Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...
FAYETTEVILLE, GA, UNITED STATES, February 7, 2026 /EINPresswire.com/ -- Microwave frequency combs offer a powerful ...
Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
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World’s first exascale supercomputer speeds plant science with new AI method
Scientists at the U.S. Department of Energy’s Oak Ridge National Laboratory have designed a ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
SHENZHEN CITY, GUANGDONG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- Urban landscapes worldwide are ...
The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...
A research team led by Prof. Fang Yonghua from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences ...
Gas giants are massive worlds made mostly of hydrogen and helium. They lack solid surfaces, and in our solar system, Jupiter ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
A new book by Shelley Puhak dismantles the legend of Hungary’s infamous “blood countess,” separating fact from myth.
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