The traditional "identity first" approach is struggling because it treats access as a binary state—either you’re in or you’re ...
If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask ...
As AI scaling laws hit the data plateau, executives face a stark choice: hit the scaling wall or remain an innovator. This ...
Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...
Abstract: This paper investigates the application of the sampled-data modeling method for multiphase constant-on-time (COT) control with ramp compensation. Previous sampled-data models have only ...
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