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A major LSE study says AI could cut emissions by billions of tonnes annually — but only if it gets enough clean electricity. Where does that power come from?
What changes when AI moves from background infrastructure into an explicitly named position inside a scientific and industrial organization? Ten pointed questions, unabridged answers.
A facility fifteen times the size of the Pentagon is being built in Texas. The real story isn't the size — it's what it reveals about where industrial power is headed.
Efficiency is not the answer. It never was. The question was always about continuity.
Every time a large language model answers a question, something burns. Not metaphorically.
The objections are familiar. The answers, examined independently, are harder to dismiss than they first appear.
How machine learning became the silent collaborator in engineering materials that didn't exist a decade ago
Three years of failed experiments. Then, in late November, the results changed. Babak Bakhit, a researcher at the University of Cambridge's Department…
On AI, Intent Disambiguation, and Why the Most Important Step in Understanding New Technology Is Often the One Nobody Takes.
The industrial world has a legacy problem. Factories and energy plants across the globe still depend on hardware-locked control systems built for a previous…
Artificial intelligence consumes power at an accelerating rate. A technology built on harvesting cosmic radiation offers a solution that closes the loop…
