French authorities arrested a 22-year-old suspect on Tuesday for a cyberattack that targeted France’s Ministry of the Interior earlier this month. […] Read More
SonicWall has rolled out fixes to address a security flaw in Secure Mobile Access (SMA) 100 series appliances that it said has been actively exploited in the wild. The vulnerability, tracked as CVE-2025-40602 (CVSS score: 6.6), concerns a case of local privilege escalation that arises as a result of insufficient authorization in the appliance management […]
Threat actors are abusing the legitimate device-linking feature to hijack WhatsApp accounts via pairing codes in a campaign dubbed GhostPairing. […] Read More
A new distributed denial-of-service (DDoS) botnet known as Kimwolf has enlisted a massive army of no less than 1.8 million infected devices comprising Android-based TVs, set-top boxes, and tablets, and may be associated with another botnet known as AISURU, according to findings from QiAnXin XLab. “Kimwolf is a botnet compiled using the NDK [Native Development […]
Anthropic proves that LLMs can be fairly resistant to abuse. Most developers are either incapable of building safer tools, or unwilling to invest in doing so. Read More
A Practical Toolkit for Time Series Anomaly Detection, Using PythonTowards Data Science Here’s how to detect point anomalies within each series, and identify anomalous signals across the whole bank
The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science.
Here’s how to detect point anomalies within each series, and identify anomalous signals across the whole bank
The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science. Read More
How to Handle Large Datasets in Python Even If You’re a BeginnerKDnuggets You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you’re a beginner.
You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you’re a beginner. Read More
The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in ExcelTowards Data Science Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions with just a handful of parameters.
The post The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel appeared first on Towards Data Science.
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions with just a handful of parameters.
The post The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel appeared first on Towards Data Science. Read More
How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent CollaborationMarkTechPost In this tutorial, we implement how we build a small but powerful two-agent CrewAI system that collaborates using the Gemini Flash model. We set up our environment, authenticate securely, define specialized agents, and orchestrate tasks that flow from research to structured writing. As we run the crew, we observe how each component works together in
The post How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration appeared first on MarkTechPost.
In this tutorial, we implement how we build a small but powerful two-agent CrewAI system that collaborates using the Gemini Flash model. We set up our environment, authenticate securely, define specialized agents, and orchestrate tasks that flow from research to structured writing. As we run the crew, we observe how each component works together in
The post How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration appeared first on MarkTechPost. Read More
Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First ApproachTowards Data Science LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems
The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science.
LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems
The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science. Read More
