“A better model for determining essentiality, in the author’s opinion, is a probabilistic model that tries to estimate the likelihood of a portfolio to be infringed, valid and/or essential.” In recent ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

Our new world of sensors, smartphones, and connected devices means more data than ever — but does it also mean that it’s getting easier to make well-informed decisions? Quite the contrary, in fact.

The technical approach described in this publication builds on the use of a single unit probabilistic safety assessment (PSA) and identifies considerations that are needed from the multi-unit ...