As far as seeing and ignoring fixed objects, you can also remove any returns that have a near-zero velocity in radar and focus only on those objects that are moving.
Of course, indoor settings have a lot of non-stationary objects as well that might not be targets of interest to you, like fans, curtains blowing in the breeze, etc. So you can also develop algorithms to remove those signatures too.
Seeing fixed objects can be beneficial as well, for example, if you have a sensor deployed in a room but you don't know a priori what the room looks like. Longitudinal results and long range statistics can take you pretty far in seeing the room extents and layout and furniture, etc. Though a lidar sweep is better if you can get it
Oh Jua, it's cool to see that name. They've been on my radar since I applied to (and was rejected by) them earlier this year. I'll be interested to see the research paper once it is published next week, especially since they claim their model surpasses Aurora and Graphcast
I was about to say "they still torture students this way" but stopped myself when I remembered I took Circuits 1 and 2 back in 2007. So maybe my knowledge is dated too...
It's a weird butterfly effect moment in my career though. I had an awesome professor for circuits 1, and ended up switching majors to EE after that. Then got two more degrees on top of the bachelor's
Very cool project. There are some presentations by the PI on youtube that I recommend searching for. One of the interesting takeaways I had was that they were able to do better with mesoscale phenomena and extreme weather prediction than the other players (like Graphcast and Pangu and FourCastNet), in part due to their technique for training a higher resolution data space (0.1 deg vs 0.25 or 0.5). I also found it interesting that they were able to show a scaling relationship where performance increased by 5% every time they doubled the model size - and their loss was still improving when they had to cut it off due to cost constraints.
I love the creativity that goes into naming these projects in the geosciences! I've been a part of several of these projects myself, and have used data and collaborated with teams from many more.
One point of clarification: GNSS is a term that has broader application than you describe, as it encompasses constellations from other countries and political associations as well. For example:
* Galileo - European Union's GNSS system, named after the astronomer
* BeiDou - China's GNSS system
* GLONASS - Russia's GNSS system
* JAXA - Japan's GNSS system
One backronym that I liked from my time doing my PhD was RELAMPAGO, which is a Spanish word for "lightning," but which some group of scientists gave this definition: "Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations". It was a very cool campaign that produced a ton of amazing data, and catalyzed many dissertations (including one of my close friend's).
GPS was the more generic term until US Navstar-GPS became such the default that it aquired the generic term. And eventually dropped the Navstar, officially.
I've seen other research and discussion on this topic. Some stats that may be validating for you (and others) to hear:
* There's a 0.08% job application -> offer rate when applying through LinkedIn (LI). An average of 1 in 1,250 applications lead to an offer
* The linked paper on this post finds that 21% of postings are ghost jobs, but I've seen credible estimates that the proportion is as high as 50%
* A Stanford survey found hundreds of fake LI profiles, AI-generated "recruiters" that are interacting with candidates and posting ghost jobs on behalf of big companies
* ~75% of resumes from qualified applicants are never seen by a human
* resumes get on average 6 to 8 seconds of consideration when they are reviewed by a human
* 300,000 jobs are outsourced annually (with respect to the US)
All this to say, you're right, something is fundamentally broken in the labor market, especially the tech labor market. And not that many people are talking about it, except for those of us who have been unfortunate enough to need to look for jobs in the past ~2 years.
In my own case, my previous employer (a startup) ran out of money and laid everyone off last Fall. I was fortunate enough to find a new position, but this job search was the hardest I've faced since 2008 - and it seems worse now than it was this time last year.
I once applied to a position like this. It was eerily similar to my background, and when I did a little digging I found that the group lead had even directly cited my research papers in his own research work.
I applied on the site, reached out on LinkedIn to the group lead and the recruiter, and even was able to find emails for those two, which I also messaged as well.
They didn't even bother to send me an automated rejection notice. There was nothing at all, no responses to any messages, no email, nothing. I have to assume that position was posted with someone already in mind that they wanted to hire.
When I last changed jobs, I started looking at the end of 2021. I was a staff SWE at Google, MS CS from Stanford, etc. - a good resume.
I also found myself applying into a black hole. But when I used second degree connections to get someone at the company to acknowledge I existed, everything started moving, and I ended up with great offers from both the companies I had applied in.
Sometimes there are ghost roles, but sometimes recruiting is inundated or disorganized and you just need an internal champion.
