Machine Learning on Google Cloud – Vision and Natural Language
Learn how to gain insights about your data using pre-trained machine learning models hosted on Google Cloud. These APIs use the same machine learning technology that powers Google products like Photos,...
View ArticleSeminar: Edith Beigné, Facebook
Join MIT Quest and MIT School of Engineering for a special seminar with Edith Beigné, Director of AR/VR Silicon Research at Facebook. Augmented reality (AR) is a set of technologies that will...
View ArticleSpeed Up and Green Up Your AI!
Speed up and Green up your AI! Tutorial and hackathon. Featuring $1,000 in cash prizes, food, and hundreds of GPUs. Learn how to get started on MIT’s newest and greenest AI supercomputers, Satori (#4...
View ArticleNational Security Commission on AI
Please join the National Security Commission on Artificial Intelligence (NSCAI) for a conversation on the implications of artificial intelligence (AI) on national security and research. How the United...
View ArticleLinking the Brain
Computerization, Biomedicalization and Globalization in Neuroscience, 1960-2000 MIT postdoc Young Shin will discuss the evolution of the computer revolution in neuroscience in the United States and...
View ArticleMIT-IBM Watson AI Lab Virtual Poster Session
MIT-IBM Watson AI Lab Virtual Networking and Poster Session Who: MIT and IBM researchers with current Lab projects or those looking for collaborators What: MIT-IBM Watson AI Lab Networking and Poster...
View ArticleThe Path to More Flexible AI
This panel discussion will address topics such as the need to create a new class of AI systems that can perform with increasing autonomy, more self-reliant training, and with far less data. The...
View ArticleFrontiers of AI/ML
From research into privacy-preserving machine learning, to creating robust and deployable AI, to improving human-AI collaboration, MIT faculty will share their insights on the path to the artificial...
View ArticleWhat’s Next in AI 2020 Conference
Leaders agree that AI offers a competitive advantage, but only a fraction of organizations are using AI to its full potential. In this virtual event, scientists and business experts from the MIT-IBM...
View ArticleArtificial Intelligence @ MIT Research Blitz
Join the student group, Artificial Intelligence @ MIT, (AIM, formerly the Machine Intelligence Community) for its third-annual Research Blitz! Four MIT researchers – Justin Solomon, Sarah Cen,...
View ArticleExtending Deep Nets to New, Unexpected Situations
Speakers: Pulkit Agrawal, Phillip Isola (MIT); Alyosha Efros (UC Berkeley) Moderator: Aude Oliva (MIT) Deep neural networks could very well memorize their training data, but instead they find...
View ArticleToward Brain-inspired, Energy-efficient Chips
Traditional computer chips waste time and energy shuttling data between separate memory and computational units. Neural circuits in the brain, by contrast, achieve enormous efficiencies by storing and...
View ArticleCrossing the Divide for Energy-efficient AI
AI applications are moving quickly to smartphones and low-power hand-held devices. To make the shift, both hardware and software will need to be redesigned for speed and efficiency. We will discuss...
View ArticleAI for Social Good
AI has the potential to address longstanding societal problems, from economic inequality to unequal access to healthcare, but it could also widen these divisions without deliberate steps to mitigate...
View ArticleNatural Language Processing for All
Nearly 7,000 languages are spoken in the world today, but fewer than two dozen have the massive training data required to build AI applications like language and speech-to-text translation. The problem...
View ArticleFrontiers of AI/ML
Businesses are integrating artificial intelligence and machine learning into every facet of their work, but we’re far from realizing their potential. An understanding of what’s possible, and what’s...
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