Fine-tuning of parameters or hyperparameters is one of the most important and difficult tasks for Machine/Deep learning algorithms in order for them to perform well. This is indeed one usual pain points for the practitioners in those fields. One technique, among others, widely used to tackle such issues is Bayesian Optimization, which involves an automatic … Continue reading Bayesian Optimization and the automatic approach to fine-tuning paramenters in deep learning
Recently I have been researching and witnessed some nice papers on the topic of crytocurrencies and the blockchain protocols. It appears that these topics are gaining some academic traction within the Computer Science and computer security communities. As to the broader applicability and functionality of the major developments of the protocols, namely Bitcoin and Ethereum … Continue reading Elastico – a new scalable blockchain protocol proposal
For the start of this week I would like to come back to a talk delivered at Usenix (The Advanced Computing Systems Association) Conference in 2012 by Wilson Hsieh about Google's distributed cloud database product Spanner. This is still a timely talk, even if 5 years in the computing world is a small eternity, for … Continue reading Spanner – distributed cloud database from Google
For the last day of this week I would like to share a post from Trent McConaghy in BigChainDB's Medium page. It was posted last 3rd january. It is a long read, but a very complete, worthwhile readership for anyone interested in both Blockchain and Artificial Intelligence (AI) technologies. This post is quite suited to … Continue reading BigChainDB -Trent McConaghy on Blockchains for Artificial Intelligence
MIT Technology Review posted last 18th of January a nice article about the current developments around Automated Machine Learning. Automated Machine Learning is a new avenue of research where the developers and researchers try to reach the goal of producing software with the ability to write software by its own. But the so-called automated software … Continue reading Automated Machine Learning – AI software that writes itself
Stumbled across an HTML article featuring a paper by Samuel C. Woolley, which is a Ph.D. student in the Department of Communications at the University of Washington (UW). The paper is even more interesting to read and reflect upon given it was written in April 2016, well before the recent US election that was stymied by … Continue reading Social Bots: the new age of Automated Politics?
The Intelligence of Information 