Lifeboat Foundation

Shared with Dropbox.

Shared with Dropbox.

FOR ACADEMIC PURPOSES ONLY.

The hidden pattern by Ben Goertzel.

Shared with Dropbox.

Northwestern University researchers have developed the first physics-based metric to predict whether or not a person might someday suffer an aortic aneurysm, a deadly condition that often causes no symptoms until it ruptures.

In the new study, the researchers forecasted abnormal aortic growth by measuring subtle “fluttering” in a patient’s blood vessel. As blood flows through the aorta, it can cause the vessel wall to flutter, similar to how a banner ripples in the breeze. While stable flow predicts normal, natural growth, unstable flutter is highly predictive of future abnormal growth and potential rupture, the researchers found.

Called the “flutter instability parameter” (FIP), the new metric predicted future aneurysm with 98% accuracy on average three years after the FIP was first measured. To calculate a personalized FIP, patients only need a single 4D flow magnetic resonance imaging (MRI) scan.

As a result, he’s built a network of peers who can relate to his challenges, name-dropping Spotify CEO Daniel Ek, who had appeared on the same podcast just a few weeks before, as one of them.

“Daniel Ek doesn’t know the Brian before Airbnb,” Chesky explained. “So maybe he doesn’t know ‘the real me’…but he does know a different ‘real me’ that my childhood friends can’t know, because high school and college friends can’t possibly know what it’s like for me to go through what I’m going through.

Continue reading “Airbnb boss called his CEO network asking if they could hire any of the 1,900 staff he laid off” »

Although the complementary FET is still as much as a decade away from commercialization, it’s clearly the future of CMOS.

The Big Three can now all make CFETs—next stop on the Moore’s Law roadmap.

The area is slated for lithium mining that could endanger the lagoons and the newly discovered formations.

In this Primer article, Bijsterbosch and colleagues provide an accessible discussion of the challenges faced in analytical representations of functional brain organization and provide clear recommendations to unite a fractionated field.