AlphaGo

DeepMind · 2016 · Game AI · UK

A to Z

A · App: No
B · Built By: DeepMind
C · CEO & Politics: Demis Hassabis — Centrist / pro-science / UK establishment
D · Date: 2016
E · Expertise: Intermediate+
F · Free Tier: No free tier
G · Generates: Text only
H · Deployment: Research
I · Inputs: Text
J · Jurisdiction: UK
K · Key Staffers: Shane Legg (Co-Founder, Chief AGI Scientist), Koray Kavukcuoglu (CTO), John Jumper
L · Languages: English-primary
M · Model Type: Game AI
N · Safety Issues: None reported
O · Open Source: Proprietary
P · Pricing: Not sold (research model)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Google DeepMind's AlphaGo, a Go-playing system that combines deep neural networks, a policy network that picks moves and a value network that predicts the winner, with advanced search, trained first on thousands of expert human games and then by reinforcement learning against versions of itself; it beat European champion Fan Hui 5-0 in October 2015, the first match won by an AI against a Go professional, and Lee Sedol 4-1 in Seoul in March 2016, earning a 9 dan professional ranking.
S · Stock / Status: $344 (GOOGL, Sep 25, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: API only
X · X Handle: @GoogleDeepMind
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Proprietary Game AI from DeepMind, released 2016.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“AlphaGo.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/alphago.html