Skip to content

  • Projects
  • Groups
  • Snippets
  • Help
    • Loading...
    • Help
    • Submit feedback
  • Sign in / Register
G
geometrx
  • Project
    • Project
    • Details
    • Activity
    • Cycle Analytics
  • Issues 28
    • Issues 28
    • List
    • Board
    • Labels
    • Milestones
  • Merge Requests 0
    • Merge Requests 0
  • CI / CD
    • CI / CD
    • Pipelines
    • Jobs
    • Schedules
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Members
    • Members
  • Collapse sidebar
  • Activity
  • Create a new issue
  • Jobs
  • Issue Boards
  • Mason St Ledger
  • geometrx
  • Issues
  • #18

Closed
Open
Opened Apr 07, 2025 by Mason St Ledger@anfmason512001
  • Report abuse
  • New issue
Report abuse New issue

The IMO is The Oldest


Google starts utilizing maker discovering to aid with spell checker at scale in Search.

Google releases Google Translate using machine learning to immediately translate languages, beginning with Arabic-English and English-Arabic.

A new era of AI begins when Google researchers enhance speech acknowledgment with Deep Neural Networks, which is a new maker discovering architecture loosely modeled after the neural structures in the human brain.

In the well-known "feline paper," Google Research starts using large sets of "unlabeled data," like videos and photos from the internet, to substantially improve AI image classification. Roughly comparable to human learning, the neural network recognizes images (consisting of felines!) from direct exposure rather of direct instruction.

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 decade following, and winning the NeurIPS 2023 "Test of Time" Award.

AtariDQN is the first Deep Learning design to effectively learn control policies straight from high-dimensional sensory input using support learning. It played Atari video games from simply the raw pixel input at a level that superpassed a human specialist.

Google presents Sequence To Sequence Learning With Neural Networks, a powerful machine learning technique that can discover to translate languages and summarize text by reading words one at a time and remembering what it has read in the past.

Google obtains DeepMind, one of the leading AI research study laboratories on the planet.

Google releases RankBrain in Search and Ads supplying a much better understanding of how words connect to concepts.

Distillation permits intricate designs to run in production by minimizing their size and latency, while keeping the majority of the efficiency of larger, more computationally pricey models. It has actually been utilized to enhance Google Search and Smart Summary for Gmail, Chat, Docs, and more.

At its annual I/O developers conference, Google introduces Google Photos, a brand-new app that utilizes AI with search capability to look for and gain access to your memories by the people, locations, and things that matter.

Google presents TensorFlow, a new, scalable open source maker discovering structure utilized in speech recognition.

Google Research proposes a new, decentralized approach to training AI called Federated Learning that guarantees better security and scalability.

AlphaGo, a computer system program established by DeepMind, plays the famous Lee Sedol, winner of 18 world titles, well known for his creativity and commonly thought about to be one of the greatest gamers of the previous years. During the video games, AlphaGo played several inventive winning relocations. In video game 2, it played Move 37 - an innovative move assisted AlphaGo win the video game and upended centuries of standard wisdom.

Google publicly reveals the Tensor Processing Unit (TPU), custom-made information center silicon developed specifically for artificial intelligence. After that statement, the TPU continues to gain momentum:

- • TPU v2 is announced in 2017

- • TPU v3 is announced at I/O 2018

- • TPU v4 is announced at I/O 2021

- • At I/O 2022, Sundar reveals the world's biggest, publicly-available machine discovering hub, powered by TPU v4 pods and based at our information center in Mayes County, Oklahoma, which runs on 90% carbon-free energy.

Developed by researchers at DeepMind, WaveNet is a brand-new deep neural network for producing raw audio waveforms allowing it to design natural sounding speech. WaveNet was utilized to model a number of the voices of the Google Assistant and other Google services.

Google reveals the Google Neural Machine Translation system (GNMT), which uses cutting edge training strategies to attain the largest improvements to date for machine translation quality.

In a paper published in the Journal of the American Medical Association, Google demonstrates that a machine-learning driven system for diagnosing diabetic retinopathy from a retinal image could perform on-par with board-certified ophthalmologists.

Google releases "Attention Is All You Need," a term paper that introduces the Transformer, a novel neural network architecture particularly well suited for language understanding, amongst lots of other things.

Introduced DeepVariant, an open-source genomic alternative caller that considerably enhances the accuracy of determining variant areas. This innovation in Genomics has actually contributed to the fastest ever human genome sequencing, and helped develop the world's very first human pangenome recommendation.

