Phew, agreed. I mean of course the company "can" read the message. If it does, I would love to see that shown by the app upfront, so I can avoid using it.
HN user
imagiko
Whoa wait what..is it really E2E if they can analyse the content before putting it through their network?
Thanks for clarifying!
Any and all consequences
Is the implication of violence/aggression in said speech is a justified consequence?
Said commenter has _completely_ missed the point
I'm I understanding this correctly, this is because it is against the principle of free speech, and people might conflate it with 1A? Isn't it preconditioned on everyone being on the same page about free speech? We've seen people having extreme opinions being shunned by the the rest of the cohort. How does this group then maintain cohesion, rather is it even possible to do so?
Assuming your developers have malicious intent is a bit strange for me personally. But I get that some companies may have this structure in place.
no real valid reason to do so
I'm struggling to find a reason within my org as well.
I just Ctrl+F'd Google Meet and no one seems to be really talking about it. We've been using it for our meetings for a long time and it works really well. I'm wondering why it doesn't have widespread adoption. You can call-in via phone, can log the minutes of the meeting and seems to "just work" too
Been trying to set a shortcut to move between panes of a tab. Anyone done this successfully?
I just want to take a moment to thanks folks over at memfault for bringing us in depth content from the world of embdedded systems. Be sure to check out their articles on ARM, RTOS etx.
We once had a team member re-write their R code in Java, using weka just to avoid too much hassle for the back-end team. So I guess you're not alone!
Looks very interesting. Will definitely explore in this direction.
Please NEVER hardcode regression model coefficients within Java.
Amen to that.
One way is to obviously go all out Java - definitely makes things streamlined. But not all team members are familiar with Java. Especially not ones formally trained on data science - who tend to work with R/python etc. Atleast that has been my experience.
Did you have the two systems talking to each other through HTTP endpoints? I mean the ML system receiving data from a source API and sending back a result? Is this where AWS lambdas jumps in? Are there any formal tools that facilitate making these endpoints?
And how do you get data on the fly [prediction phase]. Do you have an API call you make to get data that your ML algorithm can munch on?
I imagine I will be breaking down into different services as well. An ML "blackbox" that makes a call to the back-end for data and returns a result/prediction. This could happen through an API. What kind of API to choose is still open.
I'm not very sure what you mean when you say the ML results were pre-computed?
I'm going to have a hard time convincing my team to adopt a completely new language :)
I thought calfile was the go-to place for cal state taxes? I use it every year and I think it's a fairly nice tool
It is project Soli that graduated from ATAP!
Looks like the lovechild of Galaxy S9 and iPhone 11. It's good to see project Soli graduating out of Google ATAP!
How do you source/buy these different kinds? I've mostly had Californian pistachios, and I think they're amazing. But I keep hearing about the Iranian/Turkish varieties which is probably where the pistachio plant is native to.
Oh cool, thanks!
I'm interested in this too! I've been looking for one that can be used with arm-gcc for cross compiling on embedded platforms. What do people use in such situations?
this is not a place for bad faith arguments
What are the metrics for 100% coverage - just that they are built or whether they are maintained regularly with adequate drainage system, is there water available? There is a good way this metric can be gamed by going on a building spree without really worrying about drainage, maintenance, usage.
Wondering if this is an alternative to some other lightweight git hosting services such as gitea/gogs. Good reason to consider switching?
They have discounts for educational institutions if price is really that much of a concern, it's great value for the features they pack in that little thing...and honestly "professionals" use much much more expensive instruments in their labs.
In the spirit of the discussion of low cost lab electronics - may I throw in the Analog discovery 2[0]:
Agree so much. Every project I run, I start off working with the available IDE (Keil, Eclipse) that the manufacturer likes and then take the effort of writing a Makefile for it. Absolutely hate dealing with IDEs and their buried settings! Terminal, code editor and gdb FTW :)
Arduino is for quick validation and prototyping. Pick up an Arduino nano for couple of $ and try it out. The programming language is easy to pick up and will get you a quick app(though basic) app running. It has made electronics accessible to a lot of people. Raspi opens a different world as you have a bunch of other peripherals available for you already builtin, without having to get "shields". There is a large ecosystem of shields available in the arduino world that make prototyping easy. So it may eventually boil down to what you want to do and how much effort you are willing to put in for the project. In my opinion, arduino are good for initial protoyping/weekend projects, and microcontrollers/embedded linux are good for engineering projects and will set you up for a long haul in systems engineering.
How are those battery terminals connected to the logic board - it has no connector header, just flat leads? Hard to keep up with miniaturization of connectors!