When you launch a new product, your vision for its use might differ from how customers actually use it. Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as ...
Scientists show that nanoscale selenium can reduce fertilizer use by 30%, improve rice nutrition, and lower greenhouse gases. (Nanowerk News) The cultivation of rice—the staple grain for more than 3.5 ...
Learn advanced English! Ditch 'for example' and explore native-sounding alternatives to boost your vocabulary and fluency. Enhance your communication today! GOP lawmakers join Democrats to stop map ...
One of the main reasons Nano Banana has become so popular is its ability to generate image variations while maintaining consistency in elements that you wish to keep unchanged. For example, I asked it ...
A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...
Since October 2024, Microsoft Defender Experts (DEX) has observed and helped multiple customers address campaigns leveraging Node.js to deliver malware and other payloads that ultimately lead to ...
Aliasger K. Salem receives funding from the National Institutes of Health. He serves on the Executive Board of the American Association for Pharmaceutical Scientists. Selenium is a nutrient that plays ...
Browser test automation frameworks play a key role in web application tests. These frameworks need to be user-friendly, feature rich and reliable. But how can we do that? This presentation focuses on ...
Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...