Artificial Intelligence

Posted by Srivatsan Krishnan, Student Researcher, and Aleksandra Faust, Senior Staff Research Scientist, Google Research, Brain Team Deep reinforcement learning (RL) continues to make great strides in solving real-world sequential decision-making problems such as balloon navigation, nuclear physics, robotics, and games. Despite its promise, one of its limiting factors is long training times. While the…

To receive The Algorithm in your inbox every Monday, sign up here. Welcome to the Algorithm!  Some technologists hope that one day we will develop a superintelligent AI system that people will be able to have conversations with. Ask it a question, and it will offer an answer that sounds like something composed by a human…

The AI Policy Forum (AIPF) is an initiative of the MIT Schwarzman College of Computing to move the global conversation about the impact of artificial intelligence from principles to practical policy implementation. Formed in late 2020, AIPF brings together leaders in government, business, and academia to develop approaches to address the societal challenges posed by…

This episode, we’re doing something a little bit different. Join us as we take a trip to a Californian vineyard to learn about how it’s deploying sensors and other forms of AI. We meet:  Dirk Heuvel, vice president of vineyard operations, McManis Family Vineyards Credits: This episode was produced by Jennifer Strong with help from…

Wayve, a driverless-car startup based in London, has made a machine-learning model that can drive two different types of vehicle: a passenger car and a delivery van. It is the first time the same AI driver has learned to drive multiple vehicles. The news comes less than a year after Wayve showed that it could…

Although Fernanda De La Torre still has several years left in her graduate studies, she’s already dreaming big when it comes to what the future has in store for her. “I dream of opening up a school one day where I could bring this world of understanding of cognition and perception into places that would…

Posted by Jeremy Maitin-Shepard and Laramie Leavitt, Software Engineers, Connectomics at Google Many exciting contemporary applications of computer science and machine learning (ML) manipulate multidimensional datasets that span a single large coordinate system, for example, weather modeling from atmospheric measurements over a spatial grid or medical imaging predictions from multi-channel image intensity values in a…

The trick to making a good AI-powered chatbot might be to have humans tell it how to behave—and force the model to back up its claims using the internet, according to a new paper by Alphabet-owned AI lab DeepMind.  In a new non-peer-reviewed paper out today, the team unveils Sparrow, an AI chatbot that is…

Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research A long-standing problem in the intersection of computer vision and computer graphics, view synthesis is the task of creating new views of a scene from multiple pictures of that scene. This has received increased attention [1, 2, 3] since the introduction of neural radiance…

Parkinson’s disease is the fastest-growing neurological disease, now affecting more than 10 million people worldwide, yet clinicians still face huge challenges in tracking its severity and progression. Clinicians typically evaluate patients by testing their motor skills and cognitive functions during clinic visits. These semisubjective measurements are often skewed by outside factors — perhaps a patient…