New Version of MVTec HALCON Focuses on Speed and Performance of AI and Rule-Based Methods • New version HALCON 26.05 to be released on May 20, 2026 • HALCON 26.05 offers significant speed improvements for AI and rule-based methods • A new preview version of the IDE HDevelopEVO is also available as part of the

Everyone is talking about it, but what do you understand about AI and its impacts, whether real or potential? We've curated some resources to help. Depending on where you sit on the scale, providing you have given it some thought, Artificial Intelligence (AI) is the best thing since sliced bread to happen to the workplace

This Article From Issue May-June 2026 Volume 114, Number 3 The rapid pace at which generative artificial intelligence (AI) has been incorporated into everyday life has left a lot of room for malicious uses of the software. It has also raised deep questions about how AI models actually work, given the limitations and biases inherent

Article Highlight | 14-Apr-2026 Novel tool combines generative machine learning model with supervised and self-supervised learning Southwest Research Institute image:  SwRI scientists integrated three types of machine learning models to generate images of solar magnetic patches with physically realistic properties and used those as a query to find matching patches in real observations. These artificial

(“Valo”), a pioneer in the use of human data and AI to accelerate drug ... machine learning and advanced analytics across biopharma R&D.

Data availability The WSIs, nephrographic CT scans, and annotation data used for both the training and validation sets are subject to institutional restrictions. Due to patient privacy obligations and Institutional Review Board (IRB) approvals, these data are not publicly available. However, they can be accessed upon reasonable request from the corresponding author, pending approval from

References Awuchi, C. G. HACCP, quality, and food safety management in food and agricultural systems. Cogent Food Agric. 9 (1), 2176280. https://doi.org/10.1080/23311932.2023.2176280 (2023). Google Scholar  Rashid, J., Khan, I., Ali, G., Rehman, S. U. & Alturise, F. Real-time multiple guava leaf disease detection from a single leaf using hybrid deep learning technique. Comput. Mater. Contin.

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing demand for smaller, faster, and more powerful chips. As the speed of innovation continues to advance, so does the pressure on semiconductor manufacturers to detect and address defects and inconsistencies with near-perfect accuracy to