ChemCrow, an AI developed by researchers at EPFL, integrates multiple expert tools to perform chemical research tasks with unprecedented efficiency.
Chemistry, with its intricate processes and vast potential for innovation, has always been a challenge for automation. Traditional computational tools, despite their advanced capabilities, often remain underutilized due to their complexity and the specialized knowledge required to operate them.
A team led by Prof Frank Glorius from the Institute of Organic Chemistry at the University of Münster has developed an evolutionary algorithm that identifies the structures in a molecule that are particularly relevant for a respective question and uses them to encode the properties of the molecules for various machine-learning models.
AD — Go to https://ground.news/drbecky to stay fully informed with the latest Space and Science news. Subscribe through my link to get 40% off the Vantage plan for unlimited access this month only. | I often get asked how do we know dark matter exists? Which is why I’ve made a video on all the observational evidence we have before (linked below)! But occasionally I’ll get asked how do we know how much dark matter there is, which is a really fun question. There’s many different ways we can calculate this, including the ratio between normal (baryonic) and dark matter, but in this video I just wanted to highlight three different ways astrophysicists calculate this.
Here’s my previous video on all the evidence we have for dark matter — • All the evidence we have for dark mat… My previous video on whether dark matter could be made of black holes — • Is dark matter made of black holes? My previous video on whether black holes contain dark matter — • Do black holes contain dark matter? My previous video on why galaxies merge if the universe is expanding — • If the Universe is expanding, then wh…
Follow us on Instagram for new content, giveaways, and more: https://shorturl.at/rwC16In a ‘billiard-ball world’ of Newtonian science, causation was obvious—…
Learn more about quantum mechanics from my course on Brilliant! First 30 days are free and 20% off the annual premium subscription when you use our link ➜ https://brilliant.org/sabine.
Particle physics have conducted a test using data from the Large Hadron Collider at CERN to see if the particles in their collisions play by the rules of quantum physics — whether they have quantum entanglement. Why was this test conducted when previous tests already found that entanglement is real? Is it just nonsense or is it not nonsense? Let’s have a look.