Not the future, it did already happen, albeit on a smaller scale with Cruise: https://www.thedrive.com/news/a-swarm-of-self-driving-cruise...
The worst part is they were never really transparent about what the issue was.
164 karma · joined January 27, 2022
The worst part is they were never really transparent about what the issue was.
Google maps and Apple maps provide transit directions in their apps using GTFS and GTFS real time data (partly the reason why Apple maps was able to add transit directions feature so easily - Google had to deal with the transit agencies years before that and convinced them to publish data in open source standard formats).
Well no one cares unless one of the parties has enough money and interest to hire a lawyer.
They have a fairly generous policy is case you'd account is frozen: https://support.1password.com/frozen-account/
Wow blew my mind was when Google introduced 'hum and we'll recognize the song for you' in Google assistant: https://www.google.com/amp/s/blog.google/products/search/hum...
It works so well even with my shitty humming - even my girlfriend can't recognize what the song is but Google can. It doesn't even have the same signature as the original audio file, just similar hums in a noisy environment and it still works. Black magic fuckery.
Some of the companies are really bloated imo. Canva has 3100 employeee? Seriously? Yardi lists 8000 employees but no valuation? 8000 seems like a lot, no? That's the same as Stripe, that has a 90 billion USD valuation.
I interned at a pharmaceutical company's factory in India for the summer that used to regularly export medications to it's subsidiaries in the western world including United States. The standards are super high, we literally threw away millions of medications due to small uncertainty in a Quality control check.
Besides the local regulations and inspections, a team from FDA regularly visited the factory to audit it for like 10-15 days. Just for one factory. I distinctly remember this as we had a more americanized menu for lunch when the team visited LMAO.
So yeah, when you don't know or are not sure, please don't make statements like "factories are never inspected". It makes it seem like you know something, which you clearly don't.
1. When you say you're built on top of ROS, do you mean the autonomy stack you'd deploy in an actual robot is built on ROS? Are you using ROS or ROS2?
2. What hardware does your current autonomy stack use? For parts of your stack that'd depend on using deep learning based methods (e.g. any image or lidar data), the models that you'd train would have to use a lot of collected and annotated data specific to a particular problem/industry and this would take a non-trivial amount of time, especially since you said the camera/sensor configuration is not fixed can can potentially be decided I the simulator by the user. How do you plan to tackle this?
PS: Any potential internship opportunities at Polymath in the coming few months that I can apply to?
If I had to pick between say algorithms.me and algorithms.wtf, I'd definitely go with the second one, especially because students like me will remember it for life.
algorithms.wtf
On the other hand, companies like Walmart, Costco, Corteva, etc. would still survive and possibly thrive. Amazon would probably end up opening physical stores.
1. We doesn't have to be another country/military. It could just be another research lab in US, China, or anywhere else in the world. Some people just like pushing tech to the limits, they seek the next hardest problem. The hardest problem post robust drone controls/motion planning era (e.g. drones like DJI) is to make them pure vision based.
2. Millions/Billions? Lol what are you even talking about. It takes about 100k to fund a graduate student for one year. I wouldn't be surprised if this entire research work was less than 1 million, maybe even 500k.
Imo I don't know any other consumer car company that shows anything like that on their cars infotainment console. Companies like Waymo and Cruise do a much better job at capturing surroundings but they are in a different market where it makes sense to spend a ton of money on each car to add many LiDARs and significant compute in the car.
In the case of robotic surgery simulator, you are using the controls to control the arm, but to interact with what? If you just want to move the arm around and maybe interact with some rigid objects sure that's easy. Would that add any training value to the surgeon? Probably not. You can get value only when the simulator includes a simulation of something the surgeon would have to face eventually - organic mass of the human body. Simulating that is hard, and I doubt anyone would invest much into it when you can train surgeons on alternative physical objects like pigs.
To run a high-fidelity simulator of human body that is useful for surgeons, you need a LOT more. And I doubt it can be data-driven. Data-driven simulators for things like autonomous cars are just coming up, and these are way simple as the agent (the autonomous car) doesn't directly change the environment when it's driving around (as in, you don't have to simulate the car colliding into a traffic pole and then breaking it, etc.)
To simulate a human body, you need to be able to capture the material properties of different layers, some of which are fluids, and then also the interaction between them and how different organs react to a surgical operation. It's a very hard problem.
Why do all that when you have animal corpses readily available? There's no need to create a problem that doesn't exist.
On the other hand, simulating say skin/muscle/blood or anything that closely resembles human body is near impossible. Without that, a simulator is pretty much useless and it'll probably easier to train the surgeons on real robot + some animal like pig
The half the article is talking about likely fall into the following categories: (I) they got their advanced degree many years ago when it was easier to get a green card and are permanent residents/citizens by now. Tons of people like this in NASA, ONR, etc. (ii) they work for a defense subcontractor on something that's not classified as sensitive.
That's not true in the case of Tesla. They started as a EV company that offered autonomy later and since they were selling the product, they had to decide a minimal set of sensors that would, in theory, still work to keep the product cost reasonable.
Tesla does have a sizeable 3D ground truth; they collected tons of data mounting LiDAR on their test vehicles.