To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.
Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.
Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...
However, once you read this, the fact that you read it is now history, too. Those who cannot remember the past are condemned ...
Interesting Engineering on MSN