Ideas, reporting and useful context about future tech.
The most dependable robots will not be those that act without pause, but those that can recognize uncertainty and hand control back safely.
AI benchmarks remain useful, but rising scores can hide contamination, narrow tasks and unreliable real-world performance.
A reported Danone ice-cream recall shows why supply-chain data is useful only when it produces clear, timely answers…
Connected equipment is widening the security perimeter, while safety, uptime and unclear ownership make patching difficult.
Underwater robots must work without GPS, dependable links or easy rescue—revealing what real autonomy requires.
Recycling plants are expanding, but battery design, data and safe disassembly may determine whether electrification becomes truly circular.
Large datasets can amplify bias as easily as insight. Better science depends on how measurements are made, checked…
AI can recognize objects in images. Spatial intelligence is about understanding where they are, how they relate and…
Public digital services need plans for when software fails, because citizens cannot simply choose another provider.
AI is clustering where power, chips, cooling, networks and talent meet—reshaping what smaller economies can realistically control.
Battery degradation is shaped by chemistry, heat, charging, software and use—not simply by the number of times a…
Autonomous laboratories may accelerate discovery, but their real test is whether other scientists can reconstruct and reproduce their…