Latest from MIT : MIT’s FutureMakers programs help kids get their minds around — and hands on — AI

As she was looking for a camp last summer, Yabesra Ewnetu, who’d just finished eighth grade, found a reference to MIT’s FutureMakers Create-a-thon. Ewnetu had heard that it’s hard to detect bias in artificial intelligence because AI algorithms are so complex, but this didn’t make sense to her. “I was like, well, we’re the ones…

Latest from MIT Tech Review – How AI Is Powering the Future of Financial Services

The use of AI in finance is gaining traction as organizations realize the advantages of using algorithms to streamline and improve the accuracy of financial tasks. Step through use cases that examine how AI can be used to minimize financial risk, maximize financial returns, optimize venture capital funding by connecting entrepreneurs to the right investors;…

Latest from MIT Tech Review – AI Integration Across Industries

To create sustainable business impact, AI capabilities need to be tailored and optimized to an industry or organization’s specific requirements and infrastructure model. Hear how customers’ challenges across industries can be addressed in any compute environment from the cloud to the edge with end-to-end hardware and software optimization. About the speakers Kavitha Prasad, VP &…

Latest from Google AI – Large-Scale Matrix Factorization on TPUs

Posted by Harsh Mehta, Software Engineer, Google Research Matrix factorization is one of the oldest, yet still widely used, techniques for learning how to recommend items such as songs or movies from user ratings. In its basic form, it approximates a large, sparse (i.e., mostly empty) matrix of user-item interactions with a product of two…

Latest from MIT Tech Review – Business-Ready Data Holds the Key to AI Democratization

Good data is the bedrock of a self-service data consumption model, which in turn unlocks insights, analytics, personalization at scale through AI. Yet many organizations face immense challenges setting up a robust data foundation. Dive into a pragmatic perspective on abstracting the complexity and untangling the conflicts in data management for better AI. About the…

Latest from Google AI – VDTTS: Visually-Driven Text-To-Speech

Posted by Tal Remez, Software Engineer, Google Research and Micheal Hassid, Software Engineer Intern, Google Research Recent years have seen a tremendous increase in the creation and serving of video content to users across the world in a variety of languages and over numerous platforms. The process of creating high quality content can include several…

Google AR & VR – Here’s how online shoppers are finding inspiration

People shop across Google more than a billion times a day — and we have a pretty good sense of what they’re browsing for. For instance, our Search data shows that the early 2000’s are having a moment. We’re seeing increased search interest in “Y2k fashion” and products like bucket hats and ankle bracelets. Also…

Latest from Google AI – Efficiently Initializing Reinforcement Learning With Prior Policies

Posted by Ikechukwu Uchendu, AI Resident and Ted Xiao, Software Engineer, Robotics at Google Reinforcement learning (RL) can be used to train a policy to perform a task via trial and error, but a major challenge in RL is learning policies from scratch in environments with hard exploration challenges. For example, consider the setting depicted…

Latest from MIT : An optimized solution for face recognition

The human brain seems to care a lot about faces. It’s dedicated a specific area to identifying them, and the neurons there are so good at their job that most of us can readily recognize thousands of individuals. With artificial intelligence, computers can now recognize faces with a similar efficiency — and neuroscientists at MIT’s…