Careers, Skills, and the Evolution of AI (Ep....

The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone. We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockcha ...  Show more

VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Str ...  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

In the season finale, Graeme is joined by Intel’s VP of Data Center AI Solutions Group, Jeni Barovian. With a role that oversees product strategy, she has a wealth of knowledge for the responsible development of AI and understanding how it is ultimately received by end users. Foc ...  Show more

This is a special bonus episode of AI in Industry about advancing your career in the era of AI, specifically for non-technical professionals. If you don't want to learn to code but still make yourself tremendously valuable in the era of AI, this episode is for you. We put togethe ...  Show more

Our guest today is Eric Boyd, the Corporate Vice President of AI at Microsoft. Eric joins us to share how organizations can leverage AI for faster development. Eric shared the benefits of using natural language to build products. He discussed the future of version control and the ...  Show more