Miniaturized Infrared Detectors: Chip Integration for Wearables
Integration on a chip.
Tremendous effects on spectrometers of different kinds – and in various fields
Transport at Nanoscale Interfaces
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Research from Carnegie Mellon’s School of Computer Science suggests prompt engineering could be as important as coding Today’s generative artificial intelligence models can create everything from images to computer applications, but the quality of their output depends largely on the prompt a human user provides. Carnegie Mellon University researchers have proposed a new approach for teaching everyday users how to create these prompts and improving their interactions with generative artificial intelligence models. The method, called Requirement-Oriented Prompt Engineering (ROPE), shifts…
A new quantum random number generator is almost 1000 times faster than other generators and much smaller, promising to change data management and cybersecurity in several industries including health, finance, and defense A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness…
Very secure and highly efficient: encryption and decryption with luminescent perovskites To guarantee high data security, encryption must be unbreakable while the data remains rapidly and easily readable. A novel strategy for optical encryption/decryption of information has now been introduced in the journal Angewandte Chemie by a Chinese research team. It is based on compounds with carefully modulated luminescent properties that change in response to external stimuli. The compounds are hybrid two-dimensional organic-inorganic metal-halide perovskites, whose structure consists of inorganic…
Researchers at the University of Utah’s Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software toolkit that uses Explainable Artificial Intelligence (XAI) to predict whether individuals will develop progressive and chronic diseases years before symptoms appear, potentially transforming how preventive healthcare is delivered. XAI is an artificial intelligence system that can explain complex decisions in ways humans can understand. The new technology represents a significant advancement in disease prediction and prevention…