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Predictions that pave the way to new treatments
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How our principles helped define AlphaFold’s release
Our Operating Principles have come to define both our commitment to prioritising widespread benefit, as well as the areas of research and applications we refuse to pursue. These principles have been at the heart of our decision making since DeepMind was founded, and continue to be refined as the AI landscape changes and grows. They are designed for our role as a research-driven science company and consistent with...
Maximising the impact of our breakthroughs
Colin, CBO at DeepMind, discusses collaborations with Alphabet and how we integrate ethics, accountability, and safety into everything we do.
My journey from DeepMind intern to mentor
Former intern turned intern manager, Richard Everett, describes his journey to DeepMind, sharing tips and advice for aspiring DeepMinders. The 2023 internship applications will open on the 16th September, please visit https://dpmd.ai/internshipsatdeepmind for more information.
In conversation with AI: building better language models
Our new paper, In conversation with AI: aligning language models with human values, explores a different approach, asking what successful communication between humans and an artificial conversational agent might look like and what values should guide conversation in these contexts.
From motor control to embodied intelligence
Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football
Advancing conservation with AI-based facial recognition of turtles
We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI. Inspired by Zindi’s...
Discovering when an agent is present in a system
We want to build safe, aligned artificial general intelligence (AGI) systems that pursue the intended goals of its designers. Causal influence diagrams (CIDs) are a way to model decision-making situations that allow us to reason about agent incentives. By relating training setups to the incentives that shape agent behaviour, CIDs help illuminate potential risks before training an agent and can inspire better agent...
Realising scientists are the real superheroes
Meet Edgar Duéñez-Guzmán, a research engineer on our Multi-Agent Research team who’s drawing on knowledge of game theory, computer science, and social evolution to get AI agents working better together.
The race to cure a billion people from a deadly parasitic disease
Accelerating the search for life saving leishmaniasis treatments
Tracing the evolution of proteins back to the origin of life
Looking into a protein’s past to unlock the mysteries of life itself
How the honeybee could help protect species around the world
New insights into immunity to help protect the world’s flora
AlphaFold transforms biology for millions around the world
Big data that leads to discoveries that benefit everyone
Advancing discovery of better drugs and medicine
Researchers are designing more effective drugs than ever before
Creating plastic-eating enzymes that could save us from pollution
Helping plastics become 100% recyclable
AlphaFold unlocks one of the greatest puzzles in biology
Piecing together one of the largest molecular structures in human cells
Accelerating the race against antibiotic resistance
Unlocking a decade of data in minutes to help beat antibiotic resistance
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.
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...
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.
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.
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...
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.
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.
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.
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 […]
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 […]
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 […]
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. […]
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; […]
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 […]
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 […]
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 […]
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 […]
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 […]