Efficiency Is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Systems thinking provides a way to move beyond a focus on efficiency and cultivate a nuanced view of the environmental impact of ML and ways to reduce it.
Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization
Architectural innovation can make substantial contributions to the economics and efficiency of sustaining Moore’s Law’s cadence of improvements for AI chips.
The Emerging Face of Digital Dentistry
Digital technologies could expand treatments and the availability of dental services to undeserved communities.
A consensus is emerging that copyright laws should include human creation requirements.
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Defying Moore: Envisioning the Economics of a Semiconductor Revolution through 12nm Specialization
Architectural innovation can make substantial contributions to the economics and efficiency of sustaining Moore’s Law’s cadence of improvements for AI chips.
Sutton and Barto developed reinforcement learning, a machine learning method that trains neural networks by offering them rewards in the form of numerical values.
Revolutionizing Datacenter Networks via Reconfigurable Topologies
An overview of reconfigurable datacenter networks and their technological enablers.
The Emerging Face of Digital Dentistry
Digital technologies could expand treatments and the availability of dental services to undeserved communities.
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