Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence.

Neural networks are becoming massive monsters that are hard to train (without the “regular” 12 last-generation GPUs).Is there a way to skip that? Let me introduce […]

In this episode, I speak about online machine learning systems and why blindly choosing such a paradigm can lead to unpredictable and expensive outcomes. Also, in […]

That deep learning alone is not sufficient to solve artificial general intelligence is a more and more accepted statement. Generalist agents have great properties that can […]

In this episode, I am with Chip Kent, chief data scientist at Deephaven Data Labs. We speak about streaming data, real-time, and other powerful tools part […]

In this episode I speak with Matt Swalley, Chief Business Officer of Omneky, an AI platform that generates, analyzes and optimizes personalized ad creatives at scale. […]

Let’s take a break and think about the state of AI in 2022.In this episode I summarize the long report from the Stanford Institute for Human-Centered […]

In this episode I have a conversation with, Itai Bar-Sinai, CPO & Cofounder of Mona. We speak about several interesting points about data and monitoring.Why is […]

I am with Ander Steele, data scientist and mathematician with a passion for privacy and Shannon Bayatpur, product manager with a background in technical writing and […]

In this episode my friend and I speak about AI, batteries and automotive.Dennis Berner, founder of Digitlabs has been operating in the field of automotive and […]