IYO where would you invest related to humanoid robots may be a level 2 or 3 business in this sector.
@arjunalbert45465 күн бұрын
Isn’t Alexander graham bell Canadian?
@sufoguets2 ай бұрын
A suggestion! October ends ' new song is on a whole ottheyr level. You should react to their new song! 🔥
@SuperRia332 ай бұрын
Thanks for example based explanation..now my doubts are clear
@MahmudTechnology9063 ай бұрын
Hi there, I saw your KZfaq [ Alumni Ventures ] channel video, You have uploaded many beautiful videos. But your video doesn't get views and subscriptions, This is because your title, keyword, tag, and thumbnail are not properly SEO, so your video is not getting views and subscribers. if you fix them you will get better results. Please let me know if you have any questions or concerns. Thanks and Regards, Mahmud
@aldertravels3 ай бұрын
yippee
@sumsar016 ай бұрын
The first law also is a classical law. Energy isnt actually a conserved quantity as far as we know.
@shoopinc6 ай бұрын
Reaction stability is the key going forward now that ignition has been achieved. The stability of the plasma is a difficultly on the magnetohydrodynamic side of fusion technology.
@AkaRyrye836 ай бұрын
Its def cool, but you did leave out an important fact: while the reaction was greater than the output of the laser, it took something like 100x that to create a laser pulse (inefficiency), and that they can currently only fire it maybe a few times a day at best. Other than the laser, theres some other big engineering challenges like, how would they load the pellets quickly enough, and where the heck are they going to get enough tritium? Time will tell if the challenges can be overcome, but I am kinda skeptical RN
@Meton25266 ай бұрын
YES, good comment man. The video got a lot either outright wrong, or was at least very misleading. Like you said, the "more energy out than in" is ONLY when looking just at the energy of the laser pulse, and the energy evoked. It does not include the energy required to construct all of the facility and apparatus, nor the energy required to make the tritium (tritium is not naturally occurring, it is a byproduct of fission reactors, and is not a hugely abundant resource, we barely have enough to run the experiments we want.) It is also looking at the raw energy out. This is not useful electricity. Even if we were able to scale this process up, and the energy balance was such that the total energy cost was less than was released by the reaction, that still has to be captured, probably by heating water, to turn a turbine, to generate electricity, and that has an efficiency loss, every step of conversion from one form of energy to another does. And that's assuming we could use this same process to create a sustained reaction that can be captured by water (or some other method of making electricity. And all of that is COMPLETELY ignoring the financial costs. Fission power plants are currently not being built in the US in any significant amount, and it's entirely because it's too expensive and has too long a "time to profitability". It was too expensive 5 years ago before interest rates started going up, and it's WAY too expensive now. We are still a LOOOOOOOONG LONG way off from viable civil fusion power.
@ctkdev6 ай бұрын
Thanks for the information on Bionic Health!
@safarijunior27888 ай бұрын
Can you please help me learn more about it before starting??
@AlumniVentures8 ай бұрын
Our portfolio company Rwazi, provides Global 1000 companies with rich, reliable market data to help expand their businesses in Africa’s fast-growing consumer market. You can learn more about Rwazi and how they are revolutionizing market intelligence on a global scale, here: www.av.vc/blog/one-startup-to-know-rwazi.
@mdrifatkhan7498 ай бұрын
Hello how are you
@mdrifatkhan7498 ай бұрын
hello sir
@brioncrum95239 ай бұрын
is this the same fund I am investing in through Alto IRA in my SEP/IRA?
@ItsCOMMANDer_9 ай бұрын
Also you cant compare fpga and gpu like tgta. Fpga is a kind of specual hardware while gpu is just the name of a job for a puece of silicon with transistors in specific aragements and the fpgas where probably 0rogrammed to perform the same task as tge gpu but more wfficent at the things it has to do and left out crrtiant fetures wich a gpu might have
@ItsCOMMANDer_9 ай бұрын
Tpu left the chat
@valtoo32759 ай бұрын
I don't think we will see FPGA in ai based application at scale. The main issue with AI now is raw compute power. An fpga is bad, really bad at raw compute power. They advantage are the flexibility and reconfigurability at reasonable cost. You want an FPGA where an ASIC is not cost effective. Not for crunching millions of numbers.