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

One cubic millimetre doesn’t sound like much. But in the human brain, that volume of tissue contains some 50,000 neural ‘wires’ connected by 134 million synapses. Jeff Lichtman wanted to trace them ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier this year we ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Researchers have developed a novel computational imaging system that integrates optical compression and deep learning to achieve high-speed video capture using only 5% of the data required by ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

In a recent study published in Scientific Reports, a group of researchers enhanced the accuracy of mortality predictions in emergency departments (EDs) by employing advanced data-synthesis techniques ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.

Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...