I don’t think you intended this, but it made me chuckle… Your comment essentially boils down to “come from a privileged background and things will work out”.
That's an uncharitable read. Connections can be made, not only received.
Networking is different kind of work than sitting at a desk, but it's still work. The benefits of that work are seen next time you want a job. Every freelancer operates this way, for example.
Specifically, I asked a former colleague at Google to to ask one of his connections at the prospective employer to ping HR. Sounds like you thought I was asking my dad's friend to help me or something...?
This so much. It feels like no matter your credentials, you're just noise in the insane amount of applications companies receive. Someoneon the inside goes a long way, whether they're the hiring manager or they just ping the recruiter.
Because he did not get the job for what he knows, but who. Another candidate of equal knowledge, without the privilege of his connections, would not have succeeded.
That's a very odd take, not what I meant at all. All it got me was an interview, and then I went through the standard process, at two different companies.
I’m sorry I do not buy this as a form of “corruption”. Employers aren’t obligated to create perfectly leveled fields for candidates to apply on, especially when candidates are using AI to gin up fake resumes. Perhaps in some fields this is a legal obligation, but I don’t think that is what we’re discussing.
If the world were both good and just then perhaps I could hop on board. But it most certainly isn’t. Frankly, saying so sounds like sour grapes.
And "corruption" is an interesting way of saying that you don't think personal connections should pay into business decisions but I realize many folks in tech roles think that way.
Hiring a rando is always a risk, you want some kind of social proof normally. And if you've spent an entire career without developing that kind of proof, well that's a red flag.
Self-reply since I can't edit my comment: I used professional connections, not personal ones. And all it did was get me an initial interview vs. being ignored by HR.
I don't even mind paying up front anymore. I'm in a position where I can afford it now, though for most of my adult life I've relied on sites like this to make ends meet.
However the only thing I want from publishers is DRM-free e-books (same for music). If you offer a way for me to actually own the digital property I'm buying, I'm going to buy it. If you make it hard or impossible to transfer between my devices, or share with my wife and kids (i.e. how physical media works), you're not getting my money and I'll find another way to get the book.
This happened to me following a concussion. I worked with a therapist who suggested a "game" that could help my word recall. Every night before sleeping, pick a category and try to name an example from the category for each letter of the alphabet. Choose a different category every night so you're always challenging yourself.
Of course there's no substitute for working with a PT who specializes in post TBI recovery.
I've gained a lot of my recall back (though not at 100%).
Yeah for sure. So say your category is "fruits and vegetables". You might say Avocado, Banana, Celery, etc. The goal is to challenge yourself, and it's more of a stretch than you'd think (but a good exercise). Or at least, it was a stretch for me especially at the beginning
Yea, I Just read that last week… of course I can’t find it now on my phone.
I have been using it all week. It concentrates the mind but on random things.. which helps with boredom and sleep. It also avoids spiraling down on a single topic which typically makes sleep harder.
They suggested not only thinking the word but also visualizing it. I have found it fairly effective this week
I wouldn't read too much into it. UK is one of my alma maters. Everyone in that area of the US means "University of Kentucky" when they say "UK". It isn't a dig at the United Kingdom nor is it (I assume) an attempt to gain undue credibility by associating with the country. For the people there, UK as the University is simply the first order association for that acronym, rather than what is to them a faraway country that has no bearing on their day-to-day lives.
I don't think I am? I'm just agreeing the title should be different here, and it has now changed so either the submitted or a mod agreed.
> Everyone in that area of the US means "University of Kentucky" when they say "UK". It isn't a dig at the United Kingdom nor is it (I assume) an attempt to gain undue credibility by associating with the country. For the people there, UK as the University is simply the first order association for that acronym, rather than what is to them a faraway country that has no bearing on their day-to-day lives.
Right, that's what I meant about audience, and it making sense for the UoK's PR dept.
Of course, indoor settings have a lot of non-stationary objects as well that might not be targets of interest to you, like fans, curtains blowing in the breeze, etc. So you can also develop algorithms to remove those signatures too.
Seeing fixed objects can be beneficial as well, for example, if you have a sensor deployed in a room but you don't know a priori what the room looks like. Longitudinal results and long range statistics can take you pretty far in seeing the room extents and layout and furniture, etc. Though a lidar sweep is better if you can get it