Elon Musk announced that X’s algorithm will be fully AI-powered by November, aiming for personalised user experience. The ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
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Data modeling and lab experiments could lead to energy-efficient paper manufacturing
Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...
Google’s State of AI-assisted Software Development Report 2025 reveals AI adoption increased, but trust in AI is still uneven ...
This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined ...
The ALBORADA Drug Discovery Institute, University of Cambridge, Cambridge, United Kingdom ...
The RGB model, which combines red (analytical performance), green (environmental impact), and blue (practicality), is at the heart of the concept of white analytical chemistry (WAC). While this ...
The main goal of current ventilatory strategies in acute respiratory failure is to keep spontaneous breathing whenever ...
As one of the important research methods for nanomaterial analysis, transmission electron microscopy (TEM) uses high-energy ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Small Medium Enterprise, Tangible Resources, Product Innovation Performance, Innovation, SME’s Age Share and Cite: Bakar, L. (2025) The Age-Resource Dynamic and Product Innovation Performance. Open ...
Apple’s M4 series MacBook Pro was released in the fall of 2024, a year after the M3 series was released. That could mean Apple is on a yearly cycle with the MacBook Pro and the next generation could ...
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