These key modifications result in METEOR: a single pre-trained meta-model that can adapt to new problems of interest across geographies and sensors from limited label information. Using METEOR, domain ...

Data sparseness is a major limiting factor for deep machine learning. In the natural sciences, data distributions are heterogeneous. For instance, in chemistry and early-phase drug discovery, compound ...

Alexander Slagg is a freelance writer specializing in technology and education. He is an ongoing contributor to the CDW family of magazines. Experiential learning is having a moment in higher ...