Background In an ophthalmology emergency department, determining treatment urgency is crucial for patient safety and the efficient use of resources. The aim of this study was to use artificial ...

Abstract: Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...

Add Yahoo as a preferred source to see more of our stories on Google. Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed ...

U.S. cybersecurity company F5 disclosed that nation-state hackers breached its systems and stole undisclosed BIG-IP security vulnerabilities and source code. The company states that it first became ...

We now not only have the community of nodes represented by red, blue and yellow clusters with conventional community detection, but we also can detect a second type of community represented by the ...

July 21 (Reuters) - Financial software provider SS&C Technologies (SSNC.O), opens new tab said on Monday it will acquire Carlyle's (CG.O), opens new tab British fund network and data business ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...

Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Block AF, Sector-I, Bidhannagar, Kolkata 700064, India ...