Deep Learning Archives - Liwaiwai

Using ML To Predict The Weather And Climate Risk

Introduction All beings on this planet are affected by atmosphericphenomena we call the weather. Because of this, humans have invented all sorts of measuring tools, and luckily have loads of data from observations. All this data has been on quite a technological journey; from being collected on paper and local servers in basements, to now living on open cloud platforms that normalize all the different sensor data for anyone to research. AI techniques to build improved predictive models have also made way using neural networks, called deep learning. My colleagues in Google Research who study AI Weather & Climate, built…

Intro To Deep Learning To Track Deforestation In Supply Chains

Intro to deep learning to track deforestation in supply chains Introduction In my experience, I have observed that it’s common in machine learning to surrender to the process of experimenting with many different algorithms in a trial and error fashion, until you get the desired result. My peers and I at Google have a People and Planet AI YouTube series where we talk about how to train and host a model for environmental purposes using Google Cloud and Google Earth Engine. Our focus is inspiring people to use deep learning, and if we could rename the series, we would call…

Artificial Intelligence

A New Genome Sequencing Tool Powered With Google’s Technology

Genome sequencing provides a more complete description of cells and organisms, allowing scientists to uncover serious genetic conditions such as the elevated risk for breast cancer or pulmonary arterial hypertension. While researching genomics has the potential to save lives and preserve people’s quality of life, it’s incredibly challenging work. Back in January, we announced a partnership with PacBio, a developer of genome sequencing instruments, to further advance genomic technologies. Today, PacBio is introducing the Revio sequencing system, an instrument that runs on our deep learning technology, DeepConsensus. With DeepConsensus built right into Revio, researchers can quickly and accurately identify genetic variants that cause diseases. How Google Health’s…

Deep Learning With Light

Ask a smart home device for the weather forecast, and it takes several seconds for the device to respond. One reason this latency occurs is because connected devices don’t have enough memory or power to store and run the enormous machine-learning models needed for the device to understand what a user is asking of it. The model is stored in a data center that may be hundreds of miles away, where the answer is computed and sent to the device. MIT researchers have created a new method for computing directly on these devices, which drastically reduces this latency. Their…

Explained: How To Tell If Artificial Intelligence Is Working The Way We Want It To

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer. These powerful deep-learning models are usually based on artificial neural networks, which were first proposed in the 1940s and have become a popular type of machine learning. A computer learns to process data using layers of interconnected nodes, or neurons, that mimic the human brain. As the field of machine learning has grown, artificial neural networks have grown along with it. Deep-learning models are now often composed of millions or billions of interconnected nodes in many…

Why Artificial Neural Networks Have A Long Way To Go Before They Can ‘See’ Like Us

Artificial neural networks were created to imitate processes in our brains, and in many respects – such as performing the quick, complex calculations necessary to win strategic games such as chess and Go – they’ve already surpassed us. But if you’ve ever clicked through a CAPTCHA test online to prove you’re human, you know that our visual cortex still reigns supreme over its artificial imitators (for now, at least). So if schooling world chess champions has become a breeze, what’s so hard about, say, positively identifying a handwritten ‘9’? This explainer from the US YouTuber Grant Sanderson, who creates…

Will Transformers Take Over Artificial Intelligence?

A simple algorithm that revolutionized how neural networks approach language is now taking on vision as well. It may not stop there. Imagine going to your local hardware store and seeing a new kind of hammer on the shelf. You’ve heard about this hammer: It pounds faster and more accurately than others, and in the last few years it’s rendered many other hammers obsolete, at least for most uses. And there’s more! With a few tweaks — an attachment here, a twist there — the tool changes into a saw that can cut at least as fast and as accurately…

Artificial Intelligence

Meta’s AI Learning Alliance Aims To Expand Pipeline Of Underrepresented Students In AI

Artificial intelligence (AI) offers important benefits for people in areas such as transportation, commerce, and beyond. While AI is constantly improving at understanding the dynamics of the world we live in, there is much more work to do. We’re firm believers that it will progress faster with early involvement from experts with diverse perspectives. If the researchers, developers, and engineers advancing AI come from a limited variety of backgrounds, the technology’s point of view will be similarly limited. Addressing this starts in classrooms. That’s why Meta, together with Georgia Tech, created the AI Learning Alliance (AILA), an expansion of the co-teaching program that…

Artificial Intelligence’s Promise And Peril

AS ALGORITHMS ANALYZE MAMMOGRAMS AND SMARTPHONES CAPTURE LIVED EXPERIENCES, RESEARCHERS ARE DEBATING THE USE OF AI IN PUBLIC HEALTH. John Quackenbush was frustrated with Google. It was January 2020, and a team led by researchers from Google Health had just published a study in Nature about an artificial intelligence (AI) system they had developed to analyze mammograms for signs of breast cancer. The system didn’t just work, according to the study, it worked exceptionally well. When the team fed it two large sets of images to analyze—one from the UK and one from the U.S.—it reduced false positives by 1.2 and 5.7 percent and…

Artificial Intelligence

Artificial Intelligence That Understands Object Relationships

When humans look at a scene, they see objects and the relationships between them. On top of your desk, there might be a laptop that is sitting to the left of a phone, which is in front of a computer monitor. Many deep learning models struggle to see the world this way because they don’t understand the entangled relationships between individual objects. Without knowledge of these relationships, a robot designed to help someone in a kitchen would have difficulty following a command like “pick up the spatula that is to the left of the stove and place it on…

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