Latest from MIT : MIT-Takeda Program heads into fourth year with crop of 10 new projects

In 2020, the School of Engineering and Takeda Pharmaceutical Company launched the MIT-Takeda Program, which aims to leverage the experience of both entities to solve problems at the intersection of health care, medicine, and artificial intelligence. Since the program began, teams have devised mechanisms to reduce manufacturing time for certain pharmaceutical products, submitted a patent…

Latest from MIT Tech Review – How to create, release, and share generative AI responsibly

A group of 10 companies, including OpenAI, TikTok, Adobe, the BBC, and the dating app Bumble, have signed up to a new set of guidelines on how to build, create, and share AI-generated content responsibly.  The recommendations call for both the builders of the technology, such as OpenAI, and creators and distributors of digitally created…

Latest from Google AI – A vision-language approach for foundational UI understanding

Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. Previously, we investigated various UI modeling tasks, including widget captioning, screen summarization, and command grounding, that address diverse interaction scenarios such as automation and accessibility. We…

Latest from MIT Tech Review – AI image generator Midjourney blocks porn by banning words about the human reproductive system

The popular AI image generator Midjourney bans a wide range of words about the human reproductive system from being used as prompts, MIT Technology Review has discovered.  If someone types “placenta,” “fallopian tubes,” “mammary glands,” “sperm,” “uterine,” “urethra,” “cervix,” “hymen,” or “vulva” into Midjourney, the system flags the word as a banned prompt and doesn’t…

Latest from Google AI – Pre-training generalist agents using offline reinforcement learning

Posted by Aviral Kumar, Student Researcher, and Sergey Levine, Research Scientist, Google Research Reinforcement learning (RL) algorithms can learn skills to solve decision-making tasks like playing games, enabling robots to pick up objects, or even optimizing microchip designs. However, running RL algorithms in the real world requires expensive active data collection. Pre-training on diverse datasets…

Latest from Google AI – Google Research, 2022 & beyond: Health

Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Google’s focus on AI stems from the conviction that this transformational technology will benefit…

Latest from Google AI – Suppressing quantum errors by scaling a surface code logical qubit

Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry. These quantum computers will be much bigger than today, consisting of…

Latest from Google AI – Google Research, 2022 & beyond: Natural sciences

Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the amazing advances in machine learning (ML) and quantum computing, we…

Latest from MIT Tech Review – How OpenAI is trying to make ChatGPT safer and less biased

Have you been threatened by an AI chatbot yet? Over the past week it seems like almost every news outlet has tried Microsoft’s Bing AI search and found that the chatbot makes up stupid and creepy stuff. It repeatedly told a New York Times tech columnist that it “loved” him, then claimed to be “offended” by…

Latest from Google AI – FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Posted by Parker Riley, Software Engineer, and Jan Botha, Research Scientist, Google Research Many languages spoken worldwide cover numerous regional varieties (sometimes called dialects), such as Brazilian and European Portuguese or Mainland and Taiwan Mandarin Chinese. Although such varieties are often mutually intelligible to their speakers, there are still important differences. For example, the Brazilian…