The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...
In the Kuldeep Singh Sengar matter, the Delhi High Court was dealing with an application for suspension of sentence pending ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.
Anna Attkisson is a full-time Senior Editorial Director for Investopedia, overseeing content strategy and operations. Anna has spent 20 years crafting content around highly complex topics and ...
Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.
Abstract: The saturated non-singular terminal switching function (SNTSF) for sliding mode control with speed error limitation and finite-time error convergence is ...
Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback