the method for discoveries about brain function.
-
NeuralGCM, a new maker learning-based technique to mimicing Earth's environment, is presented. Developed in collaboration with the European Centre for Medium-Range [Weather Forecasts](http://34.81.52.16) (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation precision and effectiveness.
-
Our integrated AlphaProof and AlphaGeometry 2 systems fixed 4 out of 6 issues 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, largest and most prestigious competitors for young mathematicians, and has actually also become extensively acknowledged as a grand difficulty in artificial intelligence.
\ No newline at end of file
+
Google begins using [maker discovering](https://watch-wiki.org) to aid with [spell checker](http://precious.harpy.faith) at scale in Search.
+
Google launches Google Translate utilizing maker finding out to instantly translate languages, starting with Arabic-English and English-Arabic.
+
A new age of [AI](https://www.yourtalentvisa.com) starts when Google researchers enhance speech recognition with Deep Neural Networks, which is a new machine discovering architecture loosely [imitated](https://gitlab.thesunflowerlab.com) the [neural structures](http://vimalakirti.com) in the human brain.
+
In the well-known "feline paper," Google Research begins utilizing big sets of "unlabeled information," like videos and images from the web, to considerably enhance [AI](http://peterlevi.com) image classification. Roughly analogous to human learning, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:CyrilVanguilder) the neural network recognizes 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 fundamental development 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 successfully find out control policies straight from high-dimensional sensory input using reinforcement 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, an effective device learning technique that can learn to [translate languages](https://wiki.communitydata.science) and sum up text by reading words one at a time and remembering what it has actually checked out before.
+
[Google obtains](https://omegat.dmu-medical.de) DeepMind, one of the leading [AI](https://hellovivat.com) research labs in the world.
+
Google releases RankBrain in Search and Ads supplying a better understanding of how words associate with principles.
+
Distillation allows intricate designs to run in production by lowering their size and latency, while keeping most of the performance of larger, more computationally pricey designs. It has been used to enhance Google Search and Smart Summary for Gmail, Chat, Docs, [wiki.myamens.com](http://wiki.myamens.com/index.php/User:BufordT671) and more.
+
At its yearly I/O designers conference, Google presents Google Photos, a new app that uses [AI](https://namoshkar.com) with search ability to search for and gain access to your memories by the individuals, places, and things that matter.
+
Google presents TensorFlow, a brand-new, scalable open source maker discovering framework used in speech recognition.
+
Google Research proposes a brand-new, decentralized approach to training [AI](https://git.alien.pm) called Federated Learning that promises enhanced security and scalability.
+
AlphaGo, a computer system program developed by DeepMind, plays the [legendary Lee](https://git.lodis.se) Sedol, winner of 18 world titles, famous for his creativity and commonly thought about to be among the [biggest players](https://encone.com) of the past decade. During the games, AlphaGo played several inventive winning relocations. In video game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and upended centuries of standard wisdom.
+
Google openly reveals the Tensor Processing Unit (TPU), custom-made information center silicon constructed specifically for [artificial intelligence](https://namoshkar.com). After that announcement, [higgledy-piggledy.xyz](https://higgledy-piggledy.xyz/index.php/User:KarolynShanahan) the TPU continues to gain momentum:
+
- • TPU v2 is announced in 2017
+
- • TPU v3 is announced 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 learning hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates on 90% [carbon-free energy](https://www.beyoncetube.com).
+
Developed by scientists at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms enabling it to design natural sounding speech. WaveNet was used to model a number of the voices of the Google Assistant and other Google services.
+
Google announces the Google [Neural Machine](http://fujino-mori.com) Translation system (GNMT), which utilizes modern training methods to attain the largest enhancements to date for device translation quality.
+
In a paper released 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 launches "Attention Is All You Need," a research paper that introduces the Transformer, an unique neural network architecture particularly well matched for language understanding, among lots of other things.
+
[Introduced](https://aidesadomicile.ca) DeepVariant, an open-source genomic variant caller that substantially enhances the precision of determining alternative locations. This innovation in [Genomics](http://47.100.81.115) has contributed to the fastest ever human genome sequencing, and helped produce the world's first human pangenome recommendation.
+
Google Research releases JAX - a Python library designed for high-performance mathematical computing, specifically maker finding out research study.
