Latest from MIT Tech Review – The hype around DeepMind’s new AI model misses what’s actually cool about it

Earlier this month, DeepMind presented a new “generalist” AI model called Gato. The model can play the video game Atari, caption images, chat, and stack blocks with a real robot arm, the Alphabet-owned AI lab announced. All in all, Gato can do 604 different tasks.  But while Gato is undeniably fascinating, in the week since…

Latest from MIT Tech Review – The Download: DeepMind’s AI shortcomings, and China’s social media translation problem

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The hype around DeepMind’s new AI model misses what’s actually cool about it Earlier this month, DeepMind presented a new “generalist” AI model called Gato. The model can play the video game Atari, caption…

UC Berkeley – The Berkeley Crossword Solver

We recently built the Berkeley Crossword Solver (BCS), the first computer program to beat every human competitor in the world’s top crossword tournament. The BCS combines neural question answering and probabilistic inference to achieve near-perfect performance on most American-style crossword puzzles, like the one shown below: Figure 1: Example American-style crossword puzzle Crosswords are challenging…

Latest from MIT : Artificial intelligence predicts patients’ race from their medical images

The miseducation of algorithms is a critical problem; when artificial intelligence mirrors unconscious thoughts, racism, and biases of the humans who generated these algorithms, it can lead to serious harm. Computer programs, for example, have wrongly flagged Black defendants as twice as likely to reoffend as someone who’s white. When an AI used cost as…

Latest from Google AI – Vector-Quantized Image Modeling with Improved VQGAN

Posted by Jiahui Yu, Senior Research Scientist, and Jing Yu Koh, Research Software Engineer, Google Research In recent years, natural language processing models have dramatically improved their ability to learn general-purpose representations, which has resulted in significant performance gains for a wide range of natural language generation and natural language understanding tasks. In large part,…

Latest from MIT : Living better with algorithms

Laboratory for Information and Decision Systems (LIDS) student Sarah Cen remembers the lecture that sent her down the track to an upstream question. At a talk on ethical artificial intelligence, the speaker brought up a variation on the famous trolley problem, which outlines a philosophical choice between two undesirable outcomes. The speaker’s scenario: Say a…

Latest from Google AI – Contextual Rephrasing in Google Assistant

Posted by Aurelien Boffy, Senior Staff Software Engineer, and Roberto Pieraccini, Engineering Director, Google Assistant When people converse with one another, context and references play a critical role in driving their conversation more efficiently. For instance, if one asks the question “Who wrote Romeo and Juliet?” and, after receiving an answer, asks “Where was he…

Latest from MIT : Can artificial intelligence overcome the challenges of the health care system?

Even as rapid improvements in artificial intelligence have led to speculation over significant changes in the health care landscape, the adoption of AI in health care has been minimal. A 2020 survey by Brookings, for example, found that less than 1 percent of job postings in health care required AI-related skills. The Abdul Latif Jameel…

Latest from MIT : On the road to cleaner, greener, and faster driving

No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit greenhouse gases while waiting for the light to change. What if motorists could time their trips so they arrive at the intersection when the light is green? While that might be just…

Latest from Google AI – Challenges in Multi-objective Optimization for Automatic Wireless Network Planning

Posted by Sara Ahmadian and Matthew Fahrbach, Research Scientists, Google Research, Large-Scale Optimization Team Economics, combinatorics, physics, and signal processing conspire to make it difficult to design, build, and operate high-quality, cost-effective wireless networks. The radio transceivers that communicate with our mobile phones, the equipment that supports them (such as power and wired networking), and…