On Wednesday, MIT Technology Review hosted a live Roundtables event for subscribers that asked the question everyone’s asking right now: Could AI really kill us all? But attendees had so many more questions than we had time to answer in the 30 minute session. So we asked our senior AI editor Will Douglas Heaven and…
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do…
Your AI factory can be fully operational while the business processes it was funded to improve remain unchanged. The infrastructure is in place, and your models are already running inference at volume. Yet when leadership asks which operating costs have fallen or which decisions are happening faster, the answer is “not yet.” And the cost...
The post Your AI factory is running. What’s it...
Seit gut 20 Jahren arbeite ich mit Software für Planung, Reporting und Analytics. Ich war Controller, habe verschiedene Lösungen implementiert und begleite heute Unternehmen bei der Softwareauswahl. Dabei zeigt sich immer wieder: Die Qualität der späteren Lösung hängt wesentlich davon ab, wie die Entscheidung vorbereitet wird. Fehler fallen häufig erst nach dem Kauf auf, wenn […]
Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and financial strain.
In this episode, Jim Hartman, Chief Commercial Officer at Cleerly, examines with host Marilie Fouché how AI‑driven coronary CTA analysis strengthens diagnostic...
Putting AI into production now takes more than deploying a model and tracking accuracy. MLOps made traditional ML manageable, while LLMOps added concerns around prompts, retrieval, evaluation, latency, and cost. AgentOps adds another layer for systems that decide, call tools, and complete multi-step tasks. These shifts change what teams monitor and control. In this article, we...
A year ago, terminal AI mostly meant asking a model to explain errors, generate commands, or edit small functions. In 2026, leading coding CLIs have become full agent runtimes that can inspect repositories, plan work, modify files, run tests, use external tools, and verify results. In this article, we compare five standouts agentic coding CLIs: Claude Code, Codex CLI, […]
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The semantic model settings pane is becoming the default way to configure semantic models in the Power BI service. The pane opens alongside your workspace, so you can review and change settings without leaving the current page. It provides the same settings as the full semantic model settings page while keeping the surrounding context visible. The classic settings page remains available...
AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI...
In celebration of still being alive and fighting, we are giving away 1,000 Amazon e-books of “If Anyone Builds It, Everyone Dies”. Feel free to send a copy to yourself, a loved one, or a friend—we need all hands on deck. Today marks exactly one year since If Anyone Builds It, Everyone Dies: Why Superhuman […]
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