AI News
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Cursor 2.0 Introduces Composer for Enhanced AI-Driven Code Development
Cursor 2.0 introduces Composer, an AI model enabling natural language-driven code editing, with improved speed, context-awareness, and multi-agent collaboration for software development.
European Authorities Dismantle €600 Million Crypto Fraud Network in Global Sweep
European law enforcement agencies dismantle a €600 million cryptocurrency fraud network through a coordinated international operation, highlighting the growing threat of crypto-related crimes and the need for cross-border collaboration.
IBM Introduces Serverless GPU Support for Enterprise AI and Simulation Workloads
IBM extends its serverless cloud capabilities to GPU workloads, offering enterprises a scalable, cost-efficient solution for AI training, simulations, and generative tasks without infrastructure management overhead.
Critical Security Flaws in Microsoft Teams Enable Impersonation and Undetected Message Manipulation
Four Microsoft Teams vulnerabilities allowed attackers to impersonate colleagues, edit messages without detection, and manipulate notifications, exposing users to social engineering and phishing risks.
Using ML.NET and .NET to Predict Titanic Survivors: A Deep Dive into Machine Learning with C#
Simon Painter's NDC Copenhagen 2025 talk demonstrates how to build a Titanic survivor predictor using ML.NET and .NET, proving that powerful machine learning can be achieved without Python.
The Core Banking Crisis: Legacy Systems vs. Modern Financial Demands
This article explores why modern banking infrastructure struggles with performance, correctness, and regulatory demands, and outlines a path to building a high-throughput financial ledger system.
U.S. Prosecutors Indict Cybersecurity Insiders for BlackCat Ransomware Attacks
Federal prosecutors in the U.S. have indicted three cybersecurity professionals for orchestrating BlackCat ransomware attacks on five companies between May and November 2023, highlighting the risks of insider threats in the cybersecurity sector.
Video Invisible Watermarking at Scale: Meta's Approach to Content Provenance
Meta's scalable invisible watermarking solution addresses content provenance challenges, leveraging CPU-based optimizations for operational efficiency and robust detection of AI-generated media.
How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra?
This article explains how to use Meta's Hydra framework to create scalable and reproducible ML experiments through structured configurations, overrides, and multirun simulations.