Abstract: Medical image segmentation is challenging because the boundaries of lesions are often hazy or unclear. As a result, how to better distinguish the lesion boundaries to improve segmentation ...
No GPU is completely immune to issues, and even the best graphics cards may sometimes be hit by problems. If you use a desktop PC or laptop for long enough, chances are you’re going to come across one ...
So you’ve connected a device to your PC via a USB port — but Windows doesn’t recognize it. What now? Before you assume the product (or your PC port) is broken, there are several USB troubleshooting ...
Plenty of aid and uncollected food is rotting on the Gazan side of the border because the UN is unwilling to deliver it. Humanitarian aid waiting to be picked up on the Palestinian side of the Kerem ...
While some of these indices are much more attractive in terms of yield than they were over most of the past decade, none of these yields are especially attractive to those who need income. After all, ...
The nation relies on cyber systems for commerce, critical infrastructure, national security, and most facets of daily life. However, the growing scale and complexity of cyber technologies–coupled with ...
How Steve, a French cartoon with a catchy theme song, became a TikTok star. By Madison Malone Kircher If you have not yet heard the French song about an orange fish named Steve that is currently ...
It is hypothesized that the probability of detecting a signal in a vigilance task depends upon its temporal location with respect to the preceding series of signals. Probability of detection should be ...
Abstract: Single-photon detectors are essential for implementing optical quantum technologies, such as quantum key distribution, and for enhancing optical imaging systems such as lidar, while also ...
If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...
The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...
Artificial intelligence has witnessed a remarkable surge, captivating researchers, product teams, and end users alike with its transformative potential. But despite its recent popularity, AI is only ...