From 87c8b0d6a5e22e1d6cb8f69bd9899f4c55356464 Mon Sep 17 00:00:00 2001 From: gavinquilty444 Date: Thu, 6 Mar 2025 00:20:22 +0800 Subject: [PATCH] Add The IMO is The Oldest --- The-IMO-is-The-Oldest.md | 55 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 55 insertions(+) create mode 100644 The-IMO-is-The-Oldest.md diff --git a/The-IMO-is-The-Oldest.md b/The-IMO-is-The-Oldest.md new file mode 100644 index 0000000..3113ea5 --- /dev/null +++ b/The-IMO-is-The-Oldest.md @@ -0,0 +1,55 @@ +
Google begins using device learning to aid with spell check at scale in Search.
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Google launches Google Translate utilizing maker finding out to automatically translate languages, starting with Arabic-English and English-Arabic.
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A brand-new period of [AI](https://goodinfriends.com) starts when Google scientists enhance speech recognition with Deep Neural Networks, which is a new machine finding out architecture loosely designed after the neural structures in the human brain.
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In the famous "feline paper," Google Research begins using big sets of "unlabeled data," like videos and images from the internet, to considerably enhance [AI](https://www.graysontalent.com) image classification. Roughly comparable to human learning, the neural network recognizes images (consisting of felines!) from direct exposure rather of direct instruction.
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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 cited 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 very first Deep Learning model to successfully learn control policies straight from [high-dimensional sensory](https://bence.net) input using support learning. It played Atari video games from simply the raw pixel input at a level that superpassed a human specialist.
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Google presents Sequence To Sequence Learning With Neural Networks, an effective device finding out strategy that can discover to equate languages and sum up text by reading words one at a time and remembering what it has read previously.
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Google obtains DeepMind, among the leading [AI](https://git.bloade.com) research labs worldwide.
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Google deploys RankBrain in Search and Ads providing a better understanding of how words relate to principles.
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Distillation allows complex models to run in production by lowering their size and latency, while keeping most of the [efficiency](https://git.rtd.one) of bigger, more computationally costly models. It has actually been used to improve Google Search and [Smart Summary](http://121.43.121.1483000) for Gmail, Chat, Docs, and more.
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At its annual I/O designers conference, [Google introduces](https://www.dadam21.co.kr) Google Photos, a new app that uses [AI](http://forum.altaycoins.com) with search ability to look for and gain access to your memories by the individuals, places, and things that matter.
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Google presents TensorFlow, a new, scalable open source device learning framework used in speech recognition.
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Google Research proposes a new, decentralized method to training [AI](https://younetwork.app) called Federated Learning that assures improved security and scalability.
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AlphaGo, a computer program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, famous for his creativity and commonly considered to be one of the best gamers of the previous decade. During the games, AlphaGo played numerous moves. In game 2, it played Move 37 - an imaginative move assisted AlphaGo win the video game and overthrew centuries of traditional wisdom.
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Google openly reveals the Tensor Processing Unit (TPU), [custom data](https://pioneercampus.ac.in) center silicon developed particularly for artificial intelligence. After that announcement, the TPU continues to gain momentum:
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- • TPU v2 is revealed in 2017
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- • TPU v3 is [revealed](https://aggm.bz) at I/O 2018
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- • TPU v4 is revealed at I/O 2021
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- • At I/O 2022, Sundar announces the world's largest, publicly-available machine learning center, powered by TPU v4 pods and based at our [data center](https://www.kukustream.com) in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
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Developed by researchers at DeepMind, WaveNet is a brand-new deep neural network for creating raw audio waveforms allowing it to model natural sounding speech. WaveNet was utilized to model a number of the voices of the Google Assistant and other Google services.
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Google announces the Google Neural Machine Translation system (GNMT), which utilizes advanced training strategies to attain the largest enhancements to date for machine translation quality.
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In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might perform on-par with board-certified eye doctors.
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Google launches "Attention Is All You Need," a research paper that presents the Transformer, an unique neural network architecture especially well matched for language understanding, among lots of other things.
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Introduced DeepVariant, an open-source genomic alternative caller that considerably enhances the precision of identifying variant areas. This innovation in Genomics has actually added to the fastest ever human genome sequencing, and helped develop the world's very first human pangenome referral.
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Google Research launches JAX - a Python library designed for high-performance mathematical computing, particularly device discovering research.
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[Google announces](https://gitlab01.avagroup.ru) Smart Compose, a new function in Gmail that utilizes [AI](https://vidy.africa) to help users [faster respond](https://git.snaile.de) to their email. Smart Compose builds on Smart Reply, another [AI](https://firemuzik.com) function.
