Graph Learning and Geometric Deep Learning — Part 2 — Be sure to read an overview of Geometric Deep Learning and the prerequisites to become familiar with this niche in machine learning. Follow my Twitter and join the Geometric Deep Learning subreddit for latest updates in the space. Graph convolutions are very different from graph embedding methods that were covered…

Graph Learning and Geometric Deep Learning — Part 1 — Be sure to read an overview of Geometric Deep Learning and the prerequisites to become familiar with this niche in machine learning. Follow my Twitter and join the Geometric Deep Learning subreddit for latest updates in the space. There are alot of ways machine learning can be applied to graphs…

Graph Learning and Geometric Deep Learning — Part 0 — The best way to predict the future is to create it — Abraham Lincoln Follow my Twitter and join the Geometric Deep Learning subreddit for latest updates in the space. Machine learning is all the rage today, and once the science catches up with the hype, it will likely become…

Deep Learning 🤖 on graphs and in 3D — Follow my Twitter and join the Geometric Deep Learning subreddit for latest updates in the space. The vast majority of deep learning is performed on Euclidean data. This includes datatypes in the 1-dimensional and 2-dimensional domain. But we don’t exist in a 1D or 2D world. All that we can…

Machine Learning in metallurgy and material science — On January 15th, 1919, in a quiet neighborhood in north Boston, a disaster was brewing. Out of the blue, a loud explosion rang through the city, and before anyone knew what was happening, 12,000 tons of molasses rushed into the streets at almost 60 kmph, killing 21 and injuring 150. …

M.L in medicine and material science — It takes 10 years on average for a new molecule to reach the mass market. In April 1912, the RMS Titanic collided with an iceberg in the Atlantic while on her maiden voyage, drowning 1,500 lives and making history. Decades later, the wreck was recovered, still rich with 20th century…

Calling all scientists and developers — We’re on the verge of a new scientific method, one that utilizes the power of artificial intelligence to accelerate the development of scientific discoveries. “The amount of data being generated by experiments and simulations has given rise to the fourth paradigm of science over the last few years, which is…

What makes carbon molecules so special — Cheminformatics has been a growing field, parallel to the likes of A.I for one reason: the increase of available data. The unstoppable growth of data isn’t expected to slow down, with reports showing that data is expected to double every 2 years for the next decade. This is significant, because…

The intersection of Chemistry and A.I — A.I has seen unprecedented growth in the past couple years. Although machine learning architectures like Neural Networks (NN) have been known for a long time thanks to breakthroughs from top researchers like Geoffrey Hinton, only recently have NNs become powerful tools in an A.I specialist’s toolbox. …