Fidelity Labs hosts TEDxBoston

By Bill Fleming

From speech recognition on smart phones to toothbrushes that learn the shape of your mouth to improve brushing, technology is being programmed to adapt to and improve how we go about our daily lives.

On Sept. 29, 2016, Fidelity Labs hosted TEDxBoston 2016, which was focused on AI and ML. Invited guests heard speakers talk about the impact that machine intelligence has had on education, healthcare, and work—and what’s ahead. Thousands watched the talks online during the livestream, and videos of each talk are now available to watch on TEDxBoston.org

Here’s a recap of each talk:

Suchi Saria

Machine Learning Expert at Johns Hopkins University

Better medicine through Machine Learning

Machine Learning is saving lives, by scouring a multitude of patients’ data and comparing them to one patient’s health data to detect symptoms 12 to 24 hours sooner than a doctor could. “In many pressing medical problems, the answers to knowing whom to treat, when to treat, and what to treat with, might already be in your data” says Suchi Saria. Learn how TREWS (Targeted Real-time Early Warning Score) is leading the way to save lives. Watch the video.

Hugo Larochelle

Research Scientist at Twitter and Assistant Professor at Université de Sherbrooke

The deep end of deep learning

Artificial Neural Networks are inspired by some of the “computations” that occur in human brains—real neural networks. In the past 10 years, much progress has been made with Artificial Neural Networks and Deep Learning due to accelerated computer power (GPUs), Open Source coding libraries that are being leveraged, and in-the-moment debates and corroborations via social media. Hugo Larochelle shares his observations of what’s been made possible with the underpinnings of Deep Learning. Watch the video. 

Ben Vigoda

Founder, CEO & CTO of Gamalon Machine Intelligence

When machines have ideas

Astronomers shared stories through the ages, enabling them to contradict and learn from each other. They broke stories apart and put them together in better ways—readjusting and reconsidering beliefs—to present new ideas that are more compelling and more accurate. Machines can do that, too. “When we build stories into machine intelligence systems, we should enable them to attach probabilities to their stories,” says Ben Vigoda. Watch the video. 

Andrew Ng

Chief Scientist at Baidu, Chairman & Co-Founder of Coursera, Adjunct Professor at Stanford

A conversation with Ryan Adams & Katherine Gorman

AI is already transforming many industries—much like how the advent of electricity impacted manufacturing, transportation, communication, and refrigeration. “The best technologies disappear into the background” says Andrew Ng, and he believes someday AI will become as ubiquitous as electricity is today. Andrew has a conversation with TEDxBoston moderators, Ryan Adams and Katherine Gorman (co-hosts of Talking Machines podcast) to discuss the importance of lifelong learning and the “surprisingly clear path to use AI to transform multiple industries.” Watch the video.