Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

As machine learning becomes a top of mind business strategy for organizations, developers need to adapt to the changing role. Topics Spotlight: Solving Data Analytics Challenges ...

There will never be an easy “Point A” to “Point B” when it comes to machine learning (ML). Before even tackling this concept, engineers and scientists should understand they will be tweaking ...

Koutsouleris, N., et al. (2020) Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression.JAMA Psychiatry. doi.org ...

Although most people inside organizations are loath to admit it, the primary reason things are done the way they are is because that’s the way they’ve always been done. Codified in some dusty binder ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

Deep learning is a subcategory of machine learning algorithms that use multi-layered neural networks to learn complex relationships between inputs and outputs. The more layers in the neural ...

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes.