Latest from MIT : AI system learns from many types of scientific information and runs experiments to discover new materials

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human scientists, who work in a collaborative environment and consider experimental results, the broader scientific literature, imaging and structural analysis, personal experience…

O’Reilly Media – Why AI Efficiency May Be Making Your Organization More Fragile

The productivity gains from AI tools are undeniable. Development teams are shipping faster, marketing campaigns are launching quicker, and deliverables are more polished than ever. But if you’re a technology leader watching these efficiency improvements, you might want to ask yourself a harder question: Are we building a more capable organization, or are we unintentionally…

Latest from MIT Tech Review – How AI and Wikipedia have sent vulnerable languages into a doom spiral

When Kenneth Wehr started managing the Greenlandic-language version of Wikipedia four years ago, his first act was to delete almost everything. It had to go, he thought, if it had any chance of surviving. Wehr, who’s 26, isn’t from Greenland—he grew up in Germany—but he had become obsessed with the island, an autonomous Danish territory,…

Latest from MIT : New AI system could accelerate clinical research

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of…

Latest from MIT Tech Review – The AI Hype Index: Cracking the chatbot code

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry. Millions of us use chatbots every day, even though we don’t really know how they work or how using them affects us. In…

Latest from MIT Tech Review – It’s surprisingly easy to stumble into a relationship with an AI chatbot

It’s a tale as old as time. Looking for help with her art project, she strikes up a conversation with her assistant. One thing leads to another, and suddenly she has a boyfriend she’s introducing to her friends and family. The twist? Her new companion is an AI chatbot.  The first large-scale computational analysis of…

Latest from MIT : Improving the workplace of the future

Whitney Zhang ’21 believes in the importance of valuing workers regardless of where they fit into an organizational chart. Zhang is a PhD student in MIT’s Department of Economics studying labor economics. She explores how the technological and managerial decisions companies make affect workers across the pay spectrum.  “I’ve been interested in economics, economic impacts, and…

Latest from MIT Tech Review – AI models are using material from retracted scientific papers

Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies. The findings, confirmed by MIT Technology Review, raise questions about how reliable AI tools are at evaluating scientific research and could complicate efforts by countries and industries seeking to invest in AI tools for scientists. AI search…

Latest from MIT : MIT affiliates win AI for Math grants to accelerate mathematical discovery

MIT Department of Mathematics researchers David Roe ’06 and Andrew Sutherland ’90, PhD ’07 are among the inaugural recipients of the Renaissance Philanthropy and XTX Markets’ AI for Math grants.  Four additional MIT alumni — Anshula Gandhi ’19, Viktor Kunčak SM ’01, PhD ’07; Gireeja Ranade ’07; and Damiano Testa PhD ’05 — were also…