Experts want proof that Google’s AlphaChip is equal to, let alone better than, available chip design methods.
Pitfalls in Machine Learning for Computer Security
Generic pitfalls related to machine learning affect all security domains and can affect the entire machine learning workflow, weakening assumptions, conclusions, and lessons learned.
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.
Human-Centered Cybersecurity Revisited: From Enemies to Partners
It is time to reconsider how we deal with the human factor in cybersecurity.
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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.
Experts want proof that Google’s AlphaChip is equal to, let alone better than, available chip design methods.
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