Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.

Researchers tested the tool in 397 patients with clinically node-positive, HPV-driven oropharyngeal squamous cell carcinoma ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...

The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern ...

CrowdStrike calls the second release today, Threat AI, the industry’s first agentic threat intelligence system built to ...

Raw invoice images often suffer from issues such as uneven lighting, skewing, creases, and background interference. The system first employs image filtering, binarization, perspective transformation ...