Welcome to the weekly newsletter of Deep Learning AI and Blockchain Convergence. We hope that this newsletter will appeal to all those interested in Deep Learning developments and its relationship to decentralized consensus architectures.
What’s wrong with a majority of research in Artificial Intelligence(AI), Deep Learning and Artificial General Intelligence (AGI)? First, let’s explore the latest research on “The social and cultural…
Permit me the luxury of introducing a book I’ve been working on for the past year. For the readers of this blog, I’m sure you’ve seen this book mentioned frequently in my posts. However, I have yet…
We provide a simple, broad definition of weak supervision as being comprised of one or more noisy conditional distributions over unlabeled data, and focus on the key technical challenge of unifying and modeling these sources.
Just as institutional investors were quick to recognize the benefits of automated trading solutions, cryptocurrency investors will be the ultimate beneficiaries of the introduction of these services to the blockchain ecosystem.
This is just some rambling by a computer programmer about DNA.
I’m not a molecular geneticist. If you spot the inevitable
mistakes, please mail me (bert hubert, @PowerDNS_Bert) at bert@hubertnet.nl.
We had recently published a large-scale machine learning benchmark using word2vec, comparing several popular hardware providers and ML frameworks in pragmatic aspects such as their cost, ease of use, stability, scalability and performance.
AlphaZero, progress in meta-learning, AI in fake news, fair machine learning: 2017 was another year of big breakthroughs and challenges for AI researchers!
Ben Wellington uses data to tell stories. In fact, he draws on some key lessons from fields well outside computer science and data analysis to make his obser…
The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.
Product search is one of the key components in an online retail store. Essentially, you need a system that matches a text query with a set of produ … · Han Xiao
For that reason, we currently consider that any method able to find a sub-optimal solution is generally good enough (we cannot verify if the solution returned is the optimal one most of the times).
Demystifying and providing a big picture view of Artificial Intelligence. Also discuss how AI encompasses and includes machine learning, deep learning, NLP, speech recognition, image recognition etc.
Last year, we decided to get into Faster R-CNN, reading the original paper, and all the referenced papers (and so on and on) until we got a clear understanding of how it works and how to implement it.
These three papers by Mark S. Miller and K. Eric Drexler appeared in
The Ecology of Computation, Bernardo Huberman (ed.) Elsevier
Science Publishers/North-Holland, 1988.
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