AI News
Strengthening enterprise governance for rising edge AI workloads
Models like Google Gemma 4 are increasing enterprise AI governance challenges for CISOs as they scramble to secure edge workloads.Security...
An Implementation Guide to Building a DuckDB-Python Analytics Pipeline with SQL, DataFrames, Parquet, UDFs, and Performance Profiling
In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on...
Five signs data drift is already undermining your security models
Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering...
Why companies like Apple are building AI agents with limits
Next-generation AI assistants being developed in the Apple ecosystem and by chipmakers like Qualcomm, but early reports suggest they are...
AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops.
Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft's Vasu Jakkal told attendees that zero trust...
How robust AI governance protects enterprise margins
To protect enterprise margins, business leaders must invest in robust AI governance to securely manage AI infrastructure.When evaluating enterprise software...
Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
Modern AI is no longer powered by a single type of processor—it runs on a diverse ecosystem of specialized compute...
OpenAI introduces ChatGPT Pro $100 tier with 5X usage limits for Codex compared to Plus
OpenAI is making moves to try and court more developers and vibe coders (those who build software using AI models...
Anthropic keeps new AI model private after it finds thousands of external vulnerabilities
Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web...
A Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export
print("\n📊 MODEL EVALUATION\n") eval_results = trainer.evaluate() print(" Evaluation Results:") for key, value in eval_results.items(): if isinstance(value, float): print(f" {key:<25}: {value:.4f}")...
LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it
For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when...
Asylon and Thrive Logic bring physical AI to enterprise perimeter security
Exciting times are ahead in the world of enterprise perimeter security with a new partnership between Thrive Logic, an AI...
Meta AI Releases EUPE: A Compact Vision Encoder Family Under 100M Parameters That Rivals Specialist Models Across Image Understanding, Dense Prediction, and VLM Tasks
Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision...
How MassMutual and Mass General Brigham turned AI pilot sprawl into production results
Enterprise AI programs rarely fail because of bad ideas. More often, they get stuck in ungoverned pilot mode and never...
As AI agents take on more tasks, governance becomes a priority
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan...
