Overview: Data Science is broader and focuses on extracting insights, whereas machine learning is a subset that focuses on ...

Overview: Data Science focuses on extracting insights from data, while AI builds systems that mimic human intelligence.AI ...

Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...

High accuracy rates for detecting atrial fibrillation, atrial flutter and sinus rhythm in both groups (94.5% HeartBeam vs. 95.5% standard 12-lead ECG).

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for the diversity and unknowns of industrial defects. On the technical ...

A lot of people are amazed by what artificial intelligence can do. It reads scans. It filters resumes. It makes predictions about who might get sick next month. But the more it does, the more people ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

The African Youth possess immense creativity and inventiveness but usually struggle to find expression at the highest levels ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.