Archive of posts tagged: Machine Learning
TinyML: Why the Future of Machine Learning is Tiny and Bright
At the dawn of the 21st century, Mark Weiser envisioned a world where computers would weave themselves into the fabric of everyday life, becoming indistinguishable from it. This prophecy of ubiquitous computing has not only materialized but has evolved beyond...
AI Software Should be More Like Plain Old Software
A Tale of Two Softwares: In a world where AI is revolutionizing the way we interact with technology, a new type of software emerges: AI Software (AISW). But with great power comes great responsibility, and the systems research community must rise to the challenge of ensuring AISW is as robust, secure, and safe as its predecessor, Plain Old Software (POSW).
Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems
Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
Think Twice Before… Using Machine Learning to Manage Cloud Resources
How many times have you tried setting up a virtual machine, container pods or serveless functions in the cloud and wondered how many resources (cores, memory etc.) to configure? In practice, users request more resources than actually end up using. This is a known...Subscribe
