podcast

November 21, 2022

Autonomous cars cannot drive. Here is why. (Ep. 210)

If you think that the problem of self-driving cars has been solved, think twice.As a matter of fact, the problem of self-driving cars cannot be solved […]
November 9, 2022

Evolution of data platforms (Ep. 209)

Let’s look at the history of data platforms. How did they evolve? Why?Shall I switch to the latest architecture?Enjoy the show! Our Sponsors Explore the Complex […]
November 3, 2022

[RB] Is studying AI in academia a waste of time? (Ep. 208)

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 […]
October 25, 2022

Private machine learning done right (Ep. 207)

There are many solutions to private machine learning. I am pretty confident when I say that the one we are speaking in this episode is probably […]
October 16, 2022

Edge AI for applications in military and space (Ep. 206)

Our Sponsors Ready to advance your career in data science? The University of Cincinnati Online offers nationally recognized educational programs in business analytics and information systems. […]
October 14, 2022

[RB] What are generalist agents and why they can change the AI game (Ep. 205)

That deep learning alone is not sufficient to solve artificial general intelligence, is more and more accepted statement. Generalist agents have great properties that can overcome […]
September 28, 2022

LIDAR, cameras and autonomous vehicles (Ep. 204)

How does an autonomous vehicle see? How does it sense the road? They are equipped of many sensors, of course. Are they all powerful enough? Small […]
September 23, 2022

Predicting Out Of Memory Kill events with Machine Learning (Ep. 203)

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

Is studying AI in academia a waste of time? (Ep. 202)

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.
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