Latest from Google AI – MURAL: Multimodal, Multi-task Retrieval Across Languages

Posted by Aashi Jain, AI Resident and Yinfei Yang, Staff Research Scientist, Google Research For many concepts, there is no direct one-to-one translation from one language to another, and even when there is, such translations often carry different associations and connotations that are easily lost for a non-native speaker. In such cases, however, the meaning…

Latest from Google AI – Evaluating Syntactic Abilities of Language Models

Posted by Jason Wei, AI Resident and Dan Garrette, Research Scientist, Google Research In recent years, pre-trained language models, such as BERT and GPT-3, have seen widespread use in natural language processing (NLP). By training on large volumes of text, language models acquire broad knowledge about the world, achieving strong performance on various NLP benchmarks….

Latest from Google AI – Permutation-Invariant Neural Networks for Reinforcement Learning

Posted by David Ha, Staff Research Scientist and Yujin Tang, Research Software Engineer, Google Research, Tokyo <!– “The brain is able to use information coming from the skin as if it were coming from the eyes. We don’t see with the eyes or hear with the ears, these are just the receptors, seeing and hearing…

Latest from MIT Tech Review – Podcast: What is AI? We made this radio play to help.

Defining what is, or isn’t artificial intelligence can be tricky (or tough). So much so, even the experts get it wrong sometimes. That’s why MIT Technology Review’s Senior AI Editor Karen Hao created a flowchart to explain it all. In this bonus content our host and her team reimagined Hao’s original reporting, gamifying it into…

Latest from MIT Tech Review – The Department of Defense is issuing AI ethics guidelines for tech contractors

In 2018, when Google employees found out about their company’s involvement in Project Maven, a controversial US military effort to develop AI to analyze surveillance video, they weren’t happy. Thousands protested. “We believe that Google should not be in the business of war,” they wrote in a letter to the company’s leadership. Around a dozen…

Latest from MIT Tech Review – High-performance, low-cost machine learning infrastructure is accelerating innovation in the cloud

Artificial intelligence and machine learning (AI and ML) are key technologies that help organizations develop new ways to increase sales, reduce costs, streamline business processes, and understand their customers better. AWS helps customers accelerate their AI/ML adoption by delivering powerful compute, high-speed networking, and scalable high-performance storage options on demand for any machine learning project….

Latest from MIT Tech Review – How computing has transformed

It’s time we began to “fixate on data” to solve our problems, says one of the world’s leading experts in data science. In 2006, Jeannette Wing, then the head of the computer science department at Carnegie Mellon University, published an influential essay titled “Computational Thinking,” arguing that everyone would benefit from using the conceptual tools…

Latest from MIT Tech Review – How AI digital twins help weather the world’s supply chain nightmare

With the supply-chain disruptions of the past two years showing no signs of easing anytime soon, businesses are turning to a new generation of AI-powered simulations called digital twins to help them get goods and services to customers on time. These tools not only predict disruptions down the line, but suggest what to do about…

Latest from MIT Tech Review – Robo-taxis are headed for a street near you

In the coming years, mobility solutions—or how we get from point A to point B—will bridge the gap between ground and air transportation—yes, that means flying cars. Technological advancements are transforming mobility for people and, leading to unprecedented change. Nand Kochhar, vice president of automotive and transportation for Siemens Software says this transformation extends beyond…