Quality follows upgrading
Ever a pioneer, ever a student — learning through our mistakes and failures
Academic
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective …
Pre-training large transformer models with in-domain data improves domain adaptation and helps gain performance on the domain-specific downstream tasks. However, sharing models pre-trained on potentially …
Abstract How do we assess the positive and negative impacts of research about- or research that employs artificial intelligence (AI), and how adequate are existing …
Abstract This research explores AI-generated originality's impact on copyright regulations. It meticulously examines legal frameworks such as the Berne Convention, EU Copyright Law, and national …
This article examines the impact of artificial intelligence (AI) on copyright and related rights in the context of today’s digital environment. The growing role of …
Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation …
Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of …