DeepMind Archives - Liwaiwai

Boost Medical Discoveries With AlphaFold On Vertex AI

There’s a lot we can learn from combining technology with science to help support the development of amazing discoveries. By using an AI system to predict protein shapes, we have the potential to accelerate research in every field of biology. Inside every cell in your body, billions of tiny molecular machines are hard at work. They are what allow your eyes to detect light, your neurons to fire, and the ‘instructions’ in your DNA to be read. These intricate machines are known as proteins. The protein folding puzzle Protein folding is something that occurs naturally so that proteins become biologically…

Artificial Intelligence

Google’s Commitment On Using AI To Accelerate Progress On Global Development Goals

I joined Google earlier this year to lead a new function: Technology & Society. Our aim is to help connect research, people and ideas across Google to shape the future of our technology innovations and their impact on society for the better. A key area of focus is AI, a field I have studied and immersed myself in over the years. I recently met with a team at the Google AI Center in Ghana that is using advanced technology to address an ancient problem: detecting locust outbreaks which threaten food security and livelihoods for millions of people. And in India…

AI Reveals Unsuspected Math Underlying Search For Exoplanets

Artist’s concept of a sun-like star (left) and a rocky planet about 60% larger than Earth in orbit in the star’s habitable zone. Gravitational microlensing has the ability to detect such planetary systems and determine the masses and orbital distances, even though the planet itself is too dim to be seen. (Image credit: NASA Ames/JPL-Caltech/T. Pyle) Artificial intelligence (AI) algorithms trained on real astronomical observations now outperform astronomers in sifting through massive amounts of data to find new exploding stars, identify new types of galaxies and detect the mergers of massive stars, accelerating the rate of new discovery in…

Predicting The Past With Ithaca

Restoring, placing, and dating ancient texts through collaboration between AI and historians. The birth of human writing marked the dawn of History and is crucial to our understanding of past civilisations and the world we live in today. For example, more than 2,500 years ago, the Greeks began writing on stone, pottery, and metal to document everything from leases and laws to calendars and oracles, giving a detailed insight into the Mediterranean region. Unfortunately, it’s an incomplete record. Many of the surviving inscriptions have been damaged over the centuries or moved from their original location. In addition, modern dating techniques, such as radiocarbon…

AI Makes Huge Progress Predicting How Proteins Fold – One Of Biology’s Greatest Challenges – Promising Rapid Drug Development

Takeaways A “deep learning” software program from Google-owned lab DeepMind showed great progress in solving one of biology’s greatest challenges – understanding protein folding. Protein folding is the process by which a protein takes its shape from a string of building blocks to its final three-dimensional structure, which determines its function. By better predicting how proteins take their structure, or “fold,” scientists can more quickly develop drugs that, for example, block the action of crucial viral proteins. Solving what biologists call “the protein-folding problem” is a big deal. Proteins are the workhorses of cells and are present in all living…

Artificial Intelligence

A Neural Network Learns When It Should Not Be Trusted

Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous driving or medical diagnosis. These networks are good at recognizing patterns in large, complex datasets to aid in decision-making. But how do we know they’re correct? Alexander Amini and his colleagues at MIT and Harvard University wanted to find out. They’ve developed a quick way for a neural network to crunch data, and output not just a prediction but also the model’s confidence level based on the quality of the available data. The advance might…

Toward A Machine Learning Model That Can Reason About Everyday Actions

The ability to reason abstractly about events as they unfold is a defining feature of human intelligence. We know instinctively that crying and writing are means of communicating, and that a panda falling from a tree and a plane landing are variations on descending. Organizing the world into abstract categories does not come easily to computers, but in recent years researchers have inched closer by training machine learning models on words and images infused with structural information about the world, and how objects, animals, and actions relate. In a new study at the European Conference on Computer Vision this month,…

Traffic Prediction With Advanced Graph Neural Networks

By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today we’re delighted to share the results of our latest partnership, delivering a truly global impact for the more than one billion people that use Google Maps. Collaboration with Google Maps People rely on Google Maps for accurate traffic predictions and estimated times of arrival (ETAs). These are critical tools that are…

Artificial Intelligence

Robots Can Outwit Us On The Virtual Battlefield, So Let’s Not Put Them In Charge Of The Real Thing

Artificial intelligence developer DeepMind has just announced its latest milestone: a bot called AlphaStar that plays the popular real-time strategy game StarCraft II at Grandmaster level. This isn’t the first time a bot has outplayed humans in a strategy war game. In 1981, a program called Eurisko, developed by artificial intelligence (AI) pioneer Doug Lenat, won the US championship of Traveller, a highly complex strategy war game in which players design a fleet of 100 ships. Eurisko was consequently made an honorary Admiral in the Traveller navy. The following year, the tournament rules were overhauled in an attempt to thwart…

Programming

PyCon 2019 | Modern Solvers: Problems Well-Defined Are Problems Solved

PyCon 2019 | Modern solvers: Problems well-defined are problems solved Speaker: Raymond Hettinger Every programmer should learn to use solvers, tools that reason directly from a description of a problem to its solution. Tools like AlphaZero can formulate winning strategies for games given only a description of the rules of the game. For certain classes of problems, we really can just let the computer do the work. In this talk, we learn principles, techniques, and multiple examples for three solvers available in Python. The first tool is a generic puzzle-solving framework that employs tree search strategies. We apply it…

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