Abstract: Convolutional neural networks (CNN) has been widely used in the research of multispectral image compression, but they still face the challenge of extracting spectral feature effectively ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

A research team led by Prof. Wang Zhenyou at the Aerospace Information Research Institute of the Chinese Academy of Sciences ...

Southwest Research Institute has upgraded its nuclear magnetic resonance (NMR) laboratory to offer robust chemical analysis ...

MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

Forests hide critical ecological information beneath dense canopy layers, where traditional imaging techniques struggle to access.

The company has completed approximately 8,220 m of drilling to date of the 9,000 to 10,000 metres ( “m” ) of exploration drilling planned under the 2025 Fall Drill Program. Assays and geochemistry are ...

From robots being trained to handle entire surgeries to ones that can simulate a 9-month pregnancy to grow an embryo, in 2026 ...

Scientists at the Carney Institute for Brain Science have discovered specific patterns of electrical signals in the brain that may help forecast whether a person will go on to develop Alzheimer’s ...

While most planets that we are familiar with stick relatively close to their host star in a predictable orbit, some planets ...