Simulation. It takes a lot of effort today to bring up simulations in various fields. 3 D programming is very nontrivial and asset development is extremely expensive. If I have a workspace I can take a photo of and just use it to generate a 3d scene I can then use it in simulations to test ideas out. This is particularly useful in robotics and industrial automation already.
I don't see any examples of a 3D scene information usable for simulation. If you want to simulate something hitting a table, you need the whole table (surface) in space, not just some spatial illusion effect extrapolated from an image of a table. I also think modelling the 3D objects for simulation is the least expensive part of an simulation... the simulation is the expensive thing.
I doubt this will be useful for robotics or industrial automation, where you need an actual spatial, or functional understanding of the object/environment.
With research like this you need to start somewhere. The fact we can get 3d information helps. There are people looking into making splats capture collision information [1].
I have worked on simulation and in my day job do a lot of simulation. While physics is oftem hard and expensive you only need to write the code once.
Assets? You need to comission 3d artists and then spend hours wrangling file formats. Its extremely tedious. If we could take a photo and extract meshes Im sure we'd have a much easier time.
Im not American so can't comment on the US situation. However, where I live, CS grads are facing the same problem. However, switching to trades is not an option - the salaries of trade workers are not enough to pay for housing.
I've been working for 5 solid years now at my current company, Im still the youngest hire. While my company continues to compensate me really well, I think that the new grad situation is terrible.
Yeah, I came from the automotive repair industry. The only people who made money were the shop owners, and their family members. You really have to be running your own business to make ends meet.
The wages for skilled trades are enough to pay for housing outside of HCOL areas like New York City and the SF Bay Area. People may need to move to restart their careers. There is high demand for electricians in Plano, TX. I understand that making that kind of move is difficult and highly disruptive but at some point workers have to face reality. Regardless of whether the root cause is AI or offshoring or higher interest rates, a lot of the old tech industry jobs are gone forever.
If i have two kids to support, how am i going to afford a) cost of relocating to LCOL b) cost of supporting family on lower wage c) while going through a multi year retraining program and d) paying for the training?
It's going to be rough for a lot of workers caught out in this structural labor market shift. I sympathize with them and there are no easy answers. People are just going to be forced to figure it out in order to survive.
I think most tradespeople live where they grew up which may not be LCOL but not high either. May need some certifications/formal training but is mostly an internship situation.
My understanding is that in many countries the biggest blocker to increasing number of doctors is the fact that there aren't enough doctors to teach. Unlike CS where we can simply increase the number of seats in. A course with medical school there are real bottlenecks on things like cadavers and mentors.
There aren't enough spots in medical schools. I was a 4.1/4.3 GPA in Canada and I didn't get in med school. My sister got in with a 4.24/4.3 GPA (one single A, all A+).
Doctors in control regularly shut down any attempts at increasing this limit.
While true, it's also true that scaling medical school is not like a CS situation. My school quadrupled the number of CS seats to meet demands over 4 years. I can't see this happening with medical schools. My brother who is currently in a medical school regularly says how hard it is for the faculty to find teachers simply because there aren't enough. To add to it there are bottlenecks like not having enough cadavers.
Medical education is very hands on unlike engineering where we just throw people in the deep end at work. This is with good reason.
I'm absolutely for having more doctors and medical school seats but I think it's important to acknowledge that it maynot be as simple as increasing seats. There needs to be more fundamental reforms. That being said yes there are completely pricks of doctors who enter politics.
After I finished grad school (electrophysiology and imaging in large animal models, so seemingly relevant experience), I thought about becoming a clinician. However, I wasn't even eligible to apply to med school because it had been 5 years since I took an introductory biology or physics class (with lab!). It seems I was qualified enough to teach in a medical school but not to be a student.
A faster scientist -> practitioner pathway would be such an obvious win-win: it'd help with the overcrowded academic job market AND relieve clinical shortages, but most of the emphasis seems to be on getting MDs into research instead.
Right. Medical school in other countries is certainly not a walk in the park. But nor is it the hellacious endeavor it can be in the US, especially then as an early resident.
My general experience as a PhD student makes me feel that we probably should look at the system as a whole. I get the feeling most universities are abusing publications as a way of assessing their own students. It means people will tend to publish slop for the sake of publication instead of genuinely tackling hard problems. I personally have seen my university get away with forming defence committees with 0 knowledge of the field they're assessing. If the university can't assess its students work then they should not be teaching.
I think both conferences and journals are broken in this regard. It doesn't help that professors primary jobs these days is to be a social media influencer and attract funding. How the funding is used doesn't seem to matter or impact their careers. What we need is more accountability from senior researchers. They should be at the very least assessing their own students work before stamping their name on the work.
On the flip side it isn't untrue that there are major breakthroughs happening daily at this point in many fields. We just don't have the bandwidth to handle all the information overload.
I used to be in (molecular biology) research. At some point my supervisors were already working towards a paper in their mind, while I was still doubting (the statistical significance of) my findings.
In the end I left my Phd track before actually finishing it. My conclusion is that I like research(ing stuff) as a verb, but I don't like research as an institute.
I knew this was coming thanks to the nincompoops bankers and IMDA together with horny uncles who fall for love/job scams here in Singapore. The reason I use android over iOS is that I can load apps for personal automation. I think the current scenario where bank apps refuse to run on phones with sideloaded apps is far more acceptable. Im not sure scammers will not find a way around this. I can still be able pin web apps.
FWIW I'd rather not use my phone for critical transactions its making authorities lazy. The number of times Ive had to fight thanks to "buggy" payment code that deducts money is not funny and banks are getting worse at customer support day by day.
Also what the fuck are the governments doing with tax payer money, instead of going after criminals, we go after citizens.
How do you plan on competing with existing Chinese manufacturers. Unitree for instance sells there robots at a reasonable price and already has walking working.
Well, I believe the competition up until now has mostly been on hardware, but moving forward it will mostly be in software. I don't think we will be outcompeted by Unitree on software. And I hope to capitalize on our engagement with the open source community in a way that Unitree has not.
As a non-American who's life has been previously saved by knowing that a typhoon would strike my home this has me wondering how we will be affected. A lot of smaller countries don't have the infrastructure/man power to maintain a space program. To what extent is the rest of the world reliant on this data and what does this mean for us? Will we still have predictions? How does international collaboration on meteorology generally work? Do Europeans/Chinese/Indians/Russians also share data about weather?
I feel like we bolt anti-trust after a market has developed. For instance, we go after big tech once it has entrenched itself. Whatabout taking pro-active action. For instance, in the ML market we should be sponsoring a gajillion companies to take on chip design so that we don't end up with a future where NVidia is the sole provider of AI chips. We should foster open standards and penalize companies for not adopting/hijacking them where possible. Similarly we need to make sure the zoo of ML model providers survives rather than consolidateing to a few. I think there may be ways to do this without being adverserial about it.
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