73 karma · joined December 2, 2007
Which countries in Europe charge their electricity to consumers based on 'extreme peaks' at between 60 to 100 cents? https://ec.europa.eu/eurostat/statistics-explained/index.php...
So the only pawn that was offered and that Rowson took was on move 10 in reply.
The only reason I checked was to see how far a grandmaster was looking ahead, in this case 14 moves, which i find impressive. "...I discovered a surprising detail right at the end of the line, in which my knight could retreat back to its original square, "
Like you, I wouldn't be impressed if he only saw from move 18 to move 24.
The final graph shows a binary trees program in C, with a 6% variation between "in process executions", and no steady state, it seems logical that most VMs will show the same or worse variation.
The "warmed-up steady state" does exist, but not if they define it so narrowly. All of their iterations and timings are running at x30 to x100 interpreted speed, the only 'cold' interpreted code is in a few microseconds of the first loops of an execution.
All of the warmup, and transitions from interpreter, to JIT, to optimised JIT , happen inside the first few micro or milliseconds of EVERY one of their thousands of process iteration. Their measurements are ALL of the system variation of the VM after warm up has taken place. The VM is optimizing within the first 1-1000 inner loops occuring at the start of EACH process iteration. For most working programmers, a variation of a few percent on a running system AFTER warm-up in "steady-state peak performance", and before any I/O takes place (because language benchmarks avoid I/O), would not be an issue. If it is an issue, then the article perhaps demonstrates that a compiled language would offer less variation.
The benchmarks listed range from a shortest of around 0.4s for fannkuch/hotspot/linux, up to 1.8s for n-body, pypy, linux. This 'long-running' benchmark code (of .4 to 1.8s ), by definition, has to include multiple inner loops/hot code, which is quickly optimized, otherwise benchmark code would have to be millions of lines long, in order to have a sufficient runtime length. Tests need to run for at least tenths of a second, for cross language comparisons, since JITted languages take some iterations to warm-up.
They don't ship minified javascript to final app, but bytecode, which they say is 1/3 smaller (both minified). They have moved the parse and compile stages to ahead of time, making the VM smaller, and giving the bytecode benefit. The bytecode benefit also means a quicker time to live/first reponse from 4s to 2s in their example.
Link to the talk, from FB employee announcement made at React Conference today, 15 minutes length. Linked 2 mins in, because the audio is poor to start.
EIA Total for year was listed as 4,177,810 in 1000s of MWhr Other Renewables 354,445 in 1000s of MWhr
From wikepedia - national trends section graph https://en.wikipedia.org/wiki/Wind_power_in_the_United_State...
2018 Wind power generated 274,962 in 1000s of MWhr. So makes up over 75% of other renewables. Chart shows wind has grown from 94,000 in 2009. Which combining with the EIA data, showing 143,388 in 2009, means most of the growth in non-solar renewables is from wind.
Actual figure given on website is 5m2 of panels on car. Assume 1Kw per m2 of sun power (near equator, no cloud, midday) @ 22% conversion efficiency gives 1.1kw electrical output from panels.
So one needs 5.59KW sun power input for 1.1kw output.
I make that assumption, because the person accussed of multiple crimes is suing Apple based on their use of facial recognition. He wouldn't do that if the ID was used in each crime.
Another article confirms my assumption is correct.
https://www.bbc.com/news/technology-48022890
"A detective with the New York Police Department allegedly told Mr Bah that the thief probably used Mr Bah's driving licence as identification during one of the robberies. The detective reportedly said that this may have caused Mr Bah to be charged with thefts committed at Apple Stores in New York, Delaware, New Jersey and Massachusetts, according to court papers."
If, it was just a single theft and the stolen ID was used on that occasion, then I would agree facial recognition would not be relevant.
Following further thefts associated with that ID, the innocent man was accused of all the thefts based on the ID and an INCORRECT photo match to the stolen ID which Apple had created in its facial recognition system, and used as the basis to inform the police of the suspect.
I tried my best not to be snarky. I thought the article was a normal average article.
Edit: I'm not sure the article says facial recognition was responsible, I think that's what the courts will decide. But to me, its clear that facial recognition was involved, based on the article's title and content
I get that some comments can be interesting without reading the article. But someone discussing and finding fault with an article they haven't read (properly?) ... that's the bit that just baffles me.
Reading the article seems like a reasonable minimal entry requirement, IF someone wants to discuss the content itself.
Additionally, it seriously affected 37 signals, who are the creators of Basecamp and Ruby on Rails, and are one of the more high profile tech successes.
In the blogpost DHH (the creator of Rails) calls into question their approach to moving to the Cloud, their sudden decline from 5 nines to 2 nines of availability, and the failure of their risk management in terms of cloud operations.
I find it quite surprising and concerning, that Google Cloud has had 2 such major outages so close together.
What exactly do you mean by this? Fuse them in what sense? What advantages would there be at a smaller scale?
To my amateur eyes, it looks superb, and better than many demos in terms of the sync/accuracy of the facial expression and speech.
https://www.youtube.com/watch?v=i51CizUXd7A
It's also quite charming and amusing. Here's a background article, explaining the approach.
https://uploadvr.com/iphone-xsens-performance-capture-bebylo...
1 billion bytes = 1GB,
1 billion KB = 1TB,
1 billion MB = 1PB,
10 billion * 10MB = 100PB.
Cached version, no login required
It seems possible that there are widely varying responses, and for those like me who are salt sensitive, then low sodium may mean 500mg rather than 1500/2250mg that various research suggests. In hunter/gatherer societies, 500mg would be a more typical level one would receive - this research refers to 4 tribes with lowest sodium intake (& lowest BPs) in INTERSALT study. http://publicacoes.cardiol.br/abc/2003/8003/80030005i.pdf.
Also, came across, an article which mentioned no other animal has a sodium potassium balance with more sodium than potassium which is what most humans in 'modern' world now have.