When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Quantum Computing’s Potential to Reshape AI Quantum computing, still in its infancy, promises to revolutionize computational ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

How machine learning algorithms make inferences Each model has a certain number of parameters. A parameter is an element of a model that can be changed.

Model development and training data were obtained from the Simons Foundation Powering Autism Research for Knowledge (SPARK) study (version 8 – June 2022), comprising 30,660 participants from 26 ...

Simply Training Machine Learning Models is Insufficient to overcome Patent Eligibility A key fact in the case was Recentive’s own concession: the machine learning models employed were conventional.