Lifeboat Foundation

A vast patch of abnormally warm water in the Pacific Ocean — nicknamed the blob — resulted in increased levels of ozone above the Western US, researchers have found.

The blob — which at its peak covered roughly 9 million square kilometres (3.5 million square miles) from Mexico to Alaska — was assumed to be mainly messing with conditions in the ocean, but a new study has shown that it had a lasting affect on air quality too.

“Ultimately, it all links back to the blob, which was the most unusual meteorological event we’ve had in decades,” says one of the team, Dan Jaffe from the University of Washington Bothell.

Continue reading “A Massive ‘Blob’ of Abnormal Conditions in the Pacific Has Increased Ozone Levels” »

A new in-depth read on #transhumanism and life extension by one of the leading and oldest progressive magazines in America:

Only Human Meet the hackers trying to solve the problem of death.

By Anna Wiener

Planentary magnetic fields how do they work —

Astonishing geomagnetic spike hit the ancient kingdom of Judah.

If this were to happen again today, the electrical grid could be a smoking ruin.

Continue reading “Astonishing geomagnetic spike hit the ancient kingdom of Judah” »

This invisible liquid will make your phone screen as hard as sapphire.

A quirk of chemistry makes this liquid pour itself.

This Swiss-made trash can teach the world how to get rid of garbage in style.

Keep up with the latest: http://bit.ly/2jAqlHz

Ford is investing $1 billion in a secretive artificial intelligence startup headed by former Google and Uber execs to advance its self-driving car efforts.

The startup, Argo AI, was founded by Bryan Salesky, the former director of hardware for Google’s self-driving-car efforts, and Peter Rander, Uber’s engineering lead at its autonomous cars center.

The $1 billion investment will be spread out over five years as Ford looks to commercialize its self-driving technology by 2021.

Continue reading “Ford just invested $1 billion in a secretive AI startup founded by former Google and Uber execs” »

Google and Kaggle today announced a new machine learning challenge that asks developers to find the best way to automatically tag videos.

The challenge, which comes with a $30,000 prize for the first-place finisher (and $25,000, $20,000, $15,000 and $10,000 for the next four teams), asks developers to classify and tag videos from Google’s updated YouTube-8M V2 data set. This data set features a total of 7 million YouTube videos that add up to 450,000 hours of video. YouTube-8M already includes labels, too, and developers can use this as their training data. The challenge then is to tag 700,000 previously unseen videos.

Continue reading “Google teams up with Kaggle to host $100,000 video classification challenge” »

Wide models are great for memorization, deep models are great for generalization — why not combine them to create even better models? In this talk, Heng-Tze Cheng explains Wide and Deep networks and gives examples of how they can be used.

Check out our blog post, paper, YouTube video, TensorFlow tutorials: https://goo.gl/MwVlVa

Continue reading “Wide & Deep Learning: Memorization + Generalization with TensorFlow (TensorFlow Dev Summit 2017)” »