As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

The eight-month program combines deep technical training with applied learning on sustainable AI practices. Participants are trained not only to build advanced models but also to consider the resource ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

Lawrence Livermore National Laboratories Director Dr. Kim Budil speaks during a news conference with fellow administrators and scientists at the Department of Energy headquarters to announce a ...

A research team has developed a causal deep learning model to personalize corticosteroid therapy for intensive care unit ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

Existing frameworks like the U.S. Environmental Protection Agency’s Energy Star Portfolio Manager provide useful performance ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

The first school in the region to partner with Luma, Citizens School embeds design thinking into learning, earns COBIS ...

One of the most robust backward design models developed for higher education is L. Dee Fink’s integrated course design. Fink outlines a streamlined process for designing academic courses, divided into ...