Researchers at MIT have overcome a major challenge holding back the real-world deployment of microwave quantum technologies for advanced signal processing and secure communications.

A sound that’s slightly off before a bearing fails. A smell that shows up before a chemical reaction runs hot. A texture that feels wrong before any instrument confirms it.

When President Donald Trump announced a wave of tariffs in early 2025, he launched a war of words. Threats and counterthreats flew across the Atlantic and Pacific in a swirl of escalation, retaliation, and reprieve.

There’s a number that stopped me in my tracks recently. U.S.

Engineers often use vision-language models to produce new designs, such as for airplane or automobile components.

Quality inspection has always depended on people who know what they are looking at. That remains true as automated visual inspection becomes faster and more widely deployed. The strongest systems don’t try to remove expert judgment completely.

From our bank accounts to smartphones, all our sensitive data and devices are protected with a technology known as cryptography. Present-day cryptography essentially uses a very challenging set of math problems that are nearly impossible for current computer

3D printing has matured from a speculative sci-fi fantasy into a practical tool.

The vision system scanned the part and logged a pass. The SPC chart stayed inside its control limits. The line kept moving.

The premise of AI large language models (LLMs) is that any problem can be solved by vacuuming up as much information as possible, running it through probability models, and performing complex calculations to make predictions and come up with the optimal solution.