Recent research indicates that controlled inhalation of ultra-pure graphene oxide does not have short-term adverse effects on human lung or cardiovascular health, marking a significant step in safely harnessing grapheneās potential for various applications. Credit:…
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Researchers at Stanford University have discovered that allowing lithium metal batteries to rest in a discharged state can significantly restore their capacity and extend their cycle life. This method, which is both low-cost and straightforward…
Pulsed laser deposition, in which a laser beam ablates a material that is deposited as a film on a substrate, was used to fabricate the HTS wires. Credit: University at Buffalo New research reveals that…
Innovative perovskite waveguides with edge lasing effect. Credit: Dr. Mateusz Krol University of Warsaw and the School of Physics at the Australian National University in Canberra Scientists have developed perovskite crystals that could revolutionize optical…
The tiny device could enable a user to rapidly create customized, low-cost objects on the go, like a fastener to repair a wobbly bicycle wheel or a component for a critical medical operation. Credit: Sampson…
The SPARROW algorithm optimizes drug discovery by efficiently selecting molecular candidates that balance cost and potential benefits, using machine learning to assess numerous variables and improve synthesis decisions. Credit: SciTechDaily.com Researchers at <span class="glossaryLink" aria-describedby="tt"…
Researchers have developed a tiny implant with neuron-sized electrodes that can remain intact in the body, offering potential for future vision implants for the blind. This implant could stimulate the brainās visual cortex, creating images…
Researchers from Bar-Ilan University have uncovered how machine learning successfully classifies images, revealing that each filter in a deep learning architecture recognizes and refines the recognition of image clusters through layers. Current AI architectures can…
New research explores the potential risks and ethical implications of machine sentience, emphasizing the importance of understanding and preparing for the emergence of consciousness in AI and machine learning technologies. It calls for careful consideration…
The AI-NERD model learns to produce a unique fingerprint for each sample of XPCS data. Mapping fingerprints from a large experimental dataset enables the identification of trends and repeating patterns which aids our understanding of…
