Microsoft AI analysed 33 million candidates to find material to replace lithium
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- Опубліковано 13 січ 2024
- Microsoft AI analysed 33 million candidates to find material to replace lithium
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They found Lithium in Salton Sea ( California ) and it can be used for 375 million electric cars. It will be extracted from geothermal brines which is a less energy-intensive method. The brine concentration is 400mg/L which is considered good.
Microsoft AI is amazing. I believe they are working right now on developing a super Clippy. One that accurately deducts if you are trying to type a letter.
In 2013 "A team of scientists from Ames National Laboratory developed a new machine learning model for discovering critical-element-free permanent magnet materials" Lots of machines working to compress the next 250 years into the next 20 years.
There are already numerous lithium alternatives that are in various states of development.
Aluminum ions will work great but will require titanium or copper collector foils. 3 electrons per ion would easily compensate for the more expensive materials needed for the collectors, though.❤
Lithium is, for our purposes, among the most active metals on the periodic chart. There is no AI generated magic compound that will allow us to move more ions. The composition of matter, being what it is. Electrochemical energy storage has finite and well known limits.
its amazing that Microsoft's research acceleration AI could come to the same conclusion as you in such a small amount of time instead of the centuries and millenia it would have taken normal human beings. Truly a monumental feat.
Great video, I hope they also use the A.I. for testing the safety of novel new materials before releasing them on the world.
oh! you showed the Big Nickel in Sudbury, Ontario, Canada. Im from that hell hole of a town.
Interesting AI development. I work in the IT industry and we are still using manual methods to deploy and configure network equipment. ie "Console cable and SSH". I'm predicting AI will soon learn the technology and replace me and do it better and faster. One person can monitor the AI system and replace a team of network analysts except for the techs who do all the hands and feet work to install hardware and cables. The AI will surely be capable of managing that team and deploying them via cell phone application to install/decommission/replace failed equipment. In addition, AI will be cable of configuring firewalls and monitoring traffic for threats.
HERE WE GOOOO🌎🔥🔥🚀🚀🚀🚀 ai starting to problem solve oh yeah future about to go crazy yah best get ready because sh about to go down
About time I started hearing more about this particular use of AI. There are so many applications to accelerate science for good things using all known facts about chemical properties and physical. Cures for illnesses, how to save more water, farm better... etc.. but that is only if we don't all destroy ourselves first. It's a pity... so close to our own prosperity, yet we would rather try to destroy and rule.
So they went to all that effort only for the ai to come up with a solution that we already have? brilliant, what a time to be alive!
The method described exactly the method by which the pharmaceutical companies select target molecules for medicines. This method is I believe used for almost 20 years. So the AI scare is not needed at all.
Won’t be long before the Star Trek Replicator will be created.
Wow, this is a very informative video. Thanks 🙏🏻 brother
Their answer from their great AI - Use Windows XP
Lithium is not the issue. Cobalt or nickel are bigger issues.
Battery density keeps increasing and the cost keeps dropping. This would never have happened without Telsa bringing EVs to the masses if someone else doesn't do it Tesla will.
We've known about sodium batteries since forever. Sodium lithium isn't a replacement for lithium, it still requires lithium. This only really postpones rather than solves the problem of our dwindling lithium reserves. (which is why an alternative is needed) Sodium also forms more dendrites than lithium and has fewer recharge cycles and has a lower energy density. But progress is already being made in sodium batteries.