Neuro-formal verification is introduced, which harnesses that automation for developers of mainstream programming languages and returns a Dafny proof of correctness or of a bug on 57% of the entries at 92% precision, and a CBMC counterexample for 63% of the buggy programs at 90% precision.
Abstract
Formal verification offers the strongest assurance available for software, and verification-aware languages have made its automation real. Yet the benefits reach few mainstream developers, most of whose languages have no verification support. Besides, specifying properties and modeling the environment require expertise in formal methods. Proof is therefore reserved for a few celebrated artifacts, while the production code that ships is attested only through review and testing. We introduce neuro-formal verification (NFV), which harnesses that automation for developers of mainstream programming languages: an AI coding agent translates, an established verifier decides, and a question posed in a mainstream language is answered push-button, at empirical accuracy rather than soundness, with a machine-checked proof. Results on a dataset of correct and incorrect solutions to Python programming problems are encouraging: NFV returns a Dafny proof of correctness or of a bug on 57% of the entries at 92% precision, and a CBMC counterexample for 63% of the buggy programs at 90% precision.
The first complete description of SweepLSD is given, a line segment detector that reads the image exactly once and emits each segment within a few rows of its last pixel passing the scan line, with the tightest frame-time distribution and the best per-segment direction accuracy of the four detectors.
An audit-and-placebo protocol is proposed that separates verifier artifacts, interaction scaffolding, and grounded feedback credit in evaluations of self-evolving test generators in evaluations of self-evolving test generators.
Yunhao Liang, Chengguang Gan, Ruixuan Ying et al.· 0 citations
This study examined whether introductory Qiskit homework could remain autogradable while requiring students to run, review, and discuss results rather than banning AI.
This prototype MRG image translocation software was helpful to 69% of patients with binocular diplopia, but limited by large angle strabismus because of the limited instrument field of view.
Edsel B Ing, Kevin Sha, Sarosh Dandoti et al.· Journal of neuro-ophthalmolo...· 0 citations
A diagnostic support system based on a unified web platform that classifies patients according to the risks of developing three diseases based on regularly collected clinical or audio data using classical supervised learning algorithms is presented.
Vedamurthy D R, Dr. Anup Ritti, A. Bibi et al.· International Journal for Re...· 0 citations
A high initial investment in acquiring environmentally friendly products can discourage
institutions from adopting them. This study explored the extent to which eco-friendly products
contribute to supply chain resilience and operational performance at the Nigerian Maritime
University. The study employed a quantitative survey method administering a sample of 303copies
questionnaire to the staff of the organization using a stratified sampling technique. The hypotheses
were tested and analyzed using a regression method with the aid of Minitab software. The
regression analysis indicates eco-friendly products significantly relates to operational efficiency
in Nigerian Maritime University, South-South Nigeria. The model regression indicates (R² = 99.20,
B = 1.039, β = 0.0162, p = 0.000); indicating that the model is a good fit. The coefficient 1.0399
is highly significant (p < 0.001). This indicates a positive and strong effect, explaining that for
every one-unit increase in eco-friendly products, the operational efficiency increases by
approximately 1.039 units. The NOVA result confirms F = 4117.07, p < 0.001. The study
concludes that the adoption of eco-friendly products plays a significant and positive role in
enhancing organizational sustainability performance or resilience. Organizations should embed
eco-friendly product selection into their procurement guidelines to promote sustainable
operations. Management should invest in environmentally friendly technologies and capacity
building initiatives to support the transition to sustainable practices.
Ikenna Christopher Ugwu· IIARD International Journal...· 0 citations
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A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
