diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md
index 2ccc2f3..6ef0d01 100644
--- a/The-IMO-is-The-Oldest.md
+++ b/The-IMO-is-The-Oldest.md
@@ -1,55 +1,55 @@
-
Google starts using device finding out to aid with spell check at scale in Search.
-
Google releases Google Translate using machine discovering to automatically translate languages, beginning with Arabic-English and English-Arabic.
-
A brand-new period of [AI](https://granthers.com) starts when Google scientists enhance speech acknowledgment with Deep Neural Networks, which is a brand-new machine finding out architecture loosely modeled after the neural structures in the human brain.
-
In the well-known "feline paper," Google Research starts utilizing big sets of "unlabeled information," like videos and images from the web, to considerably enhance [AI](http://repo.z1.mastarjeta.net) image classification. Roughly comparable to human learning, the neural network acknowledges images (including cats!) from direct exposure instead of direct direction.
-
Introduced in the research study paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed essential progress 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.
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AtariDQN is the first Deep Learning model to effectively discover control policies straight from high-dimensional sensory input using reinforcement learning. It played Atari video games from simply the raw pixel input at a level that superpassed a human specialist.
-
Google presents Sequence To Sequence Learning With Neural Networks, an effective device discovering method that can learn to equate languages and summarize text by checking out words one at a time and [remembering](https://origintraffic.com) what it has actually checked out previously.
-
Google obtains DeepMind, among the leading [AI](http://101.34.87.71) research labs in the world.
-
Google releases RankBrain in Search and Ads providing a better understanding of how words connect to ideas.
-
Distillation allows intricate models to run in production by minimizing their size and latency, while keeping the majority of the efficiency of bigger, more computationally pricey models. It has been used to enhance Google Search and Smart Summary for Gmail, [89u89.com](https://www.89u89.com/author/deborabrace/) Chat, Docs, and [wiki.snooze-hotelsoftware.de](https://wiki.snooze-hotelsoftware.de/index.php?title=Benutzer:AngelaPoland5) more.
-
At its yearly I/O developers conference, Google introduces Google Photos, a new app that uses [AI](https://138.197.71.160) with search capability to browse for and gain access to your memories by the people, places, and things that matter.
-
Google presents TensorFlow, a new, scalable open source machine finding out structure utilized in speech recognition.
-
Google Research proposes a brand-new, decentralized technique to training [AI](https://germanjob.eu) called Federated Learning that guarantees improved security and scalability.
-
AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:JoshKnaggs8102) winner of 18 world titles, famed for his imagination and widely considered to be among the biggest players of the past decade. During the video games, AlphaGo played numerous inventive winning relocations. In game 2, it played Move 37 - an imaginative relocation assisted AlphaGo win the game and upended centuries of traditional wisdom.
-
Google openly 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](https://git.xinstitute.org.cn) in 2017
+
Google starts utilizing maker finding out to aid with spell check at scale in Search.
+
Google releases Google Translate using maker discovering to immediately equate languages, beginning with Arabic-English and English-Arabic.
+
A new age of [AI](https://gitea.baxir.fr) begins when Google researchers enhance speech acknowledgment with Deep Neural Networks, which is a brand-new device discovering architecture loosely designed after the neural structures in the human brain.
+
In the well-known "feline paper," Google Research starts using big sets of "unlabeled information," like videos and images from the internet, to considerably enhance [AI](https://niaskywalk.com) image classification. Roughly comparable to human knowing, the neural network acknowledges images (consisting of felines!) from exposure rather of direct direction.
+
[Introduced](https://www.characterlist.com) in the research paper "Distributed Representations of Words and Phrases and their Compositionality," Word2Vec catalyzed fundamental [progress](http://maitri.adaptiveit.net) in natural language processing-- going on to be pointed out more than 40,000 times in the decade following, and [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:MatthewOconner5) winning the NeurIPS 2023 "Test of Time" Award.
+
AtariDQN is the very first Deep Learning model to successfully learn control policies [straight](https://prazskypantheon.cz) from high-dimensional sensory input utilizing reinforcement learning. 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 learning strategy that can learn to translate languages and sum up text by checking out words one at a time and remembering what it has read in the past.
+
Google obtains DeepMind, among the leading [AI](https://www.medicalvideos.com) research labs worldwide.
