AI insights, industry analysis, and technical guides
AI inference is moving from pilot programs to production workflows across hospitals, pharma labs, and diagnostics providers. Here is what healthcare and life sciences leaders need to know about the speed, cost, and capability equation driving adoption today.
Anthropic drops Claude Opus 4.8, the NBA bets on AI officiating, and SoftBank commits billions to European AI infrastructure. Here are the stories shaping AI on June 1, 2026.
From real-time sports officiating to personalised content delivery, AI inference is fundamentally reshaping how media and entertainment organisations create, distribute, and monetise content. Here is what the adoption landscape looks like today and why inference performance has become the sector's defining competitive variable.
Anthropic drops Claude Opus 4.8 as SoftBank commits up to €75 billion to French AI infrastructure, while a growing debate challenges whether developers are becoming dangerously over-reliant on AI coding tools. Here's everything that matters from the last 48 hours.
Learn how to build a fully local document Q&A system using open-weights embedding models, a vector store, and a retrieval-augmented generation pattern. This hands-on tutorial takes you from raw PDFs to accurate, cited answers in under an hour.
Model quantisation can slash your inference costs by up to 4x while preserving most of your model's accuracy. This hands-on tutorial walks you through INT8 and INT4 quantisation using Hugging Face and bitsandbytes, covering real pitfalls and how to sidestep them.
From predictive maintenance to real-time quality control, AI inference is reshaping the factory floor in 2026. Here's what industrial organisations are deploying today—and why inference efficiency is becoming a competitive differentiator.
Anthropic secures a staggering $65B Series H as DeepSeek drives inference costs to near zero — and the industry is asking whether any of it is sustainable. Here are the developments reshaping AI in the past 48 hours.
From a landmark study exposing how frontier LLMs disagree on two-thirds of real-world fact-checks to corporate America reeling from unexpected AI costs, this week's developments force hard questions about AI's readiness for production. We also examine why Anthropic and OpenAI may finally have genuine product-market fit — and what a nature-inspired 'Eureka machine' means for the future of discovery.