In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...

Yet a general framework to design and analyze loss functions is lacking for many common machine-learning tasks. Meanwhile in economics, an efficient information economy is crucial to facilitate the ...

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both.

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...