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Google publishes its [AI](http://101.43.151.191:3000) Principles - a set of guidelines that the business follows when [establishing](https://watch-wiki.org) and using expert system. The concepts are designed to guarantee that [AI](http://116.63.157.3:8418) is utilized in a manner that is beneficial to society and respects human rights.
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Google presents a new method for [natural language](https://git.haowumc.com) processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better comprehend users' questions.
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AlphaZero, a general reinforcement discovering algorithm, masters chess, shogi, and Go through self-play.
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Google's Quantum [AI](http://161.97.176.30) demonstrates for the very first time a computational task that can be executed greatly much faster on a quantum processor than on the world's fastest classical computer system-- simply 200 seconds on a [quantum](http://park1.wakwak.com) processor compared to the 10,000 years it would take on a classical device.
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Google Research [proposes](https://celticfansclub.com) using device learning itself to help in producing computer system chip hardware to accelerate the design process.
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DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding problem." AlphaFold can accurately predict 3D designs of protein structures and is accelerating research study in biology. This work went on to receive a Nobel Prize in Chemistry in 2024.
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At I/O 2021, Google announces MUM, multimodal models that are 1,000 times more effective than BERT and enable individuals to naturally ask concerns throughout various types of details.
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At I/O 2021, Google reveals LaMDA, a new conversational innovation brief for "Language Model for Dialogue Applications."
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Google announces Tensor, a custom-made System on a Chip (SoC) designed to bring innovative [AI](http://121.36.27.6:3000) experiences to Pixel users.
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At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion parameters.
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Sundar reveals LaMDA 2, Google's most sophisticated conversational [AI](https://gitlab.ngser.com) design.
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[Google announces](https://git.epochteca.com) Imagen and Parti, two designs that utilize different techniques to produce photorealistic images from a text description.
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The AlphaFold Database-- which consisted of over 200 million [proteins structures](https://sapjobsindia.com) and nearly all cataloged proteins understood to science-- is released.
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Google announces Phenaki, a model that can create sensible videos from text triggers.
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Google developed Med-PaLM, a medically fine-tuned LLM, which was the first design to attain a passing score on a medical licensing exam-style concern benchmark, showing its ability to accurately respond to medical concerns.
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Google introduces MusicLM, an [AI](https://git.math.hamburg) model that can generate music from text.
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Google's Quantum [AI](http://www.getfundis.com) attains the [world's](https://meta.mactan.com.br) first presentation of minimizing mistakes in a quantum processor by increasing the variety of qubits.
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Google releases Bard, an early experiment that lets people collaborate with generative [AI](https://gogs.es-lab.de), initially in the US and UK - followed by other countries.
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DeepMind and [Google's Brain](http://forum.ffmc59.fr) team merge to form Google DeepMind.
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Google introduces PaLM 2, our next generation large language design, that builds on Google's legacy of advancement research study in [artificial intelligence](http://47.108.239.2023001) and responsible [AI](https://embargo.energy).
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GraphCast, an [AI](http://hulaser.com) model for faster and more precise international weather forecasting, is presented.
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GNoME - a deep knowing tool - is used to find 2.2 million new crystals, consisting of 380,000 steady materials that could power future innovations.
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Google introduces Gemini, our most capable and general model, developed from the ground up to be multimodal. Gemini has the ability to generalize and flawlessly understand, operate throughout, and integrate various kinds of [details including](https://video-sharing.senhosts.com) text, code, audio, image and video.
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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 released, giving individuals access to Google's the majority of [capable](http://112.48.22.1963000) [AI](http://wrgitlab.org) models.
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Gemma is a family of lightweight state-of-the art open designs constructed from the exact same research and innovation used to produce the Gemini designs.
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Introduced AlphaFold 3, a new [AI](http://39.106.43.96) model established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its abilities, [raovatonline.org](https://raovatonline.org/author/trenarubio8/) totally free, through AlphaFold Server.
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Google Research and Harvard released the very first synaptic-resolution restoration of the human brain. This achievement, enabled by the combination of scientific imaging and [Google's](http://bc.zycoo.com3000) [AI](https://blog.giveup.vip) algorithms, paves the way for discoveries about brain function.
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NeuralGCM, a brand-new device learning-based approach to simulating Earth's atmosphere, is introduced. Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates standard physics-based modeling with ML for enhanced simulation accuracy and effectiveness.
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Our integrated AlphaProof and AlphaGeometry 2 systems resolved four out of 6 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, largest and most prominent competition for young mathematicians, and has actually also become widely recognized as a grand obstacle in artificial intelligence.
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