Geoffrey Hinton has finally expressed what many have been uneasy about. In a recent AI conference, Hinton remarked that he was “deeply suspicious” of back-propagation, and said “My view is throw it…
This is the first in The Vanishing University, a four-part series exploring the tech-driven future of higher education in America. Right now, this very morning, thousands of young adults in the United States are scrambling through the same minor hell. They've woken up to the very last in a series of half-futile phone alarms. Made, and likely...
Graphic artist Yang Liu has a sharp eye for cultural comparison, honed by personal experience. In 1990, at the age of 13, she moved from Beijing, to Berlin. After exactly 13 years there, she started an illustrated project to document her dual experiences in China and Germany. Originally created as 47 simple blue and red posters, Yang Liu's nonjudgmental...
Part I: Intuition (you are reading it now) Part II: How Capsules Work Part III: Dynamic Routing Between Capsules Part IV: CapsNet Architecture (coming soon) Quick announcement about our new…
All Stories - Mar 8, 2017 If you’ve just completed your A levels, International Baccalaureate Diploma or local Polytechnic diploma, congratulations!…. Read more at The Straits Times BrandInsider.
Humans excel at solving a wide variety of challenging problems, from low-level motor control through to high-level cognitive tasks. Our goal at DeepMind is to create artificial agents that can achieve a similar level of performance and generality. Like a human, our agents learn for themselves to achieve successful strategies that lead to the greatest long-term rewards.
"Networking" and "connecting" as most people attempt it is a waste of time. [1] As most people with large networks know, focusing on helping others is the best strategy. The more people who ask you for help, the more connected you actually are, and the more able you will be to use your network to…
An objective function is a measure of how similar a prediction of a value and the actual value are. Usually, we are looking to find the set of parameters that lead to the smallest possible cost which would imply that your algorithm will perform well.