Latest from MIT Tech Review – Watch this team of drones 3D print a tower

A mini-swarm’s worth of drones have been trained to work together to 3D-print some simple towers. One day, the method could help with challenging projects such as post-disaster construction or even repairs on buildings that are too high to access safely, the team behind it hopes. Inspired by the way bees or wasps construct large…

Latest from Google AI – FindIt: Generalized Object Localization with Natural Language Queries

Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, Google Research, Brain Team Natural language enables flexible descriptive queries about images. The interaction between text queries and images grounds linguistic meaning in the visual world, facilitating a better understanding of object relationships, human intentions towards objects, and interactions with the environment. The research community has…

Latest from MIT Tech Review – How retail is using AI to prevent fraud

Retailers face an evolving landscape of fraud tactics each day. It’s why companies are increasingly turning to AI to try and catch threat patterns never seen before, and block attacks before they ever happen. While this approach lends itself to efficiency, it’s also one that relies on increasingly complex data profiles of consumers. In this…

Latest from MIT Tech Review – The Algorithm: AI-generated art raises tricky questions about ethics, copyright, and security

Welcome to The Algorithm 2.0!  I’m Melissa Heikkilä, MIT Technology Review’s senior reporter for AI. I’m so happy you’re here. Every week I will demystify the latest AI breakthroughs and cut through the hype. This week, I want to talk to you about some of the unforeseen consequences that might come from one of the hottest…

Latest from MIT Tech Review – CIO vision 2025: Bridging the gap between BI and AI

Nearly a decade after they emerged from science labs, AI and machine learning are firmly embedded in enterprise technology environments and are starting to generate value for many businesses. It is increasingly difficult to find organizations that have not at least explored AI use in their business in some way. In a survey, conducted by…

UC Berkeley – Keeping Learning-Based Control Safe by Regulating Distributional Shift

To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine learning…

Latest from MIT : Protecting maternal health in Rwanda

The world is facing a maternal health crisis. According to the World Health Organization, approximately 810 women die each day due to preventable causes related to pregnancy and childbirth. Two-thirds of these deaths occur in sub-Saharan Africa. In Rwanda, one of the leading causes of maternal mortality is infected Cesarean section wounds. An interdisciplinary team…

Latest from Google AI – Google at Interspeech 2022

Posted by Cat Armato, Program Manager, Google This week, the 23rd Annual Conference of the International Speech Communication Association (INTERSPEECH 2022) is being held in Incheon, South Korea, representing one of the world’s most extensive conferences on research and technology of spoken language understanding and processing. Over 2,000 experts in speech-related research fields gather to…

Latest from Google AI – Robust Online Allocation with Dual Mirror Descent

Posted by Santiago Balseiro, Staff Research Scientist, Google Research, and Associate Professor at Columbia University, and Vahab Mirrokni, Distinguished Scientist, Google Research The emergence of digital technologies has transformed decision making across commercial sectors such as airlines, online retailing, and internet advertising. Today, real-time decisions need to be repeatedly made in highly uncertain and rapidly…

Latest from Google AI – PaLI: Scaling Language-Image Learning in 100+ Languages

Posted by Xi Chen and Xiao Wang, Software Engineers, Google Research Advanced language models (e.g., GPT, GLaM, PaLM and T5) have demonstrated diverse capabilities and achieved impressive results across tasks and languages by scaling up their number of parameters. Vision-language (VL) models can benefit from similar scaling to address many tasks, such as image captioning,…