Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog ...

Citations: Malaviya, Prashant, Brian Sternthal. 2011. The Effect of Fit on Persuasion: Regulatory Focus and Regulatory Mode.

This list does not aim to be exhaustive, as implicit neural representations are a rapidly growing research field with hundreds of papers to date. Instead, it lists the papers that I give my students ...

Federal departments and agencies have highlighted their rulemaking priorities in the (usually) twice yearly Unified Agenda of Federal Regulatory and Deregulatory Actions since the early 1980s.

Regulatory agencies are open to changes within the review process which means the uptake of CAR T-cell therapy will change the landscape itself. This is especially true with large-scale ...

In other words, games that are no longer rendered by a traditional 3D pipeline, but fully rendered by neural networks. The technology could arrive with Blackwell, a new graphics architecture that ...

Welcome to Fierce Pharma's regulatory tracker for the first half of 2025. On this page, we're recording the regulatory progress of in-market products, including expansions into key geographies and ...

The COP is the supreme decision-making body of the Convention. All States that are Parties to the Convention are represented at the COP, at which they review the implementation of the Convention and ...

Abstract: This chapter examines the problem of estimating the generalization error with respect to the MSE loss function. Variance is a measure of how the practical ...