HammingMesh: A Network Topology for Large-Scale Deep Learning
HammingMesh is optimized specifically for ML workloads and their communication patterns.
Cybersecurity vendors are using AI-enabled products to keep a leg up on hackers and “threat actors” who have also added AI to their arsenals.
A Camera the Size of a Grain of Salt Could Change Imaging as We Know It
Innovative methods and materials led to a tiny meta-optics camera able to produce full-color images equal in quality to those produced by conventional cameras.
Notice and Choice Cannot Stand Alone
If bolstered by appropriate laws, standards, and easy-to-use interfaces, the notice and choice concept could be a useful tool in our future privacy toolbox.
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Reevaluating Google’s Reinforcement Learning for IC Macro Placement
Crosschecked data indicates that the integrity of a 2021 paper in Nature by Mirhoseini et al. is substantially undermined, owing to errors in conduct, analysis, and reporting.
The Paradigm Shifts in Artificial Intelligence
To understand the state of the art of AI and where it is heading, it is important to track its scientific history.
Between the two extreme visions of AI as a servant and AI as a sentient fighter-lover, resides an important and practical alternative: AI as a provocateur.
Detecting/Explaining Industrial Hacks
XAI provides clear descriptions of Industrial Control System anomalies in accessible terms.
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By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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