Senior AI Research Analyst & Foundation Models Editor
Eva Marchand is a senior technology journalist and AI systems analyst who has reported on machine learning, high-performance compute, and distributed infrastructure for over twelve years. With an academic background in cognitive science and distributed data systems, Eva previously served as an enterprise infrastructure analyst covering hyperscaler compute architectures, GPU cluster economics, and open-weights model development across Europe and North America. At The Indox AI, Eva spearheads technical coverage of frontier foundation models (Claude, GPT, Gemini), inference optimization, and the architectural shifts redefining modern developer platforms.
News
Meta has officially launched Meta One, bundling paid customization, AI generation, and business tools across Instagram, WhatsApp, and Facebook. Here is everything included, what stays free, and full pricing breakdown.
Eva Marchand
Productivity
Explore how Meta VR for business is transforming enterprise training, design reviews, and remote spatial collaboration across healthcare, manufacturing, real estate, and retail.
Eva Marchand
AI
Technology cannot compensate for bad data, unclear responsibility, or weak oversight. Here is a practical operational framework for what public institutions must establish before AI touches public-service decisions.
Eva Marchand
Automation
A practical guide to identifying workplace tasks truly worth automating. Learn where repetitive work hides, why deleting steps beats automating them, how to separate rules from AI, and how to protect your net ROI.
Eva Marchand
Automation
Doctors spend nearly two hours on paperwork for every hour spent with patients. Here is an operational look at where clinic workflows break down, what can realistically be automated, and where human judgment cannot be replaced.
Eva Marchand
Programming
On September 22, Cloudflare introduced Worker Previews, giving branches isolated environments, URLs, state, and monitoring. Here is how to test AI-written code safely before release.
Eva Marchand
Automation
Meta just introduced Muse, an AI assistant that actually does tasks across your apps and browser instead of just answering questions. Here is how it works, how it keeps you safe, and what it means for your daily tech.
Eva Marchand
AI
Why elaborate roleplay preambles and prompt superstition are giving way to automated prompt compilation, typed schemas, and rigorous eval-driven engineering.
Eva Marchand
Machine Learning
You do not need a quantum computer to benefit from quantum-inspired algorithms. Discover how tensor networks, simulated bifurcation, and quantum information metrics are transforming classical deep learning on GPUs.
Eva Marchand