Archive of posts tagged: Machine Learning
A Brief Guide of xPU for AI Accelerators
In the workshop on Inter-Disciplinary Research Challenges in Computer Systems (Grand Challenges) co-located with ASPLOS 2018, Dr. Hillery Hunter from IBM and I co-organized a panel discussion on “Augmenting Human Abilities/AI”. During the discussion,...
SIGARCH Visioning Series: Trends in Machine Learning (Videos Available)
We are pleased to announce the creation of the ACM SIGARCH YouTube channel with recorded videos from the first workshop in the Visioning Series, the Workshop on Trends in Machine Learning co-held with ISCA 2017. The Visioning Series was launched this year to catalyze...
A Follow-up to “The Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research”
I am grateful to everyone who responded to my post in April that asked why machine learning has had limited impact on computer systems research. In addition to commenting on this website and sending me email, people discussed this question at length on reddit and...
The Unreasonable Ineffectiveness of Machine Learning in Computer Systems Research
In 1960, the physicist Eugene Wigner wrote a famous essay titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences” in which he explored the question of why mathematics is so remarkably useful in the natural sciences. A contemporary example of...Subscribe
