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

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

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

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

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 ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

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 ...

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

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 ...

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