The rise of advanced artificial intelligence technologies motivated their application to drug discovery…Traditional molecular representation methods rely on a large amount of domain knowledge…motivated by computer vision and image-based deep learning technologies, we presented a self-supervised image representation learning framework that combines molecular image and protein representations for the accurate prediction of compound-protein interactions.
Designing a chip layout is not a simple task. Computer chips consist of many interconnected blocks, with layers of circuit components, all connected by incredibly thin wires…Similar to AlphaGo and AlphaZero, which learned to master the games of Go, chess and shogi, we built AlphaChip to approach chip floorplanning as a kind of game…The method has been used to design superhuman chip layouts in the last three generations of Google’s custom AI accelerator
Newly discovered figures dating back to 200BCE nearly double the number of known geoglyphs at enigmatic site
The AI model, called TxGNN, is the first one developed specifically to identify drug candidates for rare diseases and conditions with no treatments...It identified drug candidates from existing medicines for more than 17,000 diseases, many of them without any existing treatments. This represents the largest number of diseases that any single AI model can handle to date. The researchers note that the model could be applied to even more diseases beyond the 17,000 it worked on in the initial experiments.
There are more ways to synthesize a 100-amino acid (aa) protein than there are atoms in the universe...Deep neural networks are increasingly being used to navigate high-dimensional sequence spaces1..we show that the genetic architecture of at least some proteins is remarkably simple..Our results indicate that protein genetics is actually both rather simple and intelligible.
Google Research has partnered with fire community leaders to launch a new purpose-built satellite constellation designed to detect and track small wildfires within 20 minutes.
A new white paper co-authored by ABB and Porsche Consulting details how robotic automation in surface treatment applications can transform productivity and profitability in the electronics manufacturing industry.
The video features Nadia robot stretching and boxing, guided by an engineer in VR goggles whose movements are seamlessly transferred…“While this has any number of applications, it can be particularly useful in firefighting, disaster response, and other scenarios that might be dangerous for humans such as Explosive Ordnance Disposal (EOD),” according to the IHMC website.
An ideas generator powered by artificial intelligence (AI) came up with more original research ideas than did 50 scientists working independently, according to a preprint posted on arXiv this month...The human and AI-generated ideas were evaluated by reviewers, who were not told who or what had created each idea.
“Robot utility models” sidestep the need to tweak the data used to train robots every time they try to do something in unfamiliar settings.
