September 23, 2022
Sometimes applications crash. Some other times applications crash because memory is exhausted. Such issues exist because of bugs in the code, or heavy memory usage for […]
September 14, 2022
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.
September 7, 2022
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 […]
September 7, 2022
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 […]
June 3, 2022
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 […]
May 27, 2022
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 […]
May 16, 2022
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. […]
May 16, 2022
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 […]
May 16, 2022
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 […]
