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 ...

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

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 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 ...

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 ...

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

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 ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...