Making use of the search option to stay
Fences are the only common ground.
Survive your own gift. A lot of times
It may be bootstrapping rescale,
It could even generate more than
Inner friction almost disappears.
Read somewhere it depends on content:
The flow is a bit fast and futile
This is much too common, nowadays,
This is Chernobyl for automotive,
Just declare your top to the rescue
And their needs. They can tell youngsters
And only act at the busiest time
Using purpotedly limited tools
Unrelated hooks that drive people crazy
And the dreamers, uh, a bubble made of few.
Would not work searching dustbins,
It is often a problem of time, three
Frozen or rocky balls into a void somewhat
Keep staying among people.
Even cheaper and strategically located
You know already: without an offer
To worry, we do not want a nuclear war,
The total minimum I need not to pay shippage.
Wanderers were our ancestors
But all three languages still very niche,
Helping local kids set up a local shop
Nothing meaningful comes from them
At your own pace, as a side aspect
But you can still disconnect
Fearing the night and the wiping out.
This is even more incredible than the
Hanging yourself at some sort of cerebral tree
And a boost, the unavoidable predominance
And boredom, that’s why ping pong
It was not the answers but the cultural fit.
Improbable, cumbersome and practically
Neither native nor perfectly fluent
Not want collective intelligence at all.
© Giuseppe Cornacchia, Oct 2016
The first half of 2017 is bringing good news for small FEA users working under Windows with limited budget. The latest notable package is Mecway, free for uses up to 1000 nodes and commercially available for $350; it has an internal solver and relies upon Calculix for big jobs, which is very reliable. In addition, the big freeware Code Aster is now available for Windows but it seems an unofficial porting and it is not clear under which license it is distributed yet. Time to have a look.
I am using one current competition from Kaggle.com to make experiments with deep learning. They employ pretrained / weighted neural network models for image classification distributed by Keras for the Amazon Planet competition. Pretraining is a way to transfer learning, that is to say to use models trained on standard image datasets to make predictions on new image datasets, only changing the last layer or two in the model. My new laptop with a GTX 1070 8 GB graphics card comes just handy for working locally with the VGG-16 and ResNet-50 models, my best compromise between hardware affordability and results accuracy. Better and smarter approaches are described in the Fast.ai forums here, food for thought!
Getting calls from Milan about my availability to move there for engineering roles, both from the r&d mechanical and the machine learning industries. Time to create a public portfolio then, I would really prefer consultant roles to becoming an employee and I need to show I can add real value. It will be on GitHub as NukePep for both fields, filling it this Summer.
My 2500+ nuclear eng papers collection morphed into a 500 papers database for machine learning uses. Now tracing references for open problems. Targets are materials science, structural integrity and engineering design in the steels domain.
Back to kaggle.com for their competitions, there are three that I find interesting these days: Mercedes, Instacart, Zillow. Mercedes want to optmize their test bench and reduce the time their cars spend there. Data are pretty small and there is a lot to play with models and ensembles, that’s why I’m interested. Following this terrific ensembling guide from one of the kaggle masters, it’s about time I learn their tricks! Deadline 10 July, not expecting to follow the public leaderboard, I just think many are overfitting, just hoping to come up with a robust multilayer solution for my portfolio.
Too much blurb from live events or no interest in ping pong office culture? You would like knowing more about startups though, real startups from the Silicon Valley. Here Y Combinator comes with their 10-weeks free MOOC about startups’ best practices, which they have named Startup School. No need to sign up for videos, transcripts & slides, enjoy from home instead of going to San Francisco. Is that material applicable to different environments? From my experience it is not, there is no market large enough to sustain scalability up to the unicorn level making use of Venture Capital funds.
According to the much acclaimed Report, investigative journalism TV programme from the national Italian broadcaster Rai 3, the nuclear power plant in Krsko, Slovenia, operates in a seismic region; the one in Doel, Belgium is undergoing severe crack issues in the pressure vessel; the one in Fessenheim, France and several from Areva suffer from high carbon steel problems, adding to the new EPR delay and technical problems in France, Finland and the UK. It is a mess, frankly, too many old plants in Europe in need of life extension and no serious plan to replace them.
Structural design of nuclear power plants’ internals is now considering methods that are more elaborated than the historical linear elastic formulas. The Non-Linear Analysis Design Rules; Part 1: Code Comparison report, released by World Nuclear Association on Feb 2017 under their CORDEL project, “reviews and compares the current code requirements in non-linear analysis for different failure modes and some degradation mechanisms in the major nuclear and non-nuclear design codes.” There is a consensus at academic and consultancies level but regulators still need to have a proper dive into these and homogenise their standards, that’s why this work is important.