Abstract: This paper presents FUNDED (Flow-sensitive vUl-Nerability coDE Detection), a novel learning framework for building vulnerability detection models. Funded leverages the advances in graph ...

In Decoupling Dollar and Treasury Privilege (NBER Working Paper 35000), Wenxin Du, Ritt Keerati, and Jesse Schreger document a pronounced divergence between the convenience yields on the US dollar and ...

Abstract: The detection of program vulnerabilities remains a challenging task in software security. The existing vulnerability detection methods rarely consider the multidimensional feature space ...

Many Americans use social media to connect with one another, engage with news content, share information and entertain themselves. Explore the patterns and trends shaping the social media landscape.

The iOS app, iCrucible, uses the CGNN technology to discover new compounds. This repository contains the original implementation of the CGNN architectures described in the paper "Crystal Graph Neural ...

SAN FRANCISCO, July 9, 2025 – The Graph, the open, universal data layer for web3, announced today a strategic integration with the TRON blockchain network. This integration leverages Substreams, a ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...

Doctors are using the technology for activities such as suggesting diagnoses and writing letters, according to BMA A fifth of GPs are using artificial intelligence (AI) tools such as ChatGPT to help ...

Steven Lisberger's 1982 sci-fi film "Tron" was a special effects bonanza that was disqualified for the Best Visual Effects Oscar the year it came out, as the Academy felt that employing computers to ...

Online learning systems 1 and intelligent tutoring systems 2 have progressed significantly in recent years. Higher educational institutions started incorporating online learning systems into courses.

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Our work on Orca and Orca 2 demonstrated the power of improved training signals and methods to enhance the reasoning abilities of smaller language models, getting closer to the levels found in much ...