Here is another very enjoyable conversation, with @Pandata19’s scientific advisory board member, Dr Jay Bhattacharya. Key ideas in this thread.

Today, we are bringing other exciting results involving black holes and AI. We released a new paper:

"Black Hole Weather Forecasting with Deep Learning: A Pilot Study"

Work by Roberta Duarte (@import_robs), Rodrigo Nemmen (@nemmen) and João Paulo Navarro (from @NVIDIABrasil).

The authors used deep learning to simulate the dynamics of gas accreting onto a black hole, i.e., black hole weather forecasting.

They trained the model (U-Net) with frames from numerical solutions of the hydrodynamical equations.

Numerical simulations are time-consuming. A simple simulation can take as long as 7 days to finish. If we go with more complex simulations, this time may increase.

We want to investigate if deep learning can be a new method to simulate accurately in less time!

In the paper, they discussed two examples:

1- The model simulating only one system after learning only from this system
2- The model simulating an unseen system after training with several systems with different initial conditions

In the first example, they trained the model with a single system and analyzed how the model simulates by iterative predictions.

The result is that the model can simulate up to 8e4 gravitational time accurately with a speed-up of 30000x faster!

1/ #LBBB generates often a classical pattern on #EchoFirst. The pattern is very distinctive in Tissue Doppler of the septum.

The classical pattern arises from the time lapse of the activation and relaxation of the two walls, creating a pattern of interaction due to a sequence temporal imbalances of the tension between the two walls.

2/ As the septum is activated first, it contracts (shortening - septal flash) without activation of the lateral wall, which stretches. This generates slower pressure build up than a normal IVC, which then is prolonged.

3/ During ejection, the LV volume decreases, so both walls shorten. Tension, however, declines first in the septum, as this was activated first. This leads to a tension imbalance, so the lateral wall continues to shorten, the more relaxed septum stretches.

4/ The stretching of the septum builds up an elastic tension in the septum, which is released as recoil, when tension declines in the lateral wall, showing a post systolic shortening in the septum which is due to elasticity.

The Nature versus Nurture is a debate about scientific doctrine. It is a debate about the correct way of explanation for cognition.

The Representation versus Non-Representation shares the same debate. It is also about the correct way of explanation for cognition.

It is also the difference between thinking in nouns versus thinking in verbs. Nature and Representation have deep roots in Western thinking. It is a functionalist and reductionist way of thinking that meets its limits when analyzing complex adaptive systems.

It is perhaps due to this Western bias that concepts from the study of complex systems have had little traction in modern society. It is of course, more than a Western bias, but a human bias to seek out simple causal explanations of this world.

But the world is complex and messy. Spiral dynamics which is an evolutionary model of individuals and society explains how models of the world shape ourselves and our civilization.