Latest from MIT : Does this artificial intelligence think like a human?

In machine learning, understanding why a model makes certain decisions is often just as important as whether those decisions are correct. For instance, a machine-learning model might correctly predict that a skin lesion is cancerous, but it could have done so using an unrelated blip on a clinical photo. While tools exist to help experts…

Latest from Google AI – Reproducibility in Deep Learning and Smooth Activations

Posted by Gil Shamir and Dong Lin, Research Software Engineers, Google Research Ever queried a recommender system and found that the same search only a few moments later or on a different device yields very different results? This is not uncommon and can be frustrating if a person is looking for something specific. As a…

Latest from MIT : School of Engineering welcomes Thomas Tull as visiting innovation scholar

Thomas Tull, leading visionary entrepreneur and investor, has been appointed a School of Engineering visiting innovation scholar, effective April 1. Throughout his career, Tull has leveraged the power of technology, artificial intelligence, and data science to disrupt and revolutionize disparate industries. Today, as the founder, chair, and CEO of Tulco LLC, a privately held holding…

Latest from Google AI – Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance

Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language understanding and generation have achieved impressive results across a wide range of tasks. GPT-3 first showed that large language models (LLMs) can be used for few-shot learning and can achieve impressive results without large-scale task-specific…

Latest from MIT : Dan Huttenlocher ponders our human future in an age of artificial intelligence

What does it mean to be human in an age where artificial intelligence agents make decisions that shape human actions? That’s a deep question with no easy answers, and it’s been on the mind of Dan Huttenlocher SM ’84, PhD ’88, dean of the MIT Schwarzman College of Computing, for the past few years. “Advances…

Latest from MIT : Generating new molecules with graph grammar

Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise take years. “Ideally, the goal is to train a machine-learning model on a few existing chemical samples and then allow it to produce as many manufacturable…

Latest from Google AI – Introducing CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

Posted by Ye Jia and Michelle Tadmor Ramanovich, Software Engineers, Google Research Automatic translation of speech from one language to speech in another language, called speech-to-speech translation (S2ST), is important for breaking down the communication barriers between people speaking different languages. Conventionally, automatic S2ST systems are built with a cascade of automatic speech recognition (ASR),…

Latest from MIT : Featured video: L. Rafael Reif on the power of education

MIT President L. Rafael Reif recently joined Raúl Rodríguez, associate vice president of internationalization at Tecnológico de Monterrey, for a wide-ranging fireside chat about the power of education and its impact in addressing global issues, even more so in a post pandemic world.  “When I was younger, my parents used to always tell me and my…