Past Events

MIT Quest AI Roundtable: 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 is compounded by a shortage of computing resources in much of the world. This panel will explore ways of making natural language processing more efficient, interpretable, and linguistically informed, to reach speakers of all languages.

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 still over the horizon, is essential to understanding how businesses can maximize the value of AI and ML.

MIT Quest AI Roundtable: 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 AI’s potential negative effects. We will discuss ideas for harnessing AI for the benefit of all. Speakers: Fotini Christia (MIT); Stacy Hobson (IBM); Moderator: Aude Oliva.

MIT Quest AI Roundtable: 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 leading strategies for achieving efficient AI by co-designing hardware and software for deep learning. Speakers (MIT): Vivienne Sze; Song Han; Moderator: Aude Oliva.

MIT Quest AI Roundtable: 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 processing information at the same place. Inspired by biological models of learning, researchers are designing computing elements that mimic neural circuits and consume massively less energy. Speakers: Bilge Yildiz, Michale Fee (MIT); Panelists: Jesus delAlamo, Ju Li (MIT); Moderator: Aude Oliva (MIT)

MIT Quest AI Roundtable: Deep neural networks could very well memorize their training data, but instead they find generalizable rules. We will discuss various ideas for why this happens, and how we can build deep learning systems that generalize even better to new and unexpected scenarios. Speakers: Pulkit Agrawal, Phillip Isola (MIT); Alyosha Efros (UC Berkeley); Moderator: Aude Oliva (MIT)

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 Watson AI Lab will explain how to overcome three key barriers to implementing AI successfully — trust, scalability, and reasoning.

Almost everything humans have achieved has been done by groups of people working together. Financial markets operate on this principle of collective intelligence to set prices for stocks, as do Internet search engines to answer questions asked by thousands before. Computers can make groups even smarter, but how should humans and machines interact? This workshop will explore the ways that people and machines, working separately and together, can leverage their relative strengths, resolve conflict and create value for society.