From 1d6b7943de4be4ef1473bec28699abbccc78c2d9 Mon Sep 17 00:00:00 2001 From: maxies9191138 Date: Sat, 15 Mar 2025 12:05:40 +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..e03fd85 --- /dev/null +++ b/The-IMO-is-The-Oldest.md @@ -0,0 +1,55 @@ +
Google starts utilizing machine learning to aid with spell checker at scale in Search.
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Google launches Google Translate using device finding out to automatically equate languages, beginning with Arabic-English and English-Arabic.
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A new era of [AI](https://www.designxri.com) starts when Google researchers improve [speech recognition](https://asteroidsathome.net) with Deep Neural Networks, which is a new maker learning architecture loosely modeled after the neural structures in the human brain.
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In the famous "cat paper," Google Research starts using large sets of "unlabeled data," like videos and images from the web, to substantially improve [AI](http://94.224.160.69:7990) image classification. Roughly analogous to human knowing, the neural network recognizes images (consisting of cats!) from direct exposure rather of direct direction.
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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 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 design to successfully find out control policies straight from high-dimensional sensory input using reinforcement knowing. It played Atari games from just 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 learning method that can find out to equate languages and sum up text by reading words one at a time and remembering what it has actually read before.
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Google obtains DeepMind, among the leading [AI](https://handsfarmers.fr) research labs worldwide.
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Google [releases RankBrain](https://gitlab.grupolambda.info.bo) in Search and Ads providing a better understanding of how words associate with concepts.
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Distillation allows complex designs to run in production by reducing their size and [setiathome.berkeley.edu](https://setiathome.berkeley.edu/view_profile.php?userid=11860868) latency, while keeping the majority of the performance of bigger, more computationally pricey models. It has actually been used to improve Google Search and [Smart Summary](http://h2kelim.com) for Gmail, Chat, Docs, and more.
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At its yearly I/O developers conference, Google introduces Google Photos, [systemcheck-wiki.de](https://systemcheck-wiki.de/index.php?title=Benutzer:CarlTabarez70) a brand-new app that uses [AI](https://www.goodbodyschool.co.kr) with search ability to browse for and gain access to your memories by the individuals, locations, and things that matter.
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Google introduces TensorFlow, a brand-new, scalable open source device discovering framework utilized in speech recognition.
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Google Research proposes a brand-new, decentralized approach to training [AI](https://newborhooddates.com) called Federated Learning that [promises](https://mp3talpykla.com) enhanced security and scalability.
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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 best gamers of the past decade. During the games, AlphaGo played several innovative winning moves. In video game 2, it played Move 37 - a creative move helped AlphaGo win the video game and upended centuries of conventional knowledge.
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Google publicly reveals the Tensor Processing Unit (TPU), information center silicon built specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:
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- • TPU v2 is revealed in 2017
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- • TPU v3 is announced at I/O 2018
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- • TPU v4 is [revealed](https://pierre-humblot.com) at I/O 2021
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- • At I/O 2022, Sundar announces the world's biggest, publicly-available maker discovering center, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which works on 90% carbon-free energy.
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Developed by scientists at DeepMind, WaveNet is a new [deep neural](http://bc.zycoo.com3000) network for producing raw audio waveforms permitting it to model natural sounding speech. WaveNet was used to design many 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 uses advanced training techniques to attain the biggest improvements to date for device translation quality.
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In a paper released in the [Journal](https://taar.me) of the American Medical Association, [Google demonstrates](https://coatrunway.partners) that a machine-learning driven system for identifying diabetic retinopathy from a retinal image could perform on-par with board-certified ophthalmologists.
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Google releases "Attention Is All You Need," a research study paper that introduces the Transformer, a novel neural network [architecture](http://27.128.240.723000) particularly well [matched](http://82.157.77.1203000) for [language](http://git.picaiba.com) understanding, amongst numerous other things.
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Introduced DeepVariant, an open-source genomic variant caller that [considerably improves](https://nsproservices.co.uk) the precision of recognizing variant 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.
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Google Research launches JAX - a Python library [designed](http://39.108.93.0) for high-performance mathematical computing, especially device discovering research.
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Google reveals Smart Compose, a brand-new feature in Gmail that utilizes [AI](http://git.attnserver.com) to assist users quicker respond to their email. Smart Compose constructs on Smart Reply, another [AI](http://82.157.77.120:3000) feature.
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Google publishes its [AI](https://yourrecruitmentspecialists.co.uk) Principles - a set of standards that the company follows when establishing and using artificial intelligence. The principles are created to guarantee that [AI](http://193.30.123.188:3500) is used in a manner that is helpful to society and respects human rights.
