The Power of Graph Neural Networks: Understan...

A classifier went from a $200M to a $7.5B valuation in 24 days. We've seen this before: blockchain. Same hype, same irrational money. And no, it's not like the dot-com fiber boom: fiber lasts decades, GPUs go obsolete in a couple of years. Who pays when the music stops? Strugglin ...  Show more

I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ...  Show more

AI has reached the stratosphere of innovation and digital transformation. It practically redefined how machines interpret and engage with all types of data inputs. In this episode, Senior Solution Architect and AI expert Kamal Youssef gives a behind-the-scenes perspective on how ...  Show more

On today’s episode, we get a reality check on all the hype surrounding AI with guest Phil Gervasi. Phil provides background on Large Language Models (LLMs) and their applications, as well as the current state of AI technology. We also delve into practical use cases for AI in netw ...  Show more

In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Al ...  Show more