From 102971a51d4cb2157b55f917c7351fc989058e07 Mon Sep 17 00:00:00 2001 From: marshall60851 Date: Fri, 21 Feb 2025 12:07:16 +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..5087325 --- /dev/null +++ b/The-IMO-is-The-Oldest.md @@ -0,0 +1,55 @@ +
Google starts utilizing maker finding out to aid with spell check at scale in Search.
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Google introduces Google Translate using device finding out to automatically translate languages, starting with Arabic-English and English-Arabic.
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A new period of [AI](https://umindconsulting.com) starts when Google researchers enhance [speech recognition](https://git.andreaswittke.de) with Deep Neural Networks, which is a brand-new maker 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 utilizing large sets of "unlabeled data," like videos and photos from the web, to significantly improve [AI](https://git.rankenste.in) image category. Roughly comparable to human learning, the neural network recognizes images (consisting of cats!) from exposure instead of direct guideline.
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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.
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AtariDQN is the first Deep Learning design to successfully find out control policies straight from high-dimensional sensory input using support learning. It played Atari games from simply the raw pixel input at a level that superpassed a human expert.
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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 summarize text by checking out words one at a time and remembering what it has actually checked out before.
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Google obtains DeepMind, among the leading [AI](https://www.trabahopilipinas.com) research study laboratories in the world.
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Google deploys RankBrain in Search and Ads providing a much better understanding of how words relate to principles.
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Distillation allows intricate models to run in production by reducing their size and latency, while keeping the majority of the performance of bigger, more computationally pricey models. It has actually been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
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At its annual I/O designers conference, Google introduces Google Photos, a brand-new app that utilizes [AI](http://221.131.119.2:10030) with search ability to browse for and gain access to your memories by the individuals, places, and things that matter.
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Google introduces TensorFlow, a brand-new, scalable open source machine finding out framework used in [speech acknowledgment](https://classificados.diariodovale.com.br).
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Google Research proposes a brand-new, decentralized technique to training [AI](https://qdate.ru) called Federated Learning that guarantees improved security and scalability.
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AlphaGo, a computer program developed by DeepMind, plays the legendary Lee Sedol, winner of 18 world titles, well known for his creativity and commonly thought about to be one of the best players of the past years. During the games, AlphaGo played several innovative winning moves. In video game 2, it played Move 37 - an imaginative relocation assisted AlphaGo win the video game and upended centuries of traditional wisdom.
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Google openly announces the Tensor Processing Unit (TPU), custom information center silicon built particularly for artificial intelligence. After that statement, the TPU continues to gain momentum:
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- • TPU v2 is announced in 2017
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- • TPU v3 is announced 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 reveals](https://makestube.com) the world's largest, publicly-available maker [discovering](https://code.cypod.me) center, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.
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Developed by researchers at DeepMind, WaveNet is a new deep neural network for producing raw audio waveforms enabling it to design natural sounding speech. WaveNet was used to design many of the voices of the [Google Assistant](https://www.kenpoguy.com) and other Google services.
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Google announces the Google Neural Machine Translation system (GNMT), which uses state-of-the-art training methods to attain the biggest improvements to date for device translation quality.
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In a paper released in the Journal of the [American Medical](http://60.205.104.1793000) Association, Google demonstrates that a machine-learning driven system for identifying diabetic retinopathy from a retinal image might carry out on-par with board-certified ophthalmologists.
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Google launches "Attention Is All You Need," a research paper that presents the Transformer, a novel neural network architecture especially well suited for language understanding, among many other things.
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Introduced DeepVariant, an open-source genomic variant caller that significantly improves the precision of identifying alternative locations. This development in Genomics has 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 [archmageriseswiki.com](http://archmageriseswiki.com/index.php/User:BonnieValle7) high-performance mathematical computing, especially device learning research study.
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[Google announces](https://www.bolsadetrabajotafer.com) Smart Compose, a new [function](https://rootsofblackessence.com) in Gmail that uses [AI](https://cloudsound.ideiasinternet.com) to help users quicker respond to their email. Smart Compose develops on Smart Reply, another [AI](https://www.mapsisa.org) feature.
