A new phishing kit called Spiderman is being used to target customers of dozens of European banks and cryptocurrency holders with pixel-perfect cloned sites impersonating brands and organizations. […] Read More
A new AMOS infostealer campaign is abusing Google search ads to lure users into Grok and ChatGPT conversations that appear to offer “helpful” instructions but ultimately lead to installing the AMOS info-stealing malware on macOS. […] Read More
Implement automated smoke testing using Amazon Nova Act headless modeArtificial Intelligence This post shows how to implement automated smoke testing using Amazon Nova Act headless mode in CI/CD pipelines. We use SauceDemo, a sample ecommerce application, as our target for demonstration. We demonstrate setting up Amazon Nova Act for headless browser automation in CI/CD environments and creating smoke tests that validate key user workflows. We then show how to implement parallel execution to maximize testing efficiency, configure GitLab CI/CD for automatic test execution on every deployment, and apply best practices for maintainable and scalable test automation.
This post shows how to implement automated smoke testing using Amazon Nova Act headless mode in CI/CD pipelines. We use SauceDemo, a sample ecommerce application, as our target for demonstration. We demonstrate setting up Amazon Nova Act for headless browser automation in CI/CD environments and creating smoke tests that validate key user workflows. We then show how to implement parallel execution to maximize testing efficiency, configure GitLab CI/CD for automatic test execution on every deployment, and apply best practices for maintainable and scalable test automation. Read More
The Machine Learning “Advent Calendar” Day 10: DBSCAN in ExcelTowards Data Science DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point.
It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel.
But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data.
The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science.
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point.
It finds clusters and marks anomalies without any probabilistic model, and it works beautifully in Excel.
But because it relies on one fixed radius, HDBSCAN is needed to make the method robust on real data.
The post The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel appeared first on Towards Data Science. Read More
How to Maximize Agentic Memory for Continual LearningTowards Data Science Learn how to become an effective engineer with continual learning LLMs
The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.
Learn how to become an effective engineer with continual learning LLMs
The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science. Read More
Finding Meaningful Work in the Age of Vibe CodingKDnuggets Vibe coding has devalued coding. Is there any meaningful work still left for us?
Vibe coding has devalued coding. Is there any meaningful work still left for us? Read More
Don’t Build an ML Portfolio Without These ProjectsTowards Data Science What recruiters are looking for in machine learning portfolios
The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science.
What recruiters are looking for in machine learning portfolios
The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science. Read More
5 Free Tools to Experiment with LLMs in Your BrowserKDnuggets Discover five free tools that let you run and test large language models directly in your browser without any setup.
Discover five free tools that let you run and test large language models directly in your browser without any setup. Read More
Perplexity: AI agents are taking over complex enterprise tasksAI News New adoption data from Perplexity reveals how AI agents are driving workflow efficiency gains by taking over complex enterprise tasks. For the past year, the technology sector has operated under the assumption that the next evolution of generative AI would advance beyond conversation into action. While Large Language Models (LLMs) serve as a reasoning engine,
The post Perplexity: AI agents are taking over complex enterprise tasks appeared first on AI News.
New adoption data from Perplexity reveals how AI agents are driving workflow efficiency gains by taking over complex enterprise tasks. For the past year, the technology sector has operated under the assumption that the next evolution of generative AI would advance beyond conversation into action. While Large Language Models (LLMs) serve as a reasoning engine,
The post Perplexity: AI agents are taking over complex enterprise tasks appeared first on AI News. Read More
Three security vulnerabilities have been disclosed in the Peripheral Component Interconnect Express (PCIe) Integrity and Data Encryption (IDE) protocol specification that could expose a local attacker to serious risks. The flaws impact PCIe Base Specification Revision 5.0 and onwards in the protocol mechanism introduced by the IDE Engineering Change Notice (ECN), according to the PCI […]
