I am being touted for managerial positions more and more in the engineering field. Basically, I might be put in charge of some r&d processes within some sort of structured firm. It would be an employee position, call it middle management. As usual, I am going to listen carefully: my personal r&d projects are settled, literature review been done and original contributions being tested without needing too much time. So what?
October in Turin with two nuclear projects: novel materials from data science methods (hard) & molten salt reactors engineering design (ok).
It is very possible that the DronesBench project, for which I act as an advisor and market tester, will be bought out by some big firm once the EASA regulation for small drones becomes effective in mid-to-late 2018. In the meantime, dissemination is the key and the ability from its inventor and owner, Mauro Pompetti, CEng, to become an influencer at international level. Creating educational drone labs in the schools would also help. Irrespective of the commercial development, in fact, there is an uncontestable, pioneering, academically validated invention (the DronesBench Index for the electro-mechanical efficiency of the drone as a whole) that can be exploited to support a brand. Video case studies, a new dynamic website and the active participation in international drones fairs is what Pompetti needs at this stage. Good luck!
The Python environment for deep learning has a new golden boy in the form of the PyTorch package. It seems faster and less convoluted than Tensorflow, other than more scalable. At this stage, it works for Linux and MacOs only, so I am going to need a double boot on my Win 10 laptop, again, as for Salome Meca 2017 for nuclear engineering design. Good!
The Windows version of Salome-Meca was not good as hoped, so I was waiting for the official 2017 version in order to double boot my Win 10 with Lubuntu 16.04 and install the package. EDF releasead it on Sep 1 so I am done, my new shiny and free FEM package for commercial use, under LGPL license, is in the bag. No Abaqus, no Ansys, no monies to fork out. Thanks, EDF!
The drones market is booming and new business opportunities are arising quickly. DronesBench® by DPM Elettronica Srl, Foggia, Italy, is one of the most advanced testing tool in the world for the diagnosis of drones up to 5 or 15 kg weight. It is suited for manufacturers, for the certification of the electro-mechanical compliance of a fleet, for academic and applied r&d, for drone repair workshops (coming in handy once periodical certifications are made mandatory by law), for flight training schools, for educational laboratories, for public fairs and media events. Press Release on LinkedIn here.
Next week the DronesBench will come out with a massive promotional campaign aimed at venture capital, foreign businesses and domestic schools. Time to monetise and hopefully get some good sales under our belt! The commercial drones market is growing fast, important legislation is expected by mid 2018. Our testing machine and original Index may help manufacturers and the general users comply with the electro-mechanical best practices. Educational partners are also important to us, we would like to see a lot of drone laboratories in the Italian high schools. We are really going to contribute wherever possible from Foggia, Italy, with pride and dedication. Follow us! Have a look at the future, have a look at DronesBench!
While the US and North Korea leaders are trying to kickstart a nuclear war locking horns, Google is the latest corporation to invest in nuclear energy for pacific usage, namely decarbonisation of electricity to fight climate change. They have just released a strategic study showing that: “if we can find a zero-carbon, 24×7 electricity source that costs about $2200/kW to build, it can displace carbon emission from the electricity grid in less than 27 years.” It is not my pair of shoes, except the nuclear-heavy scenario, and it seems quite difficult to deploy because out of their own control. Good for discussion, though.
GeoEngineering to contrast the effects of climate change might become the next big thing with startups, venture capital, etc. It is a controversial matter though, with technologies being put forward at the highest rate than ever. Geoengineering rulebook could be ready by 2020s and a governance is going to be needed to assess technologies and execute projects following a shared vision, like suggested by the Carnegie Council for Ethics in International Affairs. Trying to understand how I can get involved. Stay tuned!
I am reconsidering my commitment to GitHub for showing my data science & deep learning code. Actually, I will not put anything into my account there for the time being. I am neither a public persona living off conferences nor a developer looking for a job, so GitHub is worth very little to me. Fundamentally, I am hearing more and more stories about GitHub accounts being raided by unscrupolous firms who steal the code and resell it under their copyright without a problem. I prefer to keep my things private, then, only releasing reproducible results in a formal manner.