You do know that something similar is true for JPEG, right? :)
JPEG is a compression method. Files with JPEG-compressed data are most likely to be in either JFIF or EXIF container formats. Both will almost always use the .jpg/.jpeg file extension.
Nit: RDP’s roots are more in multi-user windows like Citrix Metaframe than in remote administration. I’ve found it to perform better than the alternatives (remote X11, VNC, Chrome Remote Desktop) for remote GUIs. Nomachine is the only alternative that was close to its performance.
(And before somebody jumps in to correct me - in ancient times X11 performed quite well over the network but modern Linux GUI apps are no longer designed to minimise X11 network traffic)
Heads-up to people trying this: Gmail will often put forwarded email into spam. Be careful especially in the beginning to check your spam folder. They may also reject the mail as spam, esp if your volume is large.
IIUC it’s hard to make forwarding to play nicely with DKIM and spf. There’s some disagreement on how to handle it. (I’m being purposefully vague as I did interact with folks handling this on the google side and don’t want to cause them trouble for helping me out).
Sorry, I meant to emphasize _different_ mechanical connections. That a sensor that detects pressure has a different mechanical linkage than the one detecting vibration. So you need multiple different manufacturing techniques to replicate that at correspondingly higher cost.
The “more than 10000” also has a large impact in size (sensors need to be very small) and cost (you are not paying for one sensor but 10000).
Of course some applications can do with much less. IIUC the article is all about a _universal_ humanoid robot, able to do _all_ tasks.
The article points out that the human hand has over 10000 sensors with specific spatial layout and various specialised purposes (pressure / vibration / stretching / temperature) that require different mechanical connections between the sensor and the skin.
Depends heavily on the use case. Indeed many tasks humans carry out are done without touch feedback - but many also require it.
An example of feed-forward manipulation is lifting a medium-sized object. Classic example is lifting a coffee cup. If you misjudge a full cup for empty you may spill the contents before your brain manages to replan the action based on sensory input. It takes around 300ms for that feedback loop to happen. We do many thing faster than that would allow.
The linked article has a great example of a task where a human needs feedback control: picking up and lighting a match.
Sibling comments also make a good point on that touch may well be necessary to learn the task. Babies do a lot of trial-and-error manipulation and even adults will do new tasks slower first.
Do you know of success stories here? Success of transferring models learned in physics simulation to the real world.
When we (ZenRobotics) tried this 15 years ago a big problem was the creation of sufficiently high-fidelity simulated worlds. Gathering statistics and modelling the geometry, brittleness, flexibility, surface texture, friction, variable density etc of a sufficiently large variety of objects was harder than gathering data from the real world.
Around 2008 a core step in search was basically a grep over all documents. The grep was distributed over roughly 1000 machines so that the documents could be held in memory rather than on disk.
Inverted indices were not used as they worked poorly for “an ordered list of words” (as opposed to a bag of words).
And this doesn’t even start to address the ranking part.
GitHub is also a worry in terms of exfiltration. You can’t block pushes to public repos unless you are using GitHub Enterprise Managed Users afaict.