Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...

Researchers at the University of South Australia are using machine learning for hyperspectral imaging to detect contamination ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Abstract: One of the important health concern all over the globe is Breast Cancer in women. It is a complex disease that requires a thorough diagnosis before treatment can begin. This research paper ...

Social media usage among teens is more prevalent than ever before. In recent years, researchers have begun investigating how much social media affects teen weight concerns and body image issues. A new ...