From cf35acc73e86d3bb17da48d175c423aa0707629a Mon Sep 17 00:00:00 2001 From: steviescullin Date: Fri, 21 Feb 2025 02:57:48 +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..f8775e9 --- /dev/null +++ b/The-IMO-is-The-Oldest.md @@ -0,0 +1,55 @@ +
Google starts using device finding out to aid with [spell checker](https://iamtube.jp) at scale in Search.
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[Google launches](https://truthbook.social) Google Translate using machine finding out to automatically equate languages, beginning with Arabic-English and English-Arabic.
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A new age of [AI](https://securityjobs.africa) begins when [Google scientists](http://121.40.194.1233000) enhance speech recognition with Deep Neural Networks, which is a brand-new device learning architecture loosely modeled after the neural structures in the human brain.
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In the popular "feline paper," Google Research begins utilizing large sets of "unlabeled data," like videos and pictures from the web, to significantly improve [AI](http://www.cl1024.online) image classification. Roughly analogous to human learning, the neural network recognizes images (including felines!) 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 basic development in natural language processing-- going on to be cited more than 40,000 times in the decade following, and winning the NeurIPS 2023 "Test of Time" Award.
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AtariDQN is the very first Deep Learning model to successfully discover control policies straight 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 specialist](https://mediawiki.hcah.in).
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Google provides Sequence To Sequence Learning With Neural Networks, a powerful device finding out technique that can discover to equate languages and summarize text by checking out words one at a time and remembering what it has checked out previously.
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Google obtains DeepMind, one of the leading [AI](https://moojijobs.com) research laboratories on the planet.
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Google releases RankBrain in Search and Ads providing a better understanding of how words connect to ideas.
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Distillation allows intricate models to run in production by reducing their size and latency, while keeping the majority of the efficiency of bigger, more computationally costly designs. It has been used 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 presents Google Photos, a brand-new app that utilizes [AI](https://www.jobcheckinn.com) with search capability to look for and gain access to your memories by the people, locations, and things that matter.
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Google presents TensorFlow, a brand-new, scalable open source maker discovering framework used in speech recognition.
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Google Research proposes a new, decentralized technique to training [AI](https://familytrip.kr) called Federated Learning that assures better security and scalability.
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AlphaGo, a computer program developed by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, renowned for his [creativity](http://bertogram.com) and considered to be among the greatest gamers of the previous decade. During the video games, AlphaGo played several innovative winning relocations. In video game 2, it played Move 37 - an innovative move helped AlphaGo win the video game and [upended centuries](https://njspmaca.in) of [conventional](http://41.111.206.1753000) wisdom.
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Google openly announces the Tensor Processing Unit (TPU), custom-made 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 revealed at I/O 2018
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- • TPU v4 is [revealed](http://13.228.87.95) at I/O 2021
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- • At I/O 2022, Sundar reveals the world's largest, publicly-available machine learning hub, powered by TPU v4 pods and based at our data center in Mayes County, Oklahoma, which operates 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 permitting it to design natural sounding speech. WaveNet was used 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 state-of-the-art [training techniques](https://www.teamusaclub.com) to attain the largest enhancements to date for maker translation quality.
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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 perform on-par with board-certified ophthalmologists.
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Google releases "Attention Is All You Need," a research paper that presents the Transformer, a novel [neural network](http://www.tuzh.top3000) architecture especially well suited for language understanding, amongst many other things.
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Introduced DeepVariant, an open-source genomic alternative caller that considerably enhances the accuracy of determining alternative areas. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, [forum.pinoo.com.tr](http://forum.pinoo.com.tr/profile.php?id=1332345) and assisted develop the world's first human pangenome [reference](https://git.teygaming.com).
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Google Research launches JAX - a Python library designed for high-performance mathematical computing, especially device discovering research study.
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Google reveals Smart Compose, a brand-new function in Gmail that uses [AI](https://baescout.com) to help users faster respond to their email. [Smart Compose](https://intunz.com) develops on Smart Reply, another [AI](http://git.sinoecare.com) feature.
