This has been true for years, Intel CPU's can't efficiently perform math operations when hyperthreading is involved. Generally there is only a single shared FPU/AVX/SSE unit doing the math over two hyperthreads. Since the Eigen implementation often can keep that unit 100% busy, it makes no sense to try and run two threads at full tilt through the units.
I tested all this very heavily before Eigen had AVX-512 support. In that environment there might be some differences and I would suggest you benchmark both configurations.
Performance of DOM based rendering is very problematic and not unified across browser implementations. Canvas rendering will likely increase the performance of Google Docs, and make the UX more unified across platforms. Google Docs is really an application built on the web platform. HTML DOM rendering was never intended to give developers the control they need to build fully featured high performant applications, we just shoe horned things until they sort of work. I think this is a positive thing, UX will be better and the integration API's will become much cleaner and not depend on structure of how they design the UI. Concerns will be separated and the end result is something much cleaner, more performant, and more supportable.
Could be interested in the right opportunity, very experienced dev and manager with Ankylosing Spondylitis who has been greatly helped by medical mj. Would be remote for now, not in LA area. Would potentially be open to relocate after the dust settles on the current situation. Email is in profile, can you send me some more info?
Depends on the cameras, but I would imagine Facebook and Google's tech + data to be able to positively identify 99% or more of the people. Especially with multiple shots per person. Accuracy might be as high as 99.9% if you have drones go over the crowds, and have high res cameras at chokepoints.
Correlate this with cell phone data and probably they have 100% accuracy. There is a reason Google Fi exists.
I say all this as a happy Google User and a developer of Face Recognition Technology. Those in the know realized privacy has been dead for awhile now. Generally computers can do most anything we can do in say 200 ms or less with the proper training data, and they generally do it better than humans. The giants have all the data they need, they just need to spend time annotating training sets and running analysis over larger and larger sets until they reach super human performance.
I know of several hackers that have gone through YC have autoimmune conditions, and I would say there is a larger population of people that have autoimmune conditions then our parents generation. I myself have ankylosing spondylitis, and live with chronic pain, back and neck problems. Probably just really interesting to people like us, who want to hack our way out of problems that medicine doesn't have good answers for yet.
I tested all this very heavily before Eigen had AVX-512 support. In that environment there might be some differences and I would suggest you benchmark both configurations.