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 ...

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...

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

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 ...

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

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

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 ...

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...

Co-curricular committee & Hobby project club in association with ISTE student chapter & Institute Innovation Council of ...

The study , published in the December 2025 issue of Otolaryngology–Head and Neck Surgery, represents the first application of AutoML technology specifically trained to classify pituitary macroadenomas ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...