The US Court of Appeals for the Federal Circuit affirmed a district court’s ruling that patents applying established machine learning methods to new data are not patent eligible under 35 U.S.C ...

Unlike traditional programming, which operates on a set of specific rules and logic, AI systems are dynamic. They sort through data, dividing it into training, validation, and test sets, and ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Is Traditional Machine Learning The Answer? Amid this GenAI fervor, some organizations may be tempted to deploy the latest LLM technology for problems that don’t require such a sophisticated ...

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.

GraphCast utilizes what researchers call a "graph neural network" machine-learning architecture, trained on over four decades of ECMWF's historical weather data. It processes the current and six ...