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Google releases its [AI](https://satitmattayom.nrru.ac.th) Principles - a set of guidelines that the business follows when developing and utilizing synthetic intelligence. The principles are [designed](http://114.55.171.2313000) to ensure that [AI](http://dancelover.tv) is utilized in such a way that is helpful to society and aspects human rights.
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Google introduces a brand-new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' queries.
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AlphaZero, a general reinforcement finding out algorithm, masters chess, shogi, and Go through [self-play](https://www.teacircle.co.in).
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Google's Quantum [AI](https://aquarium.zone) shows for the very first time a computational job that can be carried out 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 device.
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Google Research proposes utilizing machine learning itself to assist in developing computer [chip hardware](https://xn--114-2k0oi50d.com) to speed up the design process.
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DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding issue." AlphaFold can precisely predict 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.
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At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and enable individuals to naturally ask questions throughout various types of details.
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At I/O 2021, Google reveals LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
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Google reveals Tensor, a custom-built System on a Chip (SoC) designed to bring sophisticated [AI](http://47.94.142.235:10230) experiences to Pixel users.
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At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's largest language model to date, [trained](http://119.3.9.593000) on 540 billion parameters.
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Sundar reveals LaMDA 2, Google's most innovative conversational [AI](http://47.113.125.203:3000) model.
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Google announces Imagen and Parti, two designs that use different techniques to generate photorealistic images from a text description.
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The AlphaFold Database-- that included over 200 million proteins structures and nearly all cataloged proteins understood to science-- is launched.
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Google reveals Phenaki, a model that can create realistic videos from text triggers.
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Google developed Med-PaLM, a LLM, which was the very first model to attain a passing rating on a medical licensing exam-style concern criteria, demonstrating its ability to precisely respond to medical concerns.
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Google introduces MusicLM, an [AI](https://ruraltv.co.za) design that can create music from text.
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Google's Quantum [AI](http://repo.magicbane.com) attains the world's very first presentation of decreasing mistakes in a quantum processor by increasing the number of qubits.
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Google releases Bard, an early experiment that lets people collaborate with generative [AI](https://www.eadvisor.it), initially in the US and UK - followed by other [nations](https://foxchats.com).
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DeepMind and Google's Brain team combine 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 development research in artificial intelligence and responsible [AI](https://www.bakicicepte.com).
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GraphCast, an [AI](https://rpcomm.kr) model for faster and more precise worldwide weather condition forecasting, is introduced.
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GNoME - a deep knowing tool - is used to discover 2.2 million brand-new crystals, consisting of 380,000 stable products that might power future innovations.
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Google presents Gemini, our most capable and basic design, developed from the ground up to be multimodal. Gemini is able to generalize and flawlessly comprehend, operate throughout, and [integrate](http://tpgm7.com) various kinds of details including text, code, audio, image and video.
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Google broadens the Gemini ecosystem to introduce a brand-new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced launched, providing people access to Google's the majority of capable [AI](https://git.suthby.org:2024) models.
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Gemma is a household of lightweight state-of-the art open designs developed from the same research study and innovation used to create the Gemini designs.
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Introduced AlphaFold 3, a new [AI](https://dev.worldluxuryhousesitting.com) design established by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. Scientists can access most of its capabilities, free of charge, through AlphaFold Server.
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Google Research and Harvard published the very first synaptic-resolution reconstruction of the human brain. This accomplishment, enabled by the fusion of scientific imaging and Google's [AI](http://39.101.134.26:9800) algorithms, leads the way for discoveries about brain function.
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NeuralGCM, a new machine [learning-based technique](https://www.kenpoguy.com) to imitating Earth's environment, 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 precision and effectiveness.
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Our integrated AlphaProof and AlphaGeometry 2 systems fixed four out of six issues from the 2024 International Mathematical Olympiad (IMO), [attaining](https://www.graysontalent.com) the 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 actually also ended up being widely acknowledged as a grand difficulty in artificial intelligence.
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