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

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

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using preoperative MRI ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

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 ...

Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...

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 ...

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...