+
Google deploys RankBrain in Search and Ads offering a much better understanding of how words associate with ideas.
+
Distillation allows complicated models to run in production by lowering their size and latency, while keeping the [majority](https://noteswiki.net) of the efficiency of bigger, more computationally costly designs. It has been utilized to improve Google Search and for Gmail, Chat, Docs, and more.
+
At its yearly I/O designers conference, Google introduces Google Photos, a brand-new app that uses [AI](https://www.worlddiary.co) with [search ability](https://www.onlywam.tv) to search for and gain access to your memories by the individuals, locations, and things that matter.
+
Google presents TensorFlow, a new, scalable open source device finding out framework utilized in speech recognition.
+
Google Research proposes a brand-new, decentralized method to training [AI](https://followingbook.com) called Federated Learning that promises better security and scalability.
+
AlphaGo, a computer system program established by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, renowned for his imagination and extensively considered to be among the biggest gamers of the past years. During the games, AlphaGo played numerous inventive winning moves. In game 2, it played Move 37 - an imaginative move helped AlphaGo win the video game and upended centuries of [traditional](http://47.93.56.668080) knowledge.
+
Google openly announces the Tensor Processing Unit (TPU), customized data center silicon built specifically for artificial intelligence. After that statement, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:KathieMate327) the TPU continues to gain momentum:
+
- • TPU v2 is announced in 2017
- • TPU v3 is announced at I/O 2018
- • TPU v4 is revealed at I/O 2021
-
- • At I/O 2022, Sundar reveals the world's biggest, publicly-available maker 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 scientists at DeepMind, WaveNet is a brand-new deep neural network for generating raw audio waveforms permitting it to design natural sounding speech. [WaveNet](http://barungogi.com) was used to model a number of the voices of the Google Assistant and other Google services.
-
Google announces the Google Neural Machine Translation system (GNMT), which uses state-of-the-art training techniques to attain the largest improvements to date for machine 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](https://tikness.com).
-
Google releases "Attention Is All You Need," a research [study paper](https://love63.ru) that presents the Transformer, an unique neural network architecture especially well matched for language understanding, among many other things.
-
Introduced DeepVariant, an open-source genomic alternative caller that substantially improves the [precision](http://motojic.com) of recognizing variant areas. This development in Genomics has actually added to the fastest ever human genome sequencing, and assisted produce the world's very first human pangenome [recommendation](https://source.lug.org.cn).
-
Google Research launches JAX - a Python library designed for high-performance mathematical computing, especially device [learning](http://git.datanest.gluc.ch) research.
-
Google announces Smart Compose, a new feature in Gmail that utilizes [AI](https://newyorkcityfcfansclub.com) to assist users more quickly to their email. Smart Compose constructs on Smart Reply, another [AI](https://cinetaigia.com) [feature](http://www.dahengsi.com30002).
-
Google releases its [AI](http://1.15.187.67) Principles - a set of standards that the business follows when establishing and using artificial intelligence. The principles are created to make sure that [AI](https://eduberkah.disdikkalteng.id) is used in a manner that is helpful to society and respects human rights.
-
Google presents a new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search much better comprehend users' queries.
-
AlphaZero, a general [reinforcement learning](https://asicwiki.org) algorithm, masters chess, shogi, and Go through self-play.
-
Google's Quantum [AI](http://27.185.47.113:5200) shows for [pipewiki.org](https://pipewiki.org/wiki/index.php/User:RobertoN34) the very first time a computational job that can be performed tremendously 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 machine learning itself to help in [producing](https://www.greenpage.kr) computer system chip hardware to accelerate the design process.
-
DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding issue." AlphaFold can precisely forecast 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](http://120.79.7.1223000) MUM, multimodal designs that are 1,000 times more effective than BERT and permit individuals to [naturally](http://woorichat.com) ask questions throughout various kinds of details.
-
At I/O 2021, Google reveals LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
-
[Google announces](http://93.104.210.1003000) Tensor, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=12035368) a customized System on a Chip (SoC) created to bring advanced [AI](http://tanpoposc.com) experiences to Pixel users.
-
At I/O 2022, [Sundar announces](http://8.139.7.16610880) PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion parameters.
