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The race to cure a billion people from a deadly parasitic disease

Accelerating the search for life saving leishmaniasis treatments

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Tracing the evolution of proteins back to the origin of life

Looking into a protein’s past to unlock the mysteries of life itself

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

How the honeybee could help protect species around the world

New insights into immunity to help protect the world’s flora

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

AlphaFold transforms biology for millions around the world

Big data that leads to discoveries that benefit everyone

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Advancing discovery of better drugs and medicine

Researchers are designing more effective drugs than ever before

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Creating plastic-eating enzymes that could save us from pollution

Helping plastics become 100% recyclable

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

AlphaFold unlocks one of the greatest puzzles in biology

Piecing together one of the largest molecular structures in human cells

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Accelerating the race against antibiotic resistance

Unlocking a decade of data in minutes to help beat antibiotic resistance

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

AlphaFold reveals the structure of the protein universe

Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.

Published on: July 28, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Putting the power of AlphaFold into the world’s hands

When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we created this highly innovative system, and today we’re sharing high-quality predictions for the shape of every single protein in the human body, as well as for the proteins of 20 additional organisms that scientists rely on...

Published on: July 22, 2022 | Source: DeepMind Blog favicon DeepMind Blog

The virtuous cycle of AI research

We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA.

Published on: July 19, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Perceiver AR: general-purpose, long-context autoregressive generation

We develop Perceiver AR, an autoregressive, modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal masking. Perceiver AR can directly attend to over a hundred thousand tokens, enabling practical long-context density estimation without the need for hand-crafted sparsity patterns or memory mechanisms.

Published on: July 16, 2022 | Source: DeepMind Blog favicon DeepMind Blog

DeepMind’s latest research at ICML 2022

Starting this weekend, the thirty-ninth International Conference on Machine Learning (ICML 2022) is meeting from 17-23 July, 2022 at the Baltimore Convention Center in Maryland, USA, and will be running as a hybrid event. Researchers working across artificial intelligence, data science, machine vision, computational biology, speech recognition, and more are presenting and publishing their cutting-edge work in machine...

Published on: July 15, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Intuitive physics learning in a deep-learning model inspired by developmental psychology

Despite significant effort, current AI systems pale in their understanding of intuitive physics, in comparison to even very young children. In the present work, we address this AI problem, specifically by drawing on the field of developmental psychology.

Published on: July 11, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Human-centred mechanism design with Democratic AI

In our recent paper, published in Nature Human Behaviour, we provide a proof-of-concept demonstration that deep reinforcement learning (RL) can be used to find economic policies that people will vote for by majority in a simple game. The paper thus addresses a key challenge in AI research - how to train AI systems that align with human values.

Published on: July 04, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Leading a movement to strengthen machine learning in Africa

Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.

Published on: June 23, 2022 | Source: DeepMind Blog favicon DeepMind Blog

Best Practices for Building the AI Development Platform in Government 

By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at theAI World Governmentevent held in-person and virtually […]

Published on: October 28, 2021 | Source: AI Trends favicon AI Trends

Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI 

By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That’s what attendees learned in two sessions at theAI […]

Published on: October 28, 2021 | Source: AI Trends favicon AI Trends

Promise and Perils of Using AI for Hiring: Guard Against Data Bias 

By AI Trends Staff WhileAI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully. That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at theAI World Governmentevent held live and virtually in […]

Published on: October 28, 2021 | Source: AI Trends favicon AI Trends

Predictive Maintenance Proving Out as Successful AI Use Case 

By John P. Desmond, AI Trends Editor More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value. This growth is reflected in optimistic market forecasts. […]

Published on: October 28, 2021 | Source: AI Trends favicon AI Trends

Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles 

By Lance Eliot, the AI Trends Insider We alreadyexpect that humans to exhibit flashes of brilliance.It might not happen all the time, but the act itself is welcomed and not altogether disturbing whenit occurs. What about when Artificial Intelligence (AI) seems to display an act of novelty?Any such instance is bound to get our attention; […]

Published on: October 28, 2021 | Source: AI Trends favicon AI Trends

Getting Government AI Engineers to Tune into AI Ethics Seen as Challenge 

By John P. Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad.The consideration of ethics in AI is highly nuanced, with vast gray areas, making it challenging for AI software engineers to […]

Published on: October 21, 2021 | Source: AI Trends favicon AI Trends

Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams 

By John P. Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion atAI World […]

Published on: October 21, 2021 | Source: AI Trends favicon AI Trends

How Accountability Practices Are Pursued by AI Engineers in the Federal Government  

ByJohn P. Desmond,AI TrendsEditor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at theAI World Governmentevent held virtually and in-person this week in Alexandria, Va. Taka Ariga, chief data scientist and director at the USGovernment Accountability Office,described an AI accountability framework he uses within his agency […]

Published on: October 21, 2021 | Source: AI Trends favicon AI Trends

Startup: AssemblyAI Represents New Generation Speech Recognition 

By AI Trends Staff Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion […]

Published on: October 21, 2021 | Source: AI Trends favicon AI Trends

Pursuit of Autonomous Cars May Pose Risk of AI Tapping Forbidden Knowledge

By Lance Eliot, the AI Trends Insider Are there things that we must not know? This is an age-old question.Some assert that there is the potential for knowledge that ought to not be known. In other words, there are ideas, concepts, or mental formulations that should we become aware of that knowledge it could be […]

Published on: October 21, 2021 | Source: AI Trends favicon AI Trends