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 brain’s 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…
Researchers have developed an innovative tool that accelerates the design of auxetic materials—materials that expand when compressed and contract when stretched. This could lead to broader applications in products requiring impact resistance and comfort, such…
A new AI model from the University of South Australia offers a faster, more cost-effective method for schools to assess student creativity. The model significantly reduces the time and cost of scoring creativity tests, helping…
Research has produced a ferroelectric capacitor with 19 times the energy density of current models and over 90% efficiency, using novel 2D/3D/2D heterostructures. Credit: SciTechDaily.com Scientists have developed a new method to control the relaxation…
The Grid Signature Event Library energizes utility and researcher understanding of grid behavior by providing access to datasets of waveforms from grid operations. Credit: Adam Malin/ORNL, U.S. Dept. of Energy Library of operating data enables…
Advanced machine learning algorithms have shown potential in efficiently controlling complex systems, promising significant improvements in autonomous technology and digital infrastructure. Recent research highlights the development of advanced <span class="glossaryLink" aria-describedby="tt" data-cmtooltip=" machine learning Machine…
Researchers at the University of Cambridge found that increasing the disorder in supercapacitors’ carbon electrodes significantly enhances their energy storage capacity. This breakthrough could elevate the role of supercapacitors in the energy transition and public…
