Predictive & Declarative AI with Theresa Benson

Theresa Benson, Product Storyteller for InRule Technology, explains the opportunity of combining declarative AI with predictive AI, and how InRule Technology is using predictive AI to empower non AI experts to develop algorithms from their existing domain knowledge. Stream the full episode below, or head here to select your favorite listening app.   Related Resources ... Read more

Anna Susmelj: Latent Space, Causality, and Computational Biology

Anna Susmelj explains her research at Facebook AI developing optimal drug combinations for the treatment of complex diseases, as well as her background in causality research. Anna's Facebook Research: AI predicts effective drug combinations to fight complex diseases faster. Stream the full episode below, or head here to select your favorite listening app.   Related ... Read more

Making AI Development Global with Google’s Laurence Moroney

Many of the exciting advances in AI have resulted from well-funded companies and research departments, stocked with high-performance computers and every shiny toy the AI practitioner could want. But according to Laurence Moroney, Lead AI Advocate at Google, that’s not the only way to develop artificial intelligence. So these students got together and they realized... ... Read more

Kelvin Wursten: Tensor Flow Models in Healthcare

Kelvin Wursten, leader of PointClickCare's Data Science team, explains how they are utilizing AI to help solve complicated supply vs. demand calculations in hospital emergency departments, as well as the challenge of balancing building awesome technology while still prioritizing the user's needs. Stream the full episode below, or head here to select your favorite listening ... Read more

Igor Susmelj: More Data is Not The Answer

Igor Susmelj, Co-Founder of Lightly.ai, explains how most companies don't have a problem of too little data, but rather of far too much irrelevant data. He details Lightly's approach of utilizing self-supervised learning to pare down massive data sets into something that can be useful to a supervised learning approach. Stream the full episode below, ... Read more

Hyperscience CEO Peter Brodsky: Making AI Backwards Compatible with Reality

Hyperscience co-founder and CEO Peter Brodsky explains why standards are fundamentally at odds with innovation, and how making technology that is backwards compatible with reality is Hyperscience's approach. Key topics: The future of Human-in-the-loop processes Using synthetic data to train deep learning algorithms Why the solution to data entry automation will  prove to be the ... Read more

Director of AI Research Ram: AI in the Enterprise

Director of AI Research, Ramprakash Ramamoorthy, explains how ManageEngine's tools predict anomalies, the long term utility of Human-in-the-Loop AI, and how they've used sentiment analysis & transfer learning to overcome a lack of data. Stream the full episode below, or head here to select your favorite listening app and view the full transcript.  Related ... Read more

Gyant CEO Stefan Behrens: Building Datasets & Ensuring Interpretability

Gyant CEO & Co-Founder Stefan Behrens explains the challenges inherent in creating datasets for healthcare purposes, as well as the importance of building interpretability into their AI tools. Stream the full episode below, or head here to select your favorite listening app and view the full transcript. Related Resources LeilaDo Trees Feel?4 Min ReadRead moreRead ... Read more