Name: Active Learning and Machine Learning in Neuroscience by Harvard University in tech
Duration: 53 min 50 s
Description: In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work which touches on everything from neuroscience to theoretical machine learning. Ryan Introduces us to active learning and we take a question on evolutionary algorithms.

tech

In episode eighteen we talk with Sham Kakade, of Microsoft Research New England, about his expansive work which touches on everything from neuroscience to theoretical machine learning. Ryan Introduces us to active learning and we take a question on evolutionary algorithms. 

Active Learning and Machine Learning in Neuroscience

Earlier this week, famed physicist Stephen Hawking gave a brief talk at a conference at the KTH Royal Institute of Technology in Sweden. In it, Hawking outlined some ideas that could resolve a paradox of black hole theory.  Information entering a black hole may not be truly lost, he suggested. Instead, that information could still exist in a sort of hologram on the black hole’s event horizon. But this doesn’t mean you should design your next information-storage service around the use of black holes. “For all practical purposes, the information is lost,” Hawking said—that is, it exists “in a chaotic and useless form.” Theoretical physicist Sean Carroll of CalTech says that there’s no way to test Hawking’s thought experiment, but that once fleshed out further, it could be a new way of thinking about how the quantum world might function.

From Hawking, a New View of Black Holes

Could the broadband “capacity crunch” be helped by a lightbulb? Engineers are tapping into LEDs to create high-speed data transmission. Engineer Harald Haas, co-founder of pureLiFi, describes how LED technology could be used in the future, from secure communication systems to in-flight networking.

LEDs Could Light the Way to Future Networking

After three weeks of debugging in the dingy basement of the Data General Corporation, the SciFri Book Club regroups to discuss Tracy Kidder’s 1981 true-tech tale, The Soul of a New Machine. The book—which won the Pulitzer Prize and National Book Award when it came out in 1981—tells the story of a small band of computer engineers rushing to create a new 32-bit minicomputer to compete with their corporate rivals, Digital Equipment Corporation. How have the tech biz and engineering changed since Soul? Veteran technology writer Steven Levy and Silicon Valley engineering executive Jocelyn Goldfein weigh in, when the SciFri Book Club talks The Soul of a New Machine.

The SciFri Book Club Talks ‘The Soul of a New Machine’

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Active Learning and Machine Learning in Neuroscience

Harvard University

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