A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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If you have thought about trying to kick a smoking habit, you’re not alone. Nearly 7 of 10 smokers say they want to stop. Quitting smoking is one of the best things you can do for your health — ...

Abstract: With rapid development of enabling technologies such as Internet of Things, robotics, and big data, the fourth industrial revolution known as “Industry 4.0” (I4.0) has become a great ...

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed ...

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...

The developer of a planned data center in Fort Meade says the facility will use a closed-loop cooling system requiring only 50,000 gallons of water daily. An academic expert on industrial cooling ...