This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized an impromptu roundtable on Building AI Products, and met a bunch of great people, including some former TWiML Talk guests.This time around i’m joined by Matthew Crosby, a researcher at Imperial College London, working on the Kinds of Intelligence Project.
Subscribe: iTunes / SoundCloud / Google Play / Stitcher / RSS
Matthew joined me after the NIPS Symposium of the same name, an event that brought researchers from a variety of disciplines together towards three aims: a broader perspective of the possible types of intelligence beyond human intelligence, better measurements of intelligence, and a more purposeful analysis of where progress should be made in AI to best benefit society. Matthew’s research explores intelligence from a philosophical perspective, exploring ideas like predictive processing and controlled hallucination, and how these theories of intelligence impact the way we approach creating artificial intelligence. This was a very interesting conversation, i’m sure you’ll enjoy.
Join the Giveaway!
Recently we hit a very exciting milestone for the podcast: One Million Listens!!! We’d hate to miss an opportunity to show you some love, so we’re holding another listener appreciation contest to celebrate the occasion. Tweet to us @twimlai using #TWIML1MIL to enter. Every entry gets a fly #TWIML1MIL sticker plus a chance to win one of 10 limited edition t-shirts commemorating the occasion. We’ll be giving away some other mystery prizes from the magic TWiML swag bag along the way, so you should definitely enter. If you’re not on twitter, or want more ways to enter, just look below for more chances to win!!!
Thanks to our Sponsor
I’d like to thank our friends over at Intel Nervana for their sponsorship of this podcast and our NIPS series. While Intel was very active at NIPS, with a bunch of workshops, demonstrations and poster sessions, their big news at NIPS was the first public viewing of the Intel Nervana™ Neural Network Processor, or NNP. The goal of the NNP architecture is to provide the flexibility needed to support deep learning primitives while making the core hardware components as efficient as possible, giving neural network designers powerful tools for solving larger and more difficult problems while minimizing data movement and maximizing data re-use. To learn more about Intel’s AI Products Group and the Intel Nervana NNP, visit IntelNervana.com.