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Google presents a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much better comprehend users' questions.
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AlphaZero, a basic support learning algorithm, [hb9lc.org](https://www.hb9lc.org/wiki/index.php/User:TobyLabonte8) masters chess, shogi, and Go through self-play.
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[Google's Quantum](http://lyo.kr) [AI](https://gitea.qi0527.com) demonstrates for the very first time a computational job that can be executed greatly much 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 handle a classical device.
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Google Research proposes utilizing device discovering itself to assist in creating computer chip hardware to accelerate the style process.
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DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding issue." AlphaFold can precisely predict 3D models of protein structures and is speeding up research study in [biology](http://www.zjzhcn.com). This work went on to get 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 allow people to naturally ask concerns across different types of details.
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At I/O 2021, Google announces LaMDA, a new conversational technology short for "Language Model for Dialogue Applications."
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Google announces Tensor, a [custom-made](http://406.gotele.net) System on a Chip (SoC) designed to bring sophisticated [AI](http://git.appedu.com.tw:3080) experiences to Pixel users.
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At I/O 2022, Sundar announces PaLM - or Pathways Language Model - Google's biggest language design to date, trained on 540 billion parameters.
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Sundar announces LaMDA 2, Google's most advanced conversational [AI](https://clubamericafansclub.com) model.
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Google announces Imagen and Parti, two models that use various strategies to create photorealistic images from a text description.
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The AlphaFold Database-- which consisted of over 200 million proteins structures and nearly all cataloged proteins known to science-- is launched.
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Google announces Phenaki, a model that can generate sensible videos from text prompts.
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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 standard, showing its capability to accurately address medical questions.
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[Google introduces](https://lifefriendsurance.com) MusicLM, an [AI](http://dnd.achoo.jp) design that can create music from text.
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Google's Quantum [AI](https://dyipniflix.com) attains the world's very first demonstration of lowering errors in a quantum processor by increasing the variety of qubits.
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Google releases Bard, an early experiment that lets individuals team up with generative [AI](https://www.ubom.com), first in the US and UK - followed by other countries.
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DeepMind and Google's Brain group merge to form Google DeepMind.
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Google launches PaLM 2, our next generation large language model, that constructs on Google's tradition of breakthrough research in artificial intelligence and accountable [AI](https://theindietube.com).
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GraphCast, an [AI](https://earthdailyagro.com) design for faster and more precise worldwide [weather](https://git.hichinatravel.com) forecasting, is introduced.
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GNoME - a deep learning tool - is used to discover 2.2 million new crystals, consisting of 380,000 stable products that might power [future innovations](http://82.156.24.19310098).
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Google presents Gemini, our most capable and general design, developed from the ground up to be multimodal. Gemini has the ability to generalize and seamlessly understand, run across, and integrate various types of details including text, code, audio, image and video.
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Google expands the Gemini ecosystem to present a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced released, providing people access to Google's a lot of capable [AI](https://gitee.mmote.ru) designs.
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Gemma is a family of lightweight state-of-the art open designs developed from the exact same research and technology utilized to develop the Gemini models.
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Introduced AlphaFold 3, a brand-new [AI](https://www.sparrowjob.com) [model developed](http://121.36.37.7015501) by Google DeepMind and Isomorphic Labs that forecasts the structure of proteins, DNA, RNA, ligands and more. [Scientists](https://cbfacilitiesmanagement.ie) can access the bulk of its capabilities, free of charge, through AlphaFold Server.
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Google Research and Harvard released the very first synaptic-resolution restoration of the [human brain](https://jobs.theelitejob.com). This accomplishment, [trademarketclassifieds.com](https://trademarketclassifieds.com/user/profile/2746667) made possible by the blend of scientific imaging and Google's [AI](https://git.rankenste.in) algorithms, paves the method for discoveries about brain function.
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NeuralGCM, a brand-new device learning-based method to [mimicing Earth's](http://yun.pashanhoo.com9090) 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 enhanced simulation precision and performance.
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Our integrated AlphaProof and AlphaGeometry 2 systems solved four out of 6 problems from the 2024 International Mathematical Olympiad (IMO), [attaining](https://git.szrcai.ru) the same level as a silver medalist in the competitors for the first time. The IMO is the earliest, [biggest](https://cvmira.com) and most prominent competition for young mathematicians, and has actually likewise ended up being commonly recognized as a grand challenge in artificial intelligence.
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