Microsoft demonstrated ConferencePulse, a live conference assistant built entirely with its new composable .NET AI stack, solving the fragmented tooling problem for AI features like live polls, RAG Q&A, and multi-agent session summaries.
Replace PySpark pipelines with YAML, dlt, dbt, and Trino. Analysts build pipelines using four config files, cutting delivery time from weeks to one day. Step-by-step guide with code examples.
A practical tutorial using simulation-backed decision rules to choose between Ridge, Lasso, and ElasticNet based on sample-feature ratio, SNR, and correlation.
Meta's AI agent swarm mapped tribal knowledge in massive codebase, cutting agent errors 40%.
AI transforms chaos engineering by shifting from blast-radius control to intent-driven failure testing, enabling smarter, more efficient resilience validation.
Learn how to validate monotonicity and stability of variables in scoring models using Python, including PSI calculations and monotonicity tests with code examples.
A 2021 rotation-based vector quantization algorithm outperforms its 2026 successor due to a single learned scale parameter, highlighting that adaptability trumps automation in compression.
Learn how to choose between Ridge, Lasso, and ElasticNet regularization based on three easily computed quantities, with insights from over 134,000 simulations.
Infrasound, an ultra-low-frequency vibration below hearing, can cause irritability, disengagement, and cortisol spikes, potentially explaining eerie feelings in old buildings.
Explore how .NET's composable AI stack powers ConferencePulse, a live conference assistant with polls, Q&A, insights, and summaries.
Build a 3ms PyTorch hook to catch NaNs at the exact layer using forward and backward hooks. Step-by-step guide with code, tips, and optimization.
Learn how to combine AI with chaos engineering in production. Step-by-step guide covers defining intent, blast-radius control, AI experiment generation, safe execution, and iterative analysis.
Learn how a 2021 rotation-based vector quantization algorithm outperforms its 2026 successor due to a single scale parameter, with a step-by-step guide to tuning and deployment.
A step-by-step guide using three pre-fit metrics (sparsity, correlation, SNR) to choose between Ridge, Lasso, and ElasticNet, backed by 134,400 simulations. Includes materials, detailed steps, and tips.
Apple's Mac mini price jumped to $799 due to AI developer demand. This guide explains why and offers steps to adapt: assess needs, explore alternatives, optimize budget, and monitor supply.
Apple's Mac mini base price rises from $599 to $799 due to AI developer demand. Supply constrained for months. The budget desktop era ends as M4 models prioritize pro users.
Meta built a swarm of 50+ AI agents to map tribal knowledge across a 4,100-file data pipeline, achieving 100% code coverage and 40% fewer tool calls per task through a self-maintaining, model-agnostic context layer.
Meta built a pre-compute engine using 50+ AI agents to map tribal knowledge across 4,100+ files, achieving 100% code module coverage and 40% fewer tool calls per task.
A hidden 'decision layer' in AI systems, often undesignated, causes silent production failures. Experts call for explicit design to avoid unpredictable behavior.
Meta used 50+ specialized AI agents to extract tribal knowledge from 4,100+ files across 4 repos, creating 59 context files that boosted AI agent efficiency by 40%.