Memristor-based chips could solve demanding optimization problems far faster and with less energy by replacing dense ...

This type of problem – known as a combinatorial optimization problem – lies at the heart of many challenges in science, technology, and business. A new German-Taiwanese research project involving TU ...

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

Traditional software engineering approaches reliability as a binary state of uptime and downtime. Modern ML pipelines render this paradigm obsolete. Today, architects must deploy robust fault-tolerant ...

By Qu Liu. The Miner School of Computer and Information Sciences is proud to announce a Dissertation Proposal by Qu Liu titled "Efficient and Adaptive Online Learning M ...

Learn how to improve NGS library preparation, reduce bias, and increase sequencing yield with practical strategies for ...

Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...

To participate, submit your response here by July 31 at 9 a.m. Eastern. This week’s winners will be announced by Aug. 12. By The Learning Network A new collection of some of our favorite “What’s Going ...

Abstract: Accurate graph similarity is critical for knowledge transfer in VLSI design, enabling the reuse of prior solutions to reduce engineering effort and turnaround time. We propose Pieceformer, a ...

This is a repository for the paper "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", accepted by ACM CCS 2025. This is a cleaned ...

Black Forest Labs (BFL) has released FLUX 3, a multimodal foundation model that learns from images, videos and audio inside a single architecture. It ...

Machine learning (ML) models trained on personal data have been shown to leak information about users. Differential privacy (DP) enables model training with a guaranteed bound on this leakage. Each ...