A giant of AI passes away: Marvin Minsky who founded the first AI lab at MIT together with John McCarthy in 1958. Here is an obituary in CACM and here is an interview with him at his impish best: Advertisements
Google open sourced their machine intelligence library TensorFlow the 1st of November 2015. The primary use case for the library is deep learning, but it can be used more generally as a distributed mathematical library, e.g. solving partial differential equations. I recently worked on a research project where I implemented a sequence model for a… Read More Deep Learning with Google’s TensorFlow
Kvantdatorernas långsamma intåg utlovar stora förändringar för kryptografi och datasäkerhet. I ett pm från augusti 2015, har amerikanska NSA gått ut och rekommenderat organisationer att inte göra stora investeringar i förbättringar av konventionella kryptotekniker (såsom elliptic curve-teknik), eftersom kvantkryptering idag ses som en reell framtid med både löften om ökad privacy, samt allvarligare säkerhetshot. En… Read More Kvantkryptering
es in the Larry Elliot writes in the Guardian about the Fourth Industrial Revolution being debated at the annual World Economic Forum (WEF). This is the revolution being enacted by automation, AI and machine learning, something I wrote about last time in my review of Olle Häggström’s book Here Be Dragons. Another influential commentator to write on this… Read More The Fourth Industrial Revolution
Olle Häggström Here Be Dragons Oxford University Press 2016. In his acclaimed book Reasons and Persons, the British philosopher Derek Parfit discusses his theory of identities where a person at a certain time instant is not the same as the person an instant later. The author of the book under review is a self–professed admirer of… Read More Tilting at Windmills?
The Machine Learning group at Chalmers University of Technology is pleased to announce the Machine Learning Seminars for the spring. We’ll have both local and invited speakers covering a broad spectrum of machine learning-related topics, from deep learning to Bayesian and sparse methods. The talks will be kept accessible to a wide audience with interest… Read More Chalmers Machine Learning Seminars