Sebastian Thrun

TL;DR: In this article, a particle filter is used in conjunction with one or more orientation devices to identify a location of a client device with respect to a map of an indoor space. This location may then be used to identify the path of the client device through the indoor space, where GPS or other localization signals are unavailable.

TL;DR: In this paper, the authors presented a system and computerized method for receiving image information and translating it to computer inputs, where image information is received for a predetermined action space to identify an active body part.

TL;DR: In this paper, a convolutional neural network (CNN) was trained and tested using photographs of corneal ulcers and scars, and the CNN demonstrated potential as an inexpensive diagnostic approach that may aid triage in communities with limited access to eye care.

TL;DR: BanditPAM is a randomized algorithm inspired by techniques from multi-armed bandits that returns the same results as state-of-the-art PAM-like algorithms up to 4x faster while performing up to 200x fewer distance computations.

TL;DR: An intuitive interface is designed for a user to sketch, in a few seconds, additional hints to the algorithm, to obtain 3D reconstructions of much higher quality than previous fullyautomatic methods.