Posts in tag

Deep Learning


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 …

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 …

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 …

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 …

“COMMON SENSE” is the Dark Matter of Artificial Intelligence. In the present era of Artificial Intelligence, Deep Learning, advanced quantum computing, we humans are literally surrounded by machines, everywhere, everyday. Many critics point to Artificial Intelligence as the main threat to humankind; while on the other hand, the supporters of AI claim that humans can …

Twenty years ago, Google started using machine learning, and 10 years ago, it helped spur rapid progress in AI using deep learning. Jeff Dean and Marian Croak of Google Research take a look at how we’ve innovated on these techniques and applied them in helpful ways, and look ahead to a responsible and inclusive path …

A new Stanford reinforcement learning system simulates evolution like never before. Hundreds of millions of years of evolution have blessed our planet with a wide variety of lifeforms, each intelligent in its own fashion. Each species has evolved to develop innate skills, learning capacities, and a physical form that ensure its survival in its environment. …

With the rise of cryptocurrencies around the world, there are now more ways than ever for people to invest their money. However, it’s not as simple as buying low and selling high. If you could accurately predict the stock market, you’d be one of the richest people on earth. As a result, there have been …

Today’s world is one big maze, connected by layers of concrete asphalt that afford us the luxury of navigation by vehicle. For much of our road-related advancements – GPS lets us fire fewer neurons thanks to map apps, cameras alert us to potentially costly scrapes and scratches, and electric autonomous cars have lower fuel costs …

Scholars see deep learning’s pitfalls and limitations, the computer industry just sees a huge opportunity in matrix multiplications. The era of deep learning began in 2006, when Geoffrey Hinton, a professor at the University of Toronto, who is one of the founders of that particular approach to artificial intelligence, theorized that greatly improved results could be achieved …