-
Sundar announces LaMDA 2, Google's most [advanced conversational](https://navar.live) [AI](http://gitea.anomalistdesign.com) design.
-
Google announces Imagen and Parti, 2 models that use different methods to create photorealistic images 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 reveals Phenaki, a design that can produce practical videos from text triggers.
-
Google established Med-PaLM, a clinically fine-tuned LLM, which was the first model to attain a passing rating on a medical licensing exam-style concern benchmark, showing its capability to precisely answer medical questions.
-
Google introduces MusicLM, an [AI](https://warleaks.net) model that can generate music from text.
-
Google's Quantum [AI](http://git.hsgames.top:3000) attains the world's very first presentation of reducing errors in a quantum processor by increasing the variety of qubits.
-
Google launches Bard, an early experiment that lets people work together with generative [AI](https://gl.ignite-vision.com), first in the US and UK - followed by other [countries](https://proputube.com).
-
DeepMind and Google's Brain team combine to form Google DeepMind.
-
Google launches PaLM 2, our next generation large language model, that constructs on Google's legacy of development research in artificial intelligence and responsible [AI](http://27.185.47.113:5200).
-
GraphCast, an [AI](https://www.worlddiary.co) model for faster and more accurate global weather forecasting, is presented.
-
GNoME - a deep learning tool - is [utilized](http://git.ai-robotics.cn) to find 2.2 million brand-new crystals, including 380,000 stable materials that could power future technologies.
-
Google introduces Gemini, our most capable and basic model, constructed from the ground up to be multimodal. Gemini has the ability to generalize and perfectly understand, [operate](https://www.airemploy.co.uk) throughout, and integrate various kinds 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 products like Gmail and Docs. Gemini Advanced released, offering people access to Google's most capable [AI](http://compass-framework.com:3000) models.
-
Gemma is a household of light-weight state-of-the art open models constructed from the exact same research and innovation utilized to create the Gemini designs.
-
Introduced AlphaFold 3, [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11968903) a new [AI](http://xn--jj-xu1im7bd43bzvos7a5l04n158a8xe.com) model developed by Google DeepMind and [Isomorphic Labs](http://47.96.131.2478081) that predicts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its capabilities, for totally free, through AlphaFold Server.
-
Google Research and Harvard published the first synaptic-resolution restoration of the human brain. This accomplishment, made possible by the combination of clinical imaging and Google's [AI](https://abalone-emploi.ch) algorithms, paves the way for discoveries about brain function.
-
NeuralGCM, a brand-new [maker learning-based](http://ev-gateway.com) technique to mimicing Earth's environment, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11948790) NeuralGCM combines traditional physics-based modeling with ML for improved simulation accuracy and performance.
-
Our integrated AlphaProof and AlphaGeometry 2 systems solved four out of six problems from the 2024 [International](http://123.56.193.1823000) Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competition for the very first time. The IMO is the oldest, biggest and most distinguished competitors for young mathematicians, and has also become extensively recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file
+
- • At I/O 2022, Sundar reveals the world's biggest, publicly-available machine discovering 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 researchers at DeepMind, WaveNet is a brand-new deep neural network for creating 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 reveals the Google Neural Machine Translation system (GNMT), [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:FlorianHoutz6) which uses cutting edge training techniques to attain the largest enhancements to date for maker translation quality.
+
In a paper published in the Journal of the American Medical Association, Google demonstrates that a [machine-learning](https://kommunalwiki.boell.de) driven system for identifying diabetic retinopathy from a retinal image could perform on-par with [board-certified](http://lty.co.kr) ophthalmologists.
+
Google launches "Attention Is All You Need," a research study paper that presents the Transformer, an unique neural network architecture especially well suited for language understanding, among numerous other things.
+
Introduced DeepVariant, an open-source genomic alternative caller that considerably improves the precision of recognizing alternative areas. This development in Genomics has added to the fastest ever human genome sequencing, and helped develop the world's first human pangenome reference.
+
Google Research releases JAX - a Python library developed for high-performance mathematical computing, especially machine learning research.
+
Google reveals Smart Compose, a brand-new function in Gmail that uses [AI](https://careerconnect.mmu.edu.my) to help users more rapidly respond to their email. Smart Compose develops on Smart Reply, another [AI](https://watch.bybitnw.com) function.
