Hydrophonic farming at home. You can play with sensors (acidity, humidity etc), LED lighting (frequencies, intensity, etc), vision processing (maybe throw in some AI buzzword here) to keep track of your plants and do some decision making.
Trump ensured that there is absolutely no reason for any nation, not just Iran, to believe what USA says in the future. No agreements/treaties with the USA can be trusted. And not just with Trump administration, since he demonstrated clearly that he can tear any treaty/agreement that was made under different administrations as well. The United States demonstrated that it has very, very limited control over the actions of an elected president.
Next challange: Place a camera in front of the bike that scans approaching pedestrians. Calculate their head position and trajectory. Use directional speakers and focused sound beams to focus the ~780Hz sound towards the head(s) of the pedestrian(s). Now that you are not bothering the environment as much, you can increase the volume as well.
Seems like Germany is having this problem for the past 20 years... but here we are. Maybe accept the fact that they are a manufacturing powerhouse and will remain so in the foreseeable future?
Isn't this a strange way to put Toyota to be "closer" to Tesla by "enterprise value"? I mean, if toyota had 1T USD debt, it's enterprise value would have been 1.25T, and it would have been more "valuable" than Tesla. But, how is that "better", if you want to invest in a company?
I'm surprised TSLA is in such a good shape, debt-wise.
Sanctions by countries who developed a certain technology, appear to always result in the country which was sanctioned to develop that technology in some timeframe, depending on the complexity.
Was there any case of a "successful" sanction in history? Or is holding back a country for a few years (or decades depending on the tech) considered a success?
The general consensus seems to be that low income and low skill workers will be affected real soon.
I don't know where we currently are in the hockey stick curve in ML/AI development, but if it keeps developing at this pace it will soon start hitting high-skill and high-income workers, and then we're going to have a huge economic problem.
I've read all the comments and looks like no one has mentioned this, but as someone who worked a total of ~25 years, on both continents (10+15 years), I have the following observation, and it really is a simple one:
American hardware/software engineers work really, really hard, compared to their European counterparts.
Given identical goals, same level of funding, same underlying tech, and similar market size, a US startup will almost always be more successful then its European counterpart, simply because of the difference of total amount of work done in a given month/year.
I've worked with outstanding people in both continents. Top-notch, impressive engineers. I can easily say, the output of my US colleagues were significantly higher.
What's fascinating about airplane design for me is not the huge technical complexity, but rather, the way it is designed such that a lot of its subsystems are serviceable by technicians so quickly and reliably, not just in a fully controlled environment like a maintenance hangar, but right on the tarmac, waiting for takeoff.
The article says "The new CarePod modules are being deployed in malls, gyms, and offices starting in the San Francisco Bay Area, New York, Chicago and Philadelphia.", and yet the only video posted by the company is a 3D animation?
Given sufficient road width, takeoff/landing length, and road "quality" (smoothness, etc), why wouldn't an aircraft be able to takeoff from and land on to a highway? I mean, what is the actual significance of this?
I wish this text file had a last-updated-date in it.
Just recently we had a OUI chip which was being used in one of our boards, which was throwing off our post-production automated tests. Turns out the vendor added a new OUI, but didn't update all the references to its datasheets on their website. Took us a while to figure out what the problem was.