AlphaGo, every mention
6 scenes (2019) · ← back to AlphaGo
tap a year for its mentions
every year 2019 anyone Gary Marcus 6Pedro Domingos 3Mathew Lodge 3Sarah Catanzaro 1Eiso Kant 1Dan Roberts 1
Verbatim, from the transcripts: the passages where AlphaGo comes up
Fireside Chat: Pedro Domingos, Head of Machine Learning, DE Shaw (FirstMark's Data Driven NYC)
- ▶ 15:47 Pedro Domingos Like, you know, AlphaGo is a great example, right?
- ▶ 19:44 Pedro Domingos You know, like, AlphaGo spent, played millions of games. 2 times in the scene
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 5:07 Gary Marcus Deep learning has played a role in the great performance in games like AlphaGo and, and, um, so forth.
- ▶ 17:16 Gary Marcus It's totally different from trying things a million times, which is what, say, AlphaGo does when plays Go.
- ▶ 21:50 Gary Marcus I mean, you can either use the kind of brute force that, um, you know, Deep Blue used and just searched through a lot of positions, or there's a more nuanced version of, of brute force in AlphaGo, um, which combines Monte Carlo Tree… 2 times in the scene
- ▶ 35:23 Gary Marcus So like, DeepMind made a big deal of AlphaGo as a deep learning system, but it has this Monte Carlo Tree Search stuff that precedes deep learning that comes from classical AI. 2 times in the scene