Current evidence supports AI as a promising but clinically unproven adjunct to AMS, but the literature’s emphasis on algorithmic accuracy over demonstrated clinical effectiveness means AI should not yet be treated as validated stewardship infrastructure.
Bamidele Ilerioluwa Olamide, Olohitai Peace Ovbiagele, Bismark Osei-Bonsu et al.· Journal of Biomedicine and B...· 0 citations
AlignCP is proposed, a framework that reconciles supervised few-shot adaptation with conformal uncertainty estimation under non-exchangeability and learns a reweighted calibration distribution that reduces the score-level discrepancy between the labeled support set and the unlabeled query set.
A multi-agent system in which a CNN cascade handles the easy majority and a VLM is invoked only as a selective arbiter, constrained to a top-3 taxonomy-consistent choice is presented.
Chen-Wei Wang, Hao-Chen Li, Shuk-Ching Tang et al.· 1 citation
QUAKE-CD represents binary change masks as grammar-constrained quadtree token sequences, making the masks compact, syntactically checkable, and deterministically decodable within an autoregressive generation space.
Xiao An, Rui-Kang Zhang, Cheng Zhong et al.· 0 citations
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A serving system that treats the diffusion block as a compilation unit that improves end-to-end execution time by up to 2.7 times over the strongest surviving baseline under the same 8-GPU placement and remains feasible at the largest batch sizes where multiple baselines run out of memory, while preserving task quality...
Jia-Nian Zhu, Hang Wu, Ying-Hui Li et al.· 0 citations
Shake a mixture and the large grains come to the top. This paper asks whether the usual explanation survives the geometry──the answer is that it does not: the gap is too small. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed─...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Large language models are increasingly proposed as automated auditors of document quality, yet their reliability as detectors of planted errors is poorly characterised. We construct a contaminated corpus of 150 academic papers spanning supply chain management and medical research, injecting 450 known contaminants of th...
Karan Parekh, Sanjana Pendyala Ravinder, Sana Mhapsekar et al.· Zenodo (CERN European Organi...· 0 citations
Standard correlation witnesses — spatial Bell/CHSH inequalities, temporal Leggett–Garg K₃, and KCBS contextuality — are known to detect nonstabilizerness ("magic") in some settings. We report a worked example, a k-resolved nonstabilizerness map of the SU(2)_k anyon braid-representation family, in which a standard tempo...
Berkay Yüksel Sayim· Zenodo (CERN European Organi...· 0 citations
Abstract Quantum computations execute on noisy hardware whose effective noise is opaque and varies across platforms and over time. Complete descriptions of the underlying noise channel are often too detailed for reasoning, comparison, or analysis. We therefore study the semantic problem of constructing tractable abstra...
Anonymous for Peer Review· Zenodo (CERN European Organi...· 0 citations
It is tempting to think one cannot run faster because the legs cannot turn over quickly enough. This paper asks which quantity reaches its limit first──the answer is the force applied to the ground. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The brain is said to use 2 per cent of the body’s mass and 20 per cent of its energy. This paper asks where that factor of 10 comes from──the answer is not that the brain is high but that the denominator is low. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
