From 179580353190ed91547b11716a28fab6c4eaabaa Mon Sep 17 00:00:00 2001 From: Abdul Christiansen Date: Sat, 12 Apr 2025 10:47:26 +0800 Subject: [PATCH] Update '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..22d755a --- /dev/null +++ b/The-IMO-is-The-Oldest.md @@ -0,0 +1,55 @@ +
Google begins using machine learning to aid with [spell checker](http://gpra.jpn.org) at scale in Search.
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Google introduces Google Translate using maker finding out to automatically translate languages, starting with Arabic-English and English-Arabic.
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A new era of [AI](https://m1bar.com) begins when Google researchers enhance speech acknowledgment with Deep Neural Networks, which is a brand-new maker learning architecture loosely imitated the neural structures in the human brain.
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In the famous "cat paper," Google Research begins utilizing big sets of "unlabeled information," like videos and images from the web, to significantly improve [AI](https://www.kritterklub.com) image classification. Roughly comparable to human knowing, the neural network acknowledges images (consisting of felines!) from direct exposure instead of direct direction.
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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 decade following, and winning the NeurIPS 2023 "Test of Time" Award.
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AtariDQN is the very first Deep Learning model to effectively find out control policies straight from high-dimensional sensory input utilizing reinforcement knowing. 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 machine discovering strategy that can find out to equate languages and sum up text by reading words one at a time and remembering what it has read in the past.
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[Google obtains](https://git.amic.ru) DeepMind, one of the leading [AI](https://h2bstrategies.com) research study laboratories worldwide.
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Google deploys RankBrain in Search and Ads providing a much better understanding of how words relate to concepts.
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Distillation enables complicated models to run in production by reducing their size and latency, while keeping most of the performance of bigger, more computationally pricey designs. It has been utilized to improve Google Search and Smart Summary for Gmail, Chat, Docs, and more.
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At its yearly I/O designers conference, Google introduces Google Photos, a new app that utilizes [AI](https://www.hijob.ca) 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 brand-new, scalable open source device finding out structure used in speech recognition.
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Google Research proposes a new, decentralized approach to training [AI](https://git.novisync.com) called Federated Learning that assures enhanced security and scalability.
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AlphaGo, a computer [program developed](https://www.facetwig.com) by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his creativity and extensively considered to be among the biggest players of the past decade. During the games, AlphaGo played a number of inventive winning relocations. In game 2, it played Move 37 - a creative move [assisted AlphaGo](https://www.trappmasters.com) win the game and upended centuries of standard wisdom.
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Google publicly announces the Tensor Processing Unit (TPU), custom-made data center silicon developed specifically for artificial intelligence. After that announcement, 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 announced at I/O 2021
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- • At I/O 2022, Sundar announces the world's biggest, publicly-available maker learning center, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which operates on 90% carbon-free energy.
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Developed by scientists at DeepMind, WaveNet is a new deep neural network for [creating raw](https://agalliances.com) audio waveforms enabling it to model natural sounding speech. WaveNet was utilized to design a lot of the voices of the Google Assistant and other Google services.
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Google reveals the Google Neural Machine Translation system (GNMT), [wiki.dulovic.tech](https://wiki.dulovic.tech/index.php/User:RoscoeTichenor2) which uses state-of-the-art training techniques to attain the biggest improvements to date for device 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 could carry out on-par with board-certified ophthalmologists.
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Google releases "Attention Is All You Need," a research paper that introduces the Transformer, a novel neural network architecture especially well suited for language understanding, amongst lots of other things.
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Introduced DeepVariant, an open-source genomic alternative caller that [considerably improves](http://huaang6688.gnway.cc3000) the precision of recognizing alternative places. This development in Genomics has actually contributed to the [fastest](https://gitea.evo-labs.org) ever human genome sequencing, and [it-viking.ch](http://it-viking.ch/index.php/User:DaniloMazure74) assisted create the world's first human pangenome referral.
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Google Research launches JAX - a Python library created for high-performance numerical computing, particularly machine discovering research.
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Google reveals Smart Compose, a brand-new feature in Gmail that utilizes [AI](https://socialeconomy4ces-wiki.auth.gr) to help users faster respond to their email. Smart Compose develops on Smart Reply, another [AI](https://hub.tkgamestudios.com) feature.
