Skin in The Game

If you take a look at my twitter timeline, many of the retweets are from Nassim Nicholas Taleb.

His work focuses on problems of randomness, probability, and uncertainty, and have read his books multiple times. I was tinking of rereading his last book “Skin in the Game”.

The embedded youtube video is his summary of the book for talks at google. Bookmark this and spend and hour to soak some of this ideas,

Few of the important bits from the book.

• For social justice, focus on symmetry and risk sharing. You cannot make profits and transfer the risks to others, as bankers and large corporations do. You cannot get rich without owning your own risk and paying for your own losses. Forcing skin in the game corrects this asymmetry better than thousands of laws and regulations.
• Ethical rules aren’t universal. You’re part of a group larger than you, but it’s still smaller than humanity in general.
• Minorities, not majorities, run the world. The world is not run by consensus but by stubborn minorities imposing their tastes and ethics on others.
• You can be an intellectual yet still be an idiot. “Educated philistines” have been wrong on everything from Stalinism to Iraq to low-carb diets.
• Beware of complicated solutions (that someone was paid to find). A simple barbell can build muscle better than expensive new machines.
• True religion is commitment, not just faith. How much you believe in something is manifested only by what you’re willing to risk for it.

Have you read this book?

Learning Fluid Simulation

Be it designing, analysis visualisation is a big part of engineering discipline. Such is it’s important that entire industries are based on providing physics based softwares.

But now we have a new toolkit to understand the complex behaviours of fluids and other. Neural networks are able to learn the patterns of smoke simulation etc without any pde’s. This is going to be a huge step in the industry.

Watch the video.

Can’t wait to see this technology to come to production.

Flying Through a Turbine Blade

Turbine blades are complicated and delicate pieces of engineering. Each blade has cooling channels that allow air to flow through and exit the porous shell of the blade, maintaining a stable temperature for the assembly. Due to their nature, each turbine blade requires a series of rigorous testing procedures in order to verify their structural integrity. Visual inspection is simple matter but capturing the integral structure is no easy task.

This is where neutron imaging can play a vital role. Neutron imaging is the process of making an image with neutrons. The resulting image is based on the neutron attenuation properties of the imaged object. The resulting images have much in common with industrial X-ray images, but since the image is based on neutron attenuating properties instead of X-ray attenuation properties, some things easily visible with neutron imaging may be very challenging or impossible to see with X-ray imaging techniques

Researchers from Oak Ridge National Laboratory (ORNL)’s Spallation Neutron Source (SNS) have recently utilized neutron imaging to examine the cooling channels and other inner workings of Inconel 718 turbine blades. Watch the video.

Amazing Machine Learning in 1950!! 

Watch this excellent videos from the 1950’s that demonstrates machine learning. Amazing!

Learnt about this from the book on Bell Labs that’s one of my top recommended read for anyone.

If you are interested in Machine Learning, don’t miss this other video on Algorithms and Techniques that are changing our world

 

 

 

Historical Primer on the Algorithms, and Techniques that are shaping our world

giants of machine learningLast year in April I attended a good course of machine learning which pushed my self learning to a new level. The course also introduced the language R and I have loved dipping with machine learning since then though most of it is done in python.

We had an excellent trainer with more than 20 years of experience in the field. I loved his 101 course in statistics as the prelude to the course and the practical examples that the trainer brought up while teaching us the mechanics of perceptrons, ridge regression etc.

What the course lacked was an historical perspective on machine learning and how it all came about as we now know it.

Found this excellent video that provides that perspective.

From the first meeting in summer of 1956 to the many A.I winters followed by the eventual emergence of deep learning, the below video provides an excellent historical primer on the algorithms, and techniques that are shaping our world.

 

The Discovery Of Gravitational Waves

There is huge news in the science world, Scientists announced that they have detected gravitational waves from the merging of two black holes in deep space – something predicted a century ago by Albert Einstein’s General Theory of Relativity.

A landmark day for  our understanding of the universe.

Here’s a video that explains it…

Living With The Black Swan

 

From about 2000 years, in many European languages, a black swan was a metaphor for something that was clearly impossible. And then black swans were found in Australia. So a black swan became a metaphor for a completely unexpected event actually occurs, one we had not imagined was impossible. Black swans appear regularly – Skype, iPhone, the Cloud…. If a black swan landed in your marketplace, would you recognize it? Most companies don’t. It’s no coincidence that the average age of companies – big companies – is falling fast, at the same time that black swan events are increasing.

You never see black swans coming – you have to be ready to respond when they arrive. 

This talk is about the kind of thinking and organizational structure that can help you live successfully with the black swans. It is about how to build an innovative, responsive, enduring organization

Goes well with this post on antifragile.

How a driverless car sees the road- See Machine Learning in Action

Haven’t seen anything so exciting for a long time. Exceptional progress in technology. Reminded me of the following quote by Eric Schmidt

Google’s self-driving cars and robots get a lot of press, but the company’s real future is in machine learning, the technology that enables computers to get smarter and more personal. – Eric Schmidt (Google Chairman)

Grab a cup of coffee and see the future!!!

ISRO’s Mangal Yaan Mission In A Nutshell

Curious about first Indian mission to Mars, then this is one video you shouldn’t miss.

The video explains ISRO’s complex mission in a very simple way and make people aware why space exploration is far more important than anything else.

Excellent work by The Curious Engineer

A Semi Functional VTK ICP App – Demo

Experiments with VTK continues. My motivation got a booster when I learnt about the open source implementation of iterative closest point algorithm present in VTK.  So here’s the labor of love of playing with ICP in VTK.

A semi functional VTK ICP App. Watch the demo, code coming soon.  

Side note: The raptor used in the demo is a fav of my two year old son these days!!

As always, still a work in progress, will refine as and when I get some free time, which is becoming a luxury now a days. 

For the uninitiated, ICP stands for iterative closest point and is used ……. well read this wikipedia article for a complete explanation.