Taryn Southern Interview – Exploring AI-Generated Music

In this episode I’m joined by Taryn Southern – a singer, digital storyteller and Youtuber, whose upcoming album I AM AI will be produced completely with AI based tools. Taryn and I explore all aspects of what it means to create music with modern AI-based…

Self-Adapting Resiliency for AI Self-Driving Cars – AI Trends

By Lance Eliot, the AI Trends Insider Have you ever seen a brittle star? I’m not talking about stars in the night time sky – I’m referring to the ocean-going type of star. The brittle star is an ophiuroid that crawls along the sea floor….

Dealing with the reproducibility crisis: what can ECRs do about it? | PLOS Blogs Network

  Unless you’ve been living under a rock (no judgment, by the way), I’m sure you’ve heard about the reproducibility crisis in scientific research. In 2016, two posts on this blog covered what the main VISIT THE SOURCE ARTICLE Dealing with the reproducibility crisis: what…

Marco Cuturi Interview – Optimal Transport and Machine Learning

In this episode, i’m joined by Marco Cuturi, professor of statistics at Université Paris-Saclay. Marco and I spent some time discussing his work on Optimal Transport Theory at NIPS last year. In our discussion, Marco explains Optimal Transport, which provides a way for us to…

Kiran Vajapey Interview – Collecting and Annotating Data for AI

In this episode, I’m joined by Kiran Vajapey, a human-computer interaction developer at Figure Eight. In this interview, Kiran shares some of what he’s has learned through his work developing applications for data collection and annotation at Figure Eight and earlier in his career. We…

Missy Cummings Interview – Infrastructure for Autonomous Vehicles

In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering. In addition to being an accomplished researcher, Missy also became one of the first female fighter pilots in the US Navy…

David Rosenberg Interview – Information Extraction from Natural Document Formats

In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and Charts in Natural Document Formats.” Bloomberg is dealing with tons of financial and company data…

Jeff Dean Interview – Systems and Software for Machine Learning at Scale

In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down with last week at the Googleplex in Mountain View. As you’ll hear, I was very…

Lyne Tchapmi Interview – Semantic Segmentation of 3D Point Clouds

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is an end-to-end framework that performs 3D point-level segmentation combining the advantages of neural networks,…

GK Senthil Interview – Surveying the Connected Car Landscape

In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges for smart cars. We discussed Toyota’s recently announced partnership with Amazon to embed Alexa in…