Social Intelligence with Blaise Aguera y Arcas - #340
Published:Jan 20, 2020 19:56
•1 min read
•Practical AI
Analysis
This article is a brief summary of a podcast episode featuring Blaise Aguera y Arcas, a scientist from Google, discussing social intelligence. The content highlights the conversation's focus on machine learning, the current AI landscape, and the distinction between AI, ML/DS, and true intelligence. The article serves as an introduction to the podcast, hinting at the topics covered and the guest's expertise. It lacks in-depth analysis, providing only a general overview of the discussion's key themes and the speaker's background.
Key Takeaways
- •The podcast episode features Blaise Aguera y Arcas, a Google scientist.
- •The discussion centers on social intelligence and its relation to machine learning.
- •Key topics include the AI landscape, the gap between AI and ML/DS, and the nature of intelligence.
Reference
“In our conversation, we discuss his role at Google, and his team’s approach to machine learning, and of course his presentation, in which he touches discussing today’s ML landscape, the gap between AI and ML/DS, the difference between intelligent systems and true intelligence, and much more.”