A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Idiopathic pulmonary fibrosis remains a hard-to-treat lung disease with limited effective drugs. A recent study in Engineering used machine learning ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...

Abstract: Supervised machine learning and deep learning methods perform well in hyperspectral image classification. However, hyperspectral images have few labeled samples, which make them difficult to ...

Privacy, security and robustness are not free features. New research shows they can multiply AI training costs and reduce ...

Abstract: Millimeter-wave (MMW) radar sensors are considered key components of autonomous vehicles. Because of the performance degeneration of cameras and lidars under inclement weather conditions, ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler ...

NYSE Composite technology discussions increasingly include quantum computing, where penny stock companies attract attention ...

Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...