GenAI: Giga$$$, TeraWatt-Hours, and GigaTons of CO2
Teaching the FATE Community about Privacy
Computer-Assisted Proofs Take on Fluid Flow
The Carbon Footprint of Artificial Intelligence
Voice in the Machine: Ethical Considerations for Language-Capable Robots
Improving Computing Education Research through Valuing Design
SI and Binary Prefixes: Clearing the Confusion
For a More Transparent Governance of Open Source
Why You Should Be Able to Make Your Own Individualized, Digital Nano-Currency
AI and Society: Ethics, Trust, and Cooperation
A Computational Inflection for Scientific Discovery
A Tale of Two Markets: Investigating the Ransomware Payments Economy
The Principles of Data-Centric AI
Technical Perspective: Can We Uncover Private Backbone Infrastructures?
In "A Manifold View of Connectivity in the Private Backbone Networks of Hyperscalers," Salamatian et al. assemble techniques from the two broad strategies developed by the networking community and complement them with new ones using concepts from Riemannian geometry.
A Manifold View of Connectivity in the Private Backbone Networks of Hyperscalers
We present a new empirical approach for elucidating connectivity in privately owned and operated backbone networks.
Technical Perspective: Pandemics, Remote Work, and Accessibility
"Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship," by Kelly Mack et al., provides guidance on how to make remote work and meetings work better for everyone.
Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
Interns, full-time members, and affiliates of a Microsoft Research team focused on accessibility report on the experiences of virtual interns in 2020 navigating the challenges of working remotely.
L-Space and Large Language Models
