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

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

In providing the ability to discover patterns buried deep within data, machine learning has the potential to make applications more powerful and more responsive to users’ needs. Well-tuned algorithms ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...