The following position is a win for white. But how?


It seems like white is able to grab a knight for free. However, that would be not a wise idea, as the c4 pawn would then be free to run down to become a queen. You can easily convince yourself that 1.Nxd8? c3! wins for black. White also has its own knight en prise in the starting position, so a move not involving a knight move will result in its demise. E.g., 1.Kb6 seems a desirable attacking move to make, but 1....dxc6 2.dxc6 Nxc6! again turns the tables. 

Next Monday, or Tuesday at the latest, you will find a new bulky paper in the arXiv. Titled "On the Co-Design of Scientific Experiments and Industrial Systems", the work is authored by over 80 colleagues. I directed them as co-chair of WG2 of EUCAIF (with Pietro Vischia) in assembling a view of the state of the art of the techniques and the issues connected with the simultaneous optimization of hardware and software of scientific experiments in fundamental physics. Complementing that is a parallel look at a few representative tasks in industrial settings.

The other day I traveled with Kalliopi and our two newborns to Padova from Lulea. After six full months in Lapland - a full autumn and winter, in fact - I needed to get back to my original office, and take care of other business at what has become my second home now. Meanwhile, travel has become considerably more complicated for me: traveling with two infants is no easy matter.

Although I have long retired from serious chess tournaments (they take too much time, a luxury I do not have anymore - even more so now that I have two infants to help grow!), I insist playing online blitz on chess.com, with alternating fortunes. My elo rating hovers in the 2200-2300 range, signalling that I still have my wits around me (I figure it is a very good way to keep a watch on my mental capabilities: if Alzheimer lurks, I will spot it early). 

These days I am putting the finishing touches on a hybrid algorithm that optimizes a system (a gamma-ray observatory) by combining reinforcement-learning with gradient descent. Although I published an optimization strategy for that application already, I am going back to it to demonstrate a case where the simultaneous optimization of hardware and software is necessary, for a paper on co-design I am writing with several colleagues.
In the course of the software development, I ran into a simple but still interesting statistical issue I had not paid attention to until now. So I thought I could share it with you here.

Strange how time goes by. And strange I would say that, since I know time does not flow, it is just our perception of one of the spacetime coordinates of our block universe... 
The thing is, on February 5 I will turn 60. An important date for anybody - I could say a milestone. First of all, let me say that we give for granted all the days of our life we got to live, but in truth we did not know it from the start we would make it far. I do feel rather young still, but I am very well aware that there are heaps of ways I could have ended my life earlier. Accidents, but also naturally occurring sickness.