This new AI technology is the same technology Google's AI used to beat a human Go player.

Judged as of January 2018. True: the drone technology referred to uses deep learning (deep neural networks, for example for vision or navigation), the same broad class of technology AlphaGo used (deep neural networks with reinforcement learning) when DeepMind/Google beat Lee Sedol in 2016. Mostly true: both use deep neural networks but 'same technology' glosses over clear differences in method (for example supervised vision networks versus AlphaGo's reinforcement learning and tree search). Mixed: the overlap is partial and the description is ambiguous. Mostly false: the drones use mainly non-deep-learning methods with only minor neural-network components. False: the drones do not use deep learning at all, or AlphaGo did not use deep learning.

Set before the research began.

1. E1 Mastering the game of Go with deep neural networks and tree search - Nature Nature · 27 January 2016

   “These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play.”

2. E2 Skydio R1 Drone Autonomously Identifies/Tracks People and Objects, Navigates any Environment - DSIAC DSIAC (Defense Systems Information Analysis Center) · 9 April 2018

   “Using a deep neural network, it compiles information on each object and identifies each individual by, say, clothing and size.”

3. E3 How does R1 work? - Skydio Skydio · 1 February 2018

   “R1 is an autonomous flying camera combining artificial intelligence, computer vision, and advanced robotics.”

The AlphaGo paper in Nature (E1) says AlphaGo's core was deep neural networks, trained with supervised and reinforcement learning and combined with tree search. DSIAC (E2) reports that the Skydio R1 drone uses a deep neural network to identify and track people and objects. Skydio's support page (E3) describes the R1 in general terms as AI plus computer vision. So both use deep neural networks, but calling it the "same technology" glosses over clear differences: the drone uses perception networks, while AlphaGo combined reinforcement learning with tree search. That fits the "mostly true" criterion.