The AI Revolution: It Still Needs To Start With The “Why”

AI is powerful. But it will not solve bad data or broken processes. In fact, it can magnify errors with great confidence.

What Students Need To Know About AI Degrees Before Picking A Major

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...
Interesting Engineering on MSN

Quantum hacking: The race to quantum-proof encryption is moving into chips

Every message, financial transaction, medical record, or government document encrypted today could remain stored ...
Tech Times on MSN

Chips that run on thermal noise could cut AI image generation energy use 10,000 times

Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...
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10 new professors appointed at ETH Zurich and EPFL

At its meeting of 15/16 July 2026 and upon application of the President of ETH Zurich, Professor Joël Mesot, and the President of EPFL, Professor Anna Fontcuberta i Morral, the ETH Board appointed a ...
Scientific American

Mathematicians still don’t know the fastest way to multiply numbers

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...