In histopathology, where tissues are studied under the microscope to understand and diagnose diseases, stains represent a ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

The group has now published an updated image (above) depicting the M87 black hole in greater detail. PRIMO is based on dictionary learning, a field of machine learning that generates rules based ...

However, the use of AI and machine learning in medicine has expanded beyond the reading of medical images. AI and machine-learning programs have entered medicine in many ways, including, but not ...

A thermal imaging system that uses machine learning to disentangle the information contained in infrared images has been unveiled by researchers at Purdue University in the US. Dubbed HADAR, the ...

The data were acquired at low-dose (372 electrons/pixel). The reconstructed image is now practically noise free and the true position of the atoms can be determined with enhanced precision. (Courtesy: ...

The iconic image of a supermassive black hole in the Messier 87 (M87) galaxy—described by astronomers as a "fuzzy orange donut"—was a stunning testament to the capabilities of the Event ...

Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and 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 ...

A machine learning algorithm has sharpened the first-ever image of a black hole, the supermassive monster at the heart of the galaxy Messier 87, to its maximum fidelity.

Amazon has been testing a machine learning software in space that can analyze Earth observation images on its own and send only the best ones to Earth.