Deep Learning has been working quite well with images. Computers learn to use new input to continuously improve their ability to recognize what’s in the picture. And now Facebook is having a go at it (pun intended). They’re trying to create a Go computer that can beat the best human player. Go, you see, has so many possibilities that a computer simply doesn’t have the calculative power to use brute calculative force to get to the best move. But by using deep learning they’re learning what the next best move might “look like”.

Is it possible to model nature? We run into all sorts of problems with ecological models. And do we have to use equations? Chaos Theory can do neat tricks. It can link variables that are don’t cause the effect to predict the effect. What? Yeah! Check this one out if you dare. It’s not as complex as it sounds :).

A bit technical, but so cool. Almost all your cells have clock mechanism in it. No Swiss radars of course. But proteins that regulate the behavior of the cell over the day. A biochemical horn blows from parts of the brain that react to light and darkness. A few proteins get together in the cell’s nucleus. They lead thousands of genes to transcribe to proteins. That wakes up the cell. And makes you feel hungry. Or open your eyes.

Yes for offline and first-order-access!! In times of "disruption-worshipping techno-utopianism coming out of Silicon Valley” Moleskine just doubled sales in the last 4-5 years. Revenge of the analog!