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Google publishes its [AI](https://git.tea-assets.com) Principles - a set of guidelines that the company follows when establishing and using synthetic intelligence. The principles are created to guarantee that [AI](http://git.huxiukeji.com) is used in such a way that is advantageous to society and respects human rights.
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Google introduces a new strategy for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), helping Search better understand users' questions.
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AlphaZero, a general [support learning](https://wiki.atlantia.sca.org) algorithm, masters chess, shogi, and Go through self-play.
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Google's Quantum [AI](https://bug-bounty.firwal.com) demonstrates for the first time a computational task that can be performed significantly 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](https://wiki.vst.hs-furtwangen.de) using machine discovering itself to assist in creating computer chip hardware to speed up the style procedure.
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DeepMind's AlphaFold is recognized as a solution to the 50-year "protein-folding problem." AlphaFold can accurately forecast 3D models of protein structures and is speeding up research study in biology. This work went on to get a [Nobel Prize](https://abstaffs.com) in Chemistry in 2024.
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At I/O 2021, Google reveals MUM, [multimodal](https://pattonlabs.com) models that are 1,000 times more effective than BERT and permit individuals to naturally ask [concerns](https://www.ycrpg.com) throughout different kinds 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 customized System on a Chip (SoC) created to bring innovative [AI](https://maarifatv.ng) 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 parameters.
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[Sundar reveals](http://povoq.moe1145) LaMDA 2, Google's most innovative conversational [AI](https://platform.giftedsoulsent.com) model.
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Google reveals Imagen and Parti, 2 designs that utilize various techniques to generate photorealistic images from a text description.
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The AlphaFold Database-- which included over 200 million proteins structures and nearly all cataloged proteins understood to science-- is released.
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Google reveals Phenaki, a model that can generate practical videos from text triggers.
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Google established Med-PaLM, a clinically fine-tuned LLM, which was the first model to attain a passing score on a medical licensing exam-style question criteria, demonstrating its capability to properly answer medical questions.
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Google presents MusicLM, an [AI](https://medicalstaffinghub.com) design that can create music from text.
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Google's Quantum [AI](https://youarealways.online) attains the world's first demonstration of decreasing 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](http://106.52.242.177:3000), first in the US and UK - followed by other countries.
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DeepMind and Google's Brain team merge to form Google DeepMind.
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Google releases PaLM 2, our next generation large language model, that builds on Google's legacy of development research study in artificial intelligence and responsible [AI](https://git.lain.church).
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GraphCast, an [AI](http://39.101.134.26:9800) design for faster and more accurate global weather condition forecasting, is introduced.
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GNoME - a deep [learning tool](https://pak4job.com) - is used to discover 2.2 million new crystals, consisting of 380,000 stable materials that could power future technologies.
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Google introduces Gemini, our most capable and general design, constructed from the ground up to be multimodal. Gemini has the ability to generalize and seamlessly understand, operate across, and various kinds of [details consisting](https://www.trabahopilipinas.com) of text, code, audio, image and video.
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Google broadens the Gemini environment to present a new generation: Gemini 1.5, and brings Gemini to more products like Gmail and Docs. Gemini Advanced introduced, offering people access to Google's many capable [AI](https://cello.cnu.ac.kr) models.
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Gemma is a family of [light-weight state-of-the](https://source.lug.org.cn) art open models developed from the same research and technology used to develop the Gemini models.
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Introduced AlphaFold 3, a new [AI](https://site4people.com) model established by Google DeepMind and Isomorphic Labs that predicts the structure of proteins, DNA, RNA, ligands and more. [Scientists](https://seekinternship.ng) can access the bulk of its abilities, for complimentary, through AlphaFold Server.
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Google Research and Harvard published the first synaptic-resolution restoration of the human brain. This accomplishment, enabled by the fusion of scientific imaging and Google's [AI](https://3.123.89.178) algorithms, leads the way for discoveries about brain function.
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NeuralGCM, a new device learning-based approach to imitating Earth's atmosphere, is presented. Developed in collaboration with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM integrates conventional physics-based modeling with ML for improved simulation precision and effectiveness.
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Our combined AlphaProof and AlphaGeometry 2 systems solved 4 out of six problems from the 2024 International Mathematical Olympiad (IMO), attaining the very same level as a silver medalist in the competition for the first time. The IMO is the oldest, biggest and most prestigious competition for young mathematicians, and has also ended up being extensively acknowledged as a grand challenge in artificial intelligence.
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