DeepMind

40 Posts

Diagram of AI cooling process on large data centers
DeepMind

Energy-Efficient Cooling: Google's DeepMind algorithms dramatically boost energy efficiency in its data centers.

A reinforcement learning model maintains cooler temperatures in large data centers and other buildings.
DeepMind’s Offspring Proliferate: The thriving startups founded by former DeepMind employees
DeepMind

DeepMind’s Offspring Proliferate: The thriving startups founded by former DeepMind employees

Where spores from DeepMind scatter, startups blossom. Nearly 200 former employees of Google’s elite AI research lab have gone on to found or join startups.
Stratego Master: DeepNash, the RL system that plays Stratego like a master
DeepMind

Stratego Master: DeepNash, the RL system that plays Stratego like a master

Reinforcement learning agents have mastered games like Go that provide complete information about the state of the game to players. They’ve also excelled at Texas Hold ’Em poker, which provides incomplete information, as few cards are revealed.
Optimizing Matrix Multiplication:  AlphaTensor for faster matrix multiplication, explained
DeepMind

Optimizing Matrix Multiplication: AlphaTensor for faster matrix multiplication, explained

Matrix multiplication is executed so often in deep learning, video games, and scientific computing that even a slight acceleration can save substantial amounts of processing time. New work finds ways to speed up this crucial operation.
Screen captures of the Sparrow Chatbot
DeepMind

Google’s Rule-Respecting Chatbot: Research helps AI chatbots be more truthful and less hateful.

Amid speculation about the threat posed by OpenAI’s ChatGPT chatbot to Google’s search business, a paper shows how the search giant might address the tendency of such models to produce offensive, incoherent, or untruthful dialog.
Illustration of The Grinch's hands coding on a tablet
DeepMind

Programmer’s Best Friend: Code generation services took off in 2022.

Behind schedule on a software project? There’s an app for that. Language models fine-tuned on computer code proved capable of generating software routines similar to the work of experienced developers — though the results can be hit-or-miss.
Dependency between compute budget and number of parameters
DeepMind

Right-Sizing Models for the Dataset: Finding the Best Data-To-Parameter Ratio for NLP Models

The route to improving transformer-based language models like GPT-3 and Gopher, which are trained on immense quantities of text scraped from the web, has been to increase their size. But research shows that, given a processing budget, bigger doesn’t necessarily mean better.
Paragraph with some highlighted phrases
DeepMind

Regulating AI in Undefined Terms: Experts Debate Definitions in European Union’s AI Act

A proposed European Union law that seeks to control AI is raising questions about what kinds of systems it would regulate. Experts at a roundtable staged by the Center for Data Innovation debated the implications of limitations in the EU’s forthcoming Artificial Intelligence Act.
Different videoclips showing windmills
DeepMind

Wind in the Forecast: AI Tool Predicts Wind Turbine Energy Output

Machine learning is making wind power more predictable. Engie SA, a multinational energy utility based in France, is the first customer for an AI-powered tool from Google that predicts the energy output of wind farms.
Animation showing optimizing a physical design
DeepMind

Airfoils Automatically Optimized: DeepMind AI Research Simulates Fluid Dynamics

Engineers who design aircraft, aqueducts, and other objects that interact with air and water use numerical simulations to test potential shapes, but they rely on trial and error to improve their designs. A neural simulator can optimize the shape itself.
Gato’s performance on simulated control tasks | Image captions generated by Gato
DeepMind

One Model, Hundreds of Tasks: Multimodal Transformer Performs Over 600 Different Tasks

Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.
Representation of the components of our controller design architecture
DeepMind

High-Energy Deep Learning: Machine learning helps stabilize nuclear fusion.

Nuclear fusion technology, long touted as an unlimited source of safe, clean energy, took a step toward reality with a machine learning algorithm that molds the fuel in a reactor’s core.
Illustration of how different data split strategies partition the labelled data
DeepMind

Fine-Tune Your Fine-Tuning: New method optimizes training for few shot NLP models.

Let’s say you have a pretrained language model and a small amount of data to fine-tune it to answer yes-or-no questions. Should you fine-tune it to classify yes/no or to fill in missing words — both viable approaches that are likely to yield different results?
Diagram with info about AlphaCode
DeepMind

Competitive Coder: AI code writing system can compete alongside humans.

Programming is hard. Programming competitions are harder. Yet transformers proved themselves up to the task.
Photograph of Yale Song
DeepMind

Yale Song: Foundation models for vision

Large models pretrained on immense quantities of text have been proven to provide strong foundations for solving specialized language tasks. My biggest hope for AI in 2022 is...
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