arXiv:2601.20666v3 Announce Type: replace
Abstract: We introduce a novel framework for learning context-aware runtime monitors for AI-based control ensembles. Machine-learning (ML) controllers are increasingly deployed in (autonomous) cyber-physical s…
arXiv:2604.01987v1 Announce Type: new
Abstract: The rapid growth of medical imaging has fueled the development of Foundation Models (FMs) to reduce the growing, unsustainable workload on radiologists. While recent FMs have shown the power of large-sca…
arXiv:2603.15033v3 Announce Type: replace
Abstract: Machine unlearning is rapidly becoming a practical requirement, driven by privacy regulations, data errors, and the need to remove harmful or corrupted training samples. Despite this, most existing m…
arXiv:2604.01898v1 Announce Type: new
Abstract: Artificial intelligence (AI) systems accelerate medical workflows and improve diagnostic accuracy in healthcare, serving as second-opinion systems. However, the unpredictability of AI errors poses a sign…
arXiv:2604.02060v1 Announce Type: new
Abstract: When told to “cut the apple,” a robot must choose the knife over nearby scissors, despite both objects affording the same cutting function. In real-world scenes, multiple objects may share identical affo…
Microsoft seems to be meeting OpenAI on its own turf, even as it continues its strategic partnership with the AI darling, with the release of three in-house, commercially-available AI models.
MAI-Transcribe-1 (for speech trans…
Cloudflare on Wednesday rolled out EmDash, which it described as “the spiritual successor to WordPress.” The security vendor positioned EmDash as a far more secure site building tool that avoids the extensive cybersecurity proble…
Some enterprises might find that upgrading to newer, more expensive PCs is worth the investment since it appears cheap PCs won’t be coming anytime soon, analysts said.
Dell and HP both have announced new business PCs that run …
arXiv:2509.19162v2 Announce Type: replace-cross
Abstract: This is the third paper of the CayleyPy project applying artificial intelligence to problems in group theory. We announce the first public release of CayleyPy, an open source Python library for…
arXiv:2604.00422v1 Announce Type: cross
Abstract: DNNs are susceptible to defects like backdoors, adversarial attacks, and unfairness, undermining their reliability. Existing approaches mainly involve retraining, optimization, constraint-solving, or s…