Google Research launches JAX - a Python library designed for high-performance numerical computing, specifically machine discovering research study.

Google announces Smart Compose, a new function in Gmail that uses AI to help users faster respond to their email. Smart Compose develops on Smart Reply, another AI feature.

Google publishes its AI Principles - a set of standards that the company follows when developing and utilizing synthetic intelligence. The concepts are developed to make sure that AI is used in a method that is advantageous to society and respects human rights.

Google presents a new method for natural language processing pre-training called Bidirectional Encoder Representations from Transformers (BERT), assisting Search better understand users' questions.

AlphaZero, a general reinforcement learning algorithm, masters chess, shogi, and Go through self-play.

Google's Quantum AI demonstrates for the very first time a computational job that can be executed significantly 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 gadget.

Google Research proposes using maker discovering itself to help in producing computer chip hardware to accelerate the design process.

DeepMind's AlphaFold is acknowledged as a solution to the 50-year "protein-folding problem." AlphaFold can precisely predict 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.

At I/O 2021, Google reveals MUM, multimodal designs that are 1,000 times more effective than BERT and allow people to naturally ask questions throughout different types of details.

At I/O 2021, Google announces LaMDA, a brand-new conversational innovation brief for "Language Model for Dialogue Applications."

Google reveals Tensor, a custom-made System on a Chip (SoC) designed to bring advanced AI experiences to Pixel users.

At I/O 2022, Sundar reveals PaLM - or Pathways Language Model - Google's biggest language model to date, trained on 540 billion parameters.

Sundar reveals LaMDA 2, Google's most advanced conversational AI model.

Google announces Imagen and Parti, 2 designs that use various techniques to create photorealistic images from a text description.

The AlphaFold Database-- which included over 200 million proteins structures and nearly all cataloged proteins understood to science-- is launched.

Google announces Phenaki, a model that can create realistic videos from text triggers.

Google developed Med-PaLM, a clinically fine-tuned LLM, which was the first design to attain a passing score on a medical licensing exam-style question benchmark, showing its capability to properly respond to medical concerns.

Google introduces MusicLM, an AI model that can generate music from text.

Google's Quantum AI attains the world's first presentation of lowering mistakes in a quantum processor by increasing the variety of qubits.

Google launches Bard, an early experiment that lets individuals work together with generative AI, initially in the US and UK - followed by other countries.

DeepMind and setiathome.berkeley.edu Google's Brain team merge to form Google DeepMind.

Google introduces PaLM 2, our next generation large language design, that constructs on Google's legacy of advancement research study in artificial intelligence and responsible AI.

GraphCast, an AI model for faster and more precise worldwide weather forecasting, is presented.

GNoME - a deep knowing tool - is utilized to discover 2.2 million brand-new crystals, consisting of 380,000 steady materials that might power future technologies.

Google introduces Gemini, our most capable and basic design, constructed from the ground up to be multimodal. Gemini has the ability to generalize and effortlessly understand, operate throughout, and integrate different kinds of details including text, code, audio, image and video.

Google expands the Gemini ecosystem to introduce a new generation: Gemini 1.5, and brings Gemini to more items like Gmail and Docs. Gemini Advanced released, giving people access to Google's the majority of capable AI models.

Gemma is a family of light-weight state-of-the art open from the very same research study and technology used to produce the Gemini designs.

Introduced AlphaFold 3, a brand-new AI 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 capabilities, totally free, through AlphaFold Server.

Google Research and Harvard released the very first synaptic-resolution reconstruction of the human brain. This accomplishment, made possible by the fusion of clinical imaging and Google's AI algorithms, leads the way for discoveries about brain function.

NeuralGCM, a new maker learning-based approach to replicating Earth's environment, is presented. Developed in partnership with the European Centre for Medium-Range Weather Report (ECMWF), NeuralGCM combines standard physics-based modeling with ML for improved simulation precision and efficiency.

Our combined AlphaProof and AlphaGeometry 2 systems resolved 4 out of six issues from the 2024 International Mathematical Olympiad (IMO), attaining the exact same level as a silver medalist in the competition for the first time. The IMO is the earliest, largest and most distinguished competition for young mathematicians, and has actually likewise become extensively acknowledged as a grand challenge in artificial intelligence.

Assignee
Assign to
None
Milestone
None
Assign milestone
Time tracking
None
Due date
None
0
Labels
None
Assign labels
  • View project labels
Reference: anfmason512001/geometrx#18