Tag
deepmind
19 verified claims carrying this tag. Each cites primary evidence; the source count is shown on every record.
Chinchilla scaling laws introduced in paper: Training Compute-Optimal Large Language Models (Hoffmann et al., 2022).
8befcae6bce01a95 · 2 sources · 100% confidence
DeepMind acquired by google on: 2014-01-26.
25a8f486a0947790 · 2 sources · 95% confidence
AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021).
477bc19212addf9a · 2 sources · 100% confidence
Gemini 2.0 announced on: 2024-12-11.
bc1d6baa80070e80 · 1 source · 100% confidence
AlphaFold 3 released on: 2024-05-08.
bfae8cafd2eb0bf8 · 2 sources · 100% confidence
AlphaGo defeated: Lee Sedol 4-1 in March 2016.
0318700337f0906d · 2 sources · 100% confidence
AlphaZero published in: Science journal December 2018.
b2dbbb7283a89f21 · 2 sources · 100% confidence
Gemini Ultra publicly released on: 2024-02-08 via Gemini Advanced subscription.
d2ac7cd6fc8b1156 · 2 sources · 100% confidence
Flamingo introduced in: Alayrac et al. 2022 — DeepMind few-shot vision-language model.
72ea74efc723bd06 · 2 sources · 100% confidence
JAX publicly released on: 2018-12-10 by Google Research.
3652d087edc1e228 · 2 sources · 100% confidence
AlphaFold 1 introduced in: Senior et al. 2020 — DeepMind protein structure prediction.
a77a8dd48941a53d · 2 sources · 100% confidence
Gemini 2.5 Pro publicly released on: 2025-03-25 by Google DeepMind.
1529ff37ac65916a · 2 sources · 100% confidence
Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs.
9d7676f71d1ee4f3 · 2 sources · 100% confidence
Google Gemma 2 publicly released on: 2024-06-27 by Google DeepMind — Gemma 2 family (9B + 27B), Gemma terms.
34ccd18a9fbc50d2 · 2 sources · 100% confidence
Google Gemma 3 publicly released on: 2025-03-12 by Google DeepMind — Gemma 3 family (1B/4B/12B/27B), 128k context, multimodal vision.
a832aaba30ee658e · 2 sources · 100% confidence
Neural Turing Machine introduced in paper: Neural Turing Machines (Graves et al., 2014).
139236c659c84aef · 2 sources · 82% confidence
Deep Q-Network (DQN) introduced in paper: Playing Atari with Deep Reinforcement Learning (Mnih et al., 2013).
8927d20ad0b3849f · 2 sources · 82% confidence
WaveNet introduced in paper: WaveNet: A Generative Model for Raw Audio (van den Oord et al., 2016).
9b21377fcab5dd64 · 2 sources · 82% confidence
PixelRNN introduced in paper: Pixel Recurrent Neural Networks (van den Oord et al., 2016).
e19ab9089aadf1f5 · 2 sources · 82% confidence