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On this episode of Spark: Sensors, Predictors, Recognition Software – oh my! Click below to listen to the whole show, or download the MP3 (runs 54:00).

You can also listen to individual stories below.

Facial Recognition

Jennifer Steeves

Recent advances in facial recognition technology are giving us the feeling of being much closer to a “Minority Report” reality. But how close are we really? Psychology professor Jennifer Steeves of York University explains how human beings recognize one another compared to facial recognition software. And Alessandro Acquisti from Carnegie Mellon University reveals some surprising research into how regular recognition tech can identify “anonymous” people. (Runs 22:38)
[Audio clip: view full post to listen]

Jennifer SteevesCentre for Vision ResearchThe Thatcher EffectAlessandro AquistiEfficiency Is The New Power

Jonathan Koomey

Ok, Moore’s Law. It is… um… we’ll let you read up on it on your own! We’re interested in someone who proposes a modification of it. Jonathan Koomey is a consulting professor at Stanford University, and his research shows that it’s not processing power that doubles every 18 months, it’s energy efficiency. And in a world dominated by mobile devices and mobile batteries, efficiency may become the new power. (Runs 3:39)
[Audio clip: view full post to listen]

Jonathan KoomeyKoomey’s LawMoore’s LawPredictable Us

Jure Leskovec

No two snowflakes are alike, no two people are the same… right? You may think you’re unique, but it turns out you’re awfully predictable. Jure Leskovec is an assistant professor of computer science at Stanford, and he analyses past human behaviour online to predict future outcomes. And he’s discovered he can correctly predict who your next friends on Facebook will be. (Runs 9:57)
[Audio clip: view full post to listen]

Jure Leskovec[PDF] Supervised Random Walks: Predicting and Recommending Links in Social NetworksFull uncut version of interview with Jure LeskovecSmart and Sensing Cities

Ayesha Khanna

What happens when cities can monitor and respond to the people who live in them? There is no end to the Spark obsession with this question. Ayesha Khanna, director of the Hybrid Reality Institute, talks to Nora Young about the potential, and the challenges of smart cities, and what becomes possible when sensors are embedded everywhere. (Runs 12:20)
[Audio clip: view full post to listen]

Ayesha KhannaHybrid Reality InstituteFull uncut version of interview with Ayesha KhannaAdditional LinksCBC News: Copyright bill reintroduced in identical formNora’s full interview with David Fewer about former copyright reform bill C-32Main page image of Facebook relationships visualized by Paul ButlerSpark Podcast

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