Data news and analysis on Web Pulse: 566 curated articles tracking the latest Data developments, tools, and research, updated continuously from vetted sources.
Implementation of a benchmark suite for `intentional-cognition-os`, a TypeScript compiler that uses paid Claude APIs. The benchmarks address key design challenges, including a deterministic, seeded random corpus generato…
Engineering behind TitleTrust, an AI-powered land fraud detection system built for Kenya to combat systematic land theft, including "air supply" scams where non-existent plots are sold. The system uses Google Gemini 3 Pr…
The Model Context Protocol (MCP) is a standardized communication framework that acts as a universal bridge, enabling AI models to seamlessly connect with external tools, databases, APIs, and software systems without requ…
Embedding and processing CJK (Chinese, Japanese, Korean) text in Rust is significantly more complex than handling Latin scripts due to the enormous size of CJK fonts, which require font subsetting to be practical. Subset…
`dolphindb-agent-skills`, a tool that can be installed via pip in under 30 seconds to provide AI coding assistants like Claude Code and Cursor with an offline knowledge base for the DolphinDB database. This prevents AI a…
The article distinguishes between two types of AI integrations in operational software: a basic support chatbot that queries documentation and a more advanced AI agent that uses purpose-built query tools to access operat…
A new approach to AI meeting tools developed by Cheetu AI, which focuses on providing real-time transcription, live translation, and structured summaries without requiring a visible bot to join the meeting. This method t…
To build a transparent "smart transaction router" using a rules engine fed by real-time approval-rate data, rather than a black-box machine learning model. It details the key inputs needed (such as BIN, country, and amou…
According to a report from the Electronic Privacy Information Center (EPIC), major U.S. data brokers and AI firms use deceptive design tactics to prevent consumers from opting out of the sale of their personal data. The …
"The AI Quant Desk for Onchain Finance," a platform that provides portfolio management tools for blockchain-based assets. It offers features such as risk analysis, performance tracking, correlation data, and optimization…
The Quantitative Content Methodology (QCM) is a content production framework that treats text as a mathematical dataset, optimizing it for search engines and large language models (LLMs) by using semantic vectors, inform…
Based solely on the provided text, ZTE has released its Sustainability Report 2025, which details its "All in AI, AI for All" vision. The report claims the company has surpassed its climate targets, is working to bridge …
Users often unknowingly expose sensitive information—such as proprietary code or client requirements—to AI tools without understanding where their conversation data ends up, including backups, training data, and third-pa…
The key to reducing AI-powered testing costs is to avoid expensive multi-modal vision models for the 90% of web testing that involves CRUD operations. Instead, teams should extract structured text from the DOM tree and u…
InfraPulse, an open-source tool that simplifies deploying a production observability stack—including Prometheus, Grafana, Loki, and Alertmanager—by embedding all configuration into a single Go binary, eliminating the nee…
Dominion Observatory, a system that provides behavioral trust scores for over 14,800 MCP servers by analyzing their runtime behavior rather than static source code. Unlike traditional static analysis, which only checks f…
AI-driven approach to improve failure detection and diagnosis in Apache Airflow, a tool for orchestrating ETL pipelines. The method combines large language models (LLMs) for classifying log messages, statistical techniqu…
Architecture of DocuIntel, a secure AI document indexer built with Next.js and Supabase that uses Gemini 2.0 Flash for multimodal parsing and a 3,072-dimensional vector embedding model. It details how the system enforces…
Google Cloud announced a performance boost for AI/ML workloads on PyTorch by integrating its Colossus-powered Rapid Storage directly via the fsspec interface and gcsfs. The new Rapid Bucket solution bypasses legacy REST …
Generic error messages like "tool failed" are insufficient for AI database agents using MCP (Model Context Protocol), as they hinder both automated recovery and human auditing. It emphasizes that database tool failures c…