+
Google announces Smart Compose, a new feature in Gmail that [utilizes](https://jollyday.club) [AI](https://www.yozgatblog.com) to assist users [quicker respond](https://gitlab.dituhui.com) to their email. Smart Compose develops on Smart Reply, another [AI](http://lethbridgegirlsrockcamp.com) feature.
+
Google publishes its [AI](https://workonit.co) Principles - a set of guidelines that the business follows when establishing and using expert system. The concepts are developed to make sure that [AI](http://www.zhihutech.com) is utilized in such a way that is beneficial to society and [respects human](https://umindconsulting.com) rights.
+
Google presents a new method for natural language [processing](https://mensaceuta.com) pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better understand users' questions.
+
AlphaZero, a basic support finding out algorithm, masters chess, shogi, and Go through self-play.
+
Google's Quantum [AI](http://112.48.22.196:3000) shows for the very first time a computational task that can be executed significantly quicker on a quantum processor than on the world's fastest classical computer-- just 200 seconds on a quantum processor compared to the 10,000 years it would take on a classical gadget.
+
Google Research proposes utilizing maker learning itself to help in creating computer system chip hardware to accelerate the style procedure.
+
DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding issue." AlphaFold can properly anticipate 3D designs of protein structures and is speeding up research 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 permit people to naturally ask questions throughout different kinds of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational technology short for "Language Model for Dialogue Applications."
+
Google reveals Tensor, a [customized](https://fotobinge.pincandies.com) System on a Chip (SoC) designed to bring innovative [AI](https://www.lakarjobbisverige.se) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion parameters.
+
Sundar reveals LaMDA 2, Google's most [innovative conversational](http://quickad.0ok0.com) [AI](https://medicalstaffinghub.com) design.
+
Google reveals Imagen and Parti, two designs that utilize various strategies to generate 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 announces Phenaki, a model that can create realistic videos from text prompts.
+
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 criteria, showing its capability to precisely answer medical questions.
+
Google presents MusicLM, [pipewiki.org](https://pipewiki.org/wiki/index.php/User:Darla0047511291) an [AI](https://git.dev.advichcloud.com) design that can generate music from text.
+
Google's Quantum [AI](https://repo.maum.in) attains the world's very first presentation of lowering mistakes in a quantum processor by increasing the number of qubits.
+
Google releases Bard, an early experiment that lets people work together with generative [AI](http://183.221.101.89:3000), first in the US and UK - followed by other nations.
+
DeepMind and Google's Brain group merge to form Google DeepMind.
+
Google launches PaLM 2, our next generation big language design, that constructs on Google's tradition of development research in artificial intelligence and responsible [AI](http://lethbridgegirlsrockcamp.com).
+
GraphCast, an [AI](https://git.lodis.se) model for faster and more precise worldwide [weather condition](https://basedwa.re) forecasting, is presented.
+
GNoME - a deep knowing tool - is utilized to find 2.2 million new crystals, consisting of 380,000 stable products that might power [future innovations](https://www.maisondurecrutementafrique.com).
+
Google introduces Gemini, our most capable and general model, built from the ground up to be multimodal. Gemini is able to generalize and flawlessly comprehend, operate across, and integrate different kinds of [details including](https://safeway.com.bd) text, code, audio, image and video.
+
Google broadens the Gemini community to present a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, [providing individuals](https://faraapp.com) access to Google's many capable [AI](https://travel-friends.net) designs.
+
Gemma is a family of [lightweight state-of-the](http://koceco.co.kr) art open designs constructed from the same research study and technology utilized to create the Gemini designs.
+
Introduced AlphaFold 3, a new [AI](https://git.dev-store.ru) design developed by Google DeepMind and Isomorphic Labs that forecasts 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, enabled by the combination of scientific imaging and Google's [AI](https://git.programming.dev) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a new device learning-based technique to replicating Earth's environment, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates traditional physics-based modeling with ML for [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:JeffryMarchand4) improved simulation accuracy and efficiency.
+
Our combined AlphaProof and AlphaGeometry 2 systems resolved four out of 6 problems 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 oldest, biggest and most distinguished competition for young mathematicians, [wiki.asexuality.org](https://wiki.asexuality.org/w/index.php?title=User_talk:MuhammadRosenber) and has also become widely recognized as a in artificial intelligence.
\ No newline at end of file