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Google publishes its [AI](https://mxlinkin.mimeld.com) Principles - a set of guidelines that the company follows when establishing and using artificial intelligence. The concepts are [designed](https://gitea.dokm.xyz) to ensure that [AI](http://106.55.3.105:20080) is utilized in a way that is useful to society and aspects human rights.
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Google presents a brand-new strategy for natural language [processing](http://kpt.kptyun.cn3000) pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search much 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](https://southernsoulatlfm.com) demonstrates for the very first time a computational task that can be performed significantly quicker 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 gadget](https://www.nikecircle.com).
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Google Research proposes using machine discovering itself to assist in producing computer chip hardware to accelerate the style process.
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DeepMind's AlphaFold is acknowledged as an option to the 50-year "protein-folding problem." AlphaFold can precisely forecast 3D models of protein structures and is speeding up research in biology. 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 individuals to naturally ask concerns throughout various types of details.
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At I/O 2021, Google reveals LaMDA, a new conversational technology brief for "Language Model for Dialogue Applications."
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Google announces Tensor, a custom-built System on a Chip (SoC) developed to bring innovative [AI](http://114.55.171.231:3000) experiences to Pixel users.
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At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's largest language design to date, trained on 540 billion criteria.
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Sundar reveals LaMDA 2, Google's most innovative conversational [AI](https://teachinthailand.org) model.
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Google reveals Imagen and Parti, 2 designs that utilize various methods to generate photorealistic images from a text description.
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The AlphaFold Database-- that included over 200 million proteins structures and almost all cataloged proteins understood to science-- is released.
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Google announces Phenaki, a design that can generate realistic videos from text prompts.
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Google developed Med-PaLM, a medically fine-tuned LLM, which was the first model to attain a passing rating on a medical licensing exam-style question benchmark, demonstrating its capability to accurately address medical questions.
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Google introduces MusicLM, an [AI](https://git.yingcaibx.com) model that can produce music from text.
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Google's Quantum [AI](https://lab.gvid.tv) attains the world's very first demonstration of reducing mistakes in a quantum processor by increasing the variety of qubits.
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Google launches Bard, an early experiment that lets individuals team up with generative [AI](http://hellowordxf.cn), 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](https://git.limework.net).
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Google releases PaLM 2, our next generation large language design, that constructs on Google's tradition of advancement research in artificial intelligence and accountable [AI](http://git.storkhealthcare.cn).
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GraphCast, an [AI](https://rapostz.com) design for faster and more precise global weather condition forecasting, is introduced.
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GNoME - a [deep knowing](http://git.aivfo.com36000) tool - is utilized to discover 2.2 million new crystals, including 380,000 steady products that might power future technologies.
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Google presents Gemini, our most capable and general model, constructed from the ground up to be [multimodal](http://47.113.125.2033000). Gemini has the [ability](https://seenoor.com) to [generalize](https://equipifieds.com) and perfectly understand, run across, and combine different kinds of details including text, code, audio, image and video.
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Google expands the Gemini community to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced introduced, providing people access to Google's most [capable](https://noinai.com) [AI](https://git.boergmann.it) models.
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Gemma is a family of light-weight state-of-the art open designs built from the exact same research study and technology utilized to develop the Gemini models.
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Introduced AlphaFold 3, a new [AI](http://pinetree.sg) design established by Google DeepMind and Isomorphic Labs that anticipates the structure of proteins, DNA, RNA, ligands and more. Scientists can access the bulk of its abilities, totally free, through AlphaFold Server.
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Google Research and Harvard published the first synaptic-resolution reconstruction of the human brain. This achievement, made possible by the fusion of scientific imaging and Google's [AI](https://gantnews.com) algorithms, leads the way for discoveries about brain function.
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NeuralGCM, a brand-new maker learning-based method to replicating Earth's atmosphere, is presented. Developed in partnership 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 resolved four out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the same level as a silver medalist in the competition for the first time. The IMO is the oldest, largest and most prominent competition for young mathematicians, and has actually likewise become extensively recognized as a grand challenge in artificial intelligence.
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