The Data Reduction for Science program seeks applications to explore potentially high-impact approaches in the development and use of data reduction techniques and algorithms to facilitate more ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...

Marketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy. Decluttering fever is sweeping the country thanks to Marie Kondo. But clutter ...

A slew of innovations in data management tooling, data infrastructure and artificial intelligence dotted the landscape at AWS re:Invent 2024. Siemens Digital Industries Software, in particular, has ...

In the realm of data analysis and machine learning, the abundance of information often comes hand in hand with the curse of high dimensionality. As datasets grow larger and more complex, the challenge ...

My friends, please believe this: the day has come for real dynamic power reduction! Over the past 15 years, EDA vendors have had some fairly old functionality for dynamic power reduction. Granted, ...

Recognizing the public health emergency posed by opioid overdoses, there increasingly have been calls for a comprehensive approach to drug policy that includes a focuses on reducing harm for people ...

As much as Chief Information Officers (CIO) and Chief Data Officers (CDO) would like to be perceived as revenue generators and growth enablers within their organizations, the reality is that they ...