Posted in artificial intelligence, biotech/medical, robotics/AI | Leave a Comment on An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis
Mondal, S., Maity, R. & Nag, A. Sci Rep 15, 4,827 (2025). https://doi.org/10.1038/s41598-025-85765-x.
Synthetically replicating transmembrane protein signal transduction is a gaol of synthetic biology. Here, the authors show how the dimerization of synthetic transmembrane DNA receptors can be used to engineer sensing and actuation cascades in response to external molecular signals.
All genomes are replicated in a temporal order, though the determinants of such timing are poorly characterized. Here, the authors show that the unusual chromosome size-dependent DNA replication timing in Leishmania is influenced by RNA-DNA hybrids that are recognised by the endonuclease RNase H1.
Meta FAIR is sharing some of our most recent research and models that support our goal of achieving AMI, and our long-held commitment to sharing open and reproducible science.
Posted in chemistry, nanotechnology, robotics/AI, transportation | Leave a Comment on Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties
The automated synthesis of plasmonic nanoparticles with on-demand properties is a challenging task. Here the authors integrate a fluidic reactor, real-time characterization, and machine learning in a self-driven lab for the photochemical synthesis of nanoparticles with targeted properties.
Manu Prakash, an assistant professor of bioengineering at Stanford, and his students have developed a synchronous computer that operates using the unique physics of moving water droplets. Their goal is to design a new class of computers that can precisely control and manipulate physical matter. For more info: http://news.stanford.edu/news/2015/ju…
Music: “Union Hall Melody” by Blue Dot Sessions.
Meet the black soldier fly larvae, a tiny waste-eating bug that creates a fantastic organic fertilizer that can improve soil health.
Tesla’s first four-hour Megapack project in the Netherlands has gone online, coming as the latest of the company’s energy storage deployments.
A small team of AI researchers from Stanford University and the University of Washington has found a way to train an AI reasoning model for a fraction of the price paid by big corporations that produce widely known products such as ChatGPT. The group has posted a paper on the arXiv preprint server describing their efforts to inexpensively train chatbots and other AI reasoning models.
Corporations such as Google and Microsoft have made clear their intentions to be leaders in the development of chatbots with ever-improving skills. These efforts are notoriously expensive and tend to involve the use of energy-intensive server farms.
More recently, a Chinese company called DeepSeek released an LLM equal in capabilities to those being produced by countries in the West developed at far lower cost. That announcement sent stock prices for many tech companies into a nosedive.
