OpenAI pits AI agents against each other to detect smart contract flaws

OpenAI, along with Paradigm and Ottersec, has released the EVMbench research paper, looking at how well different AI models ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Rand Fishkin proved AI recommendations are inconsistent – here’s why and how to fix it

AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
Hoodline

AI Agent Attack on Matplotlib Maintainer Rattles Silicon Valley

According to GitHub, the PR was marked as a first-time contribution and closed by a Matplotlib maintainer within hours, as ...

From power grids to epidemics: Study shows how small patterns trigger systemic failures

Why do some systems collapse suddenly after what seems like a minor disturbance? A single transmission line failure can cascade into widespread blackouts. A delayed shipment can ripple through a ...

Digital forestry team combines AI with satellite data to monitor urban trees

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Ecommerce Fastlane

How to Test Your Store’s AI Agent Readiness: Complete Testing Checklist

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...