Expert tips for reporting on the impact of the resource-hungry data storage facilities that power AI — from water exploitation to greenwashing to flouting environmental regulations.

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

Opentrons' new simulation tool lets researchers visually inspect and step through AI-generated robotic protocols before ...

The phase of cortical activity, measured in the gray matter, is organized at multiple spatial scales, with the largest scales explaining most variance in phase at a given temporal frequency.

Data centers, the warehouses of processors providing the computing power for “artificial intelligence” (AI) models, have become an increasingly controversial topic in the arid Southwest. Developers ...

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...

Blockchain technology holds transformative potential for Material Genome Engineering (MGE) by offering a decentralized, secure, and transparent framework for data sharing. Immutable ledgers provide ...

Know what message you’re trying to communicate before you get down in the weeds. by Scott Berinato Not long ago, the ability to create smart data visualizations, or dataviz, was a nice-to-have skill.

Panel members at the University of Scranton are discussing the environmental impacts of artificial intelligence and data centers. Community members gathered at "The High Cost of AI" program in the ...