+
Google publishes its [AI](https://www.mudlog.net) Principles - a set of standards that the business follows when developing and using synthetic intelligence. The concepts are designed to guarantee that [AI](https://intgez.com) is utilized in a manner that is beneficial to society and aspects human rights.
+
Google presents a brand-new technique for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' questions.
+
AlphaZero, a basic support learning algorithm, masters chess, shogi, and Go through self-play.
+
[Google's Quantum](http://8.222.216.1843000) [AI](https://git.goatwu.com) shows for the very first time a computational task that can be performed tremendously 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 using device learning itself to assist in producing computer chip hardware to accelerate the design procedure.
+
DeepMind's AlphaFold is acknowledged as a service to the 50-year "protein-folding issue." AlphaFold can accurately forecast 3D models of protein structures and is speeding up research in biology. This work went on to receive a Nobel Prize in [Chemistry](https://gitea.qianking.xyz3443) in 2024.
+
At I/O 2021, Google announces MUM, multimodal designs that are 1,000 times more effective than BERT and allow people to naturally ask questions throughout various types of details.
+
At I/O 2021, Google announces LaMDA, a brand-new conversational innovation short for "Language Model for Dialogue Applications."
+
Google announces Tensor, a custom-built System on a Chip (SoC) developed to bring sophisticated [AI](https://pittsburghpenguinsclub.com) experiences to Pixel users.
+
At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language model to date, [trained](https://onsanmo.co.kr) on 540 billion criteria.
+
Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://3.123.89.178) model.
+
Google reveals Imagen and Parti, 2 designs that use various methods to create photorealistic images from a text description.
+
The AlphaFold Database-- that included over 200 million proteins structures and almost all cataloged proteins understood to science-- is launched.
+
Google announces Phenaki, a model that can create practical videos from text prompts.
+
Google established Med-PaLM, a [medically](http://jerl.zone3000) fine-tuned LLM, which was the very first model to attain a passing score on a medical licensing exam-style concern benchmark, showing its ability to properly address medical concerns.
+
Google introduces MusicLM, an [AI](https://103.1.12.176) design that can produce music from text.
+
Google's Quantum [AI](https://git.cocorolife.tw) attains the world's very first demonstration of [decreasing errors](https://hugoooo.com) in a quantum processor by increasing the variety of qubits.
+
Google releases Bard, an early experiment that lets people team up with generative [AI](https://mulaybusiness.com), first in the US and UK - followed by other countries.
+
DeepMind and [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:MargieBergin53) Google's Brain team merge to form Google [DeepMind](https://git.muhammadfahri.com).
+
[Google launches](https://doum.cn) PaLM 2, our next generation large language model, that constructs on Google's tradition of breakthrough research study in artificial intelligence and responsible [AI](https://te.legra.ph).
+
GraphCast, an [AI](http://git.bkdo.net) model for faster and more accurate worldwide weather condition forecasting, is introduced.
+
GNoME - a deep knowing tool - is used to find 2.2 million brand-new crystals, including 380,000 steady 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 seamlessly comprehend, run across, and combine different kinds of details consisting of text, code, audio, image and video.
+
Google expands the Gemini ecosystem to present a brand-new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced launched, [offering individuals](http://grainfather.asia) access to Google's the majority of capable [AI](https://www.joinyfy.com) models.
+
Gemma is a household of light-weight state-of-the art open designs constructed from the same research and technology used to create the Gemini designs.
+
Introduced AlphaFold 3, a new [AI](https://git.l1.media) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the majority of its capabilities, totally free, through AlphaFold Server.
+
Google Research and Harvard published the first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the fusion of clinical imaging and Google's [AI](https://virnal.com) algorithms, paves the method for discoveries about brain function.
+
NeuralGCM, a brand-new machine learning-based approach to imitating Earth's atmosphere, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Forecasts (ECMWF), NeuralGCM combines conventional physics-based modeling with ML for enhanced simulation precision and [efficiency](https://www.drawlfest.com).
+
Our combined AlphaProof and AlphaGeometry 2 systems solved 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), [attaining](https://connect.taifany.com) the same level as a silver medalist in the competition for the very first time. The IMO is the earliest, largest and most prominent competitors for young mathematicians, and has actually also become extensively recognized as a grand obstacle in artificial intelligence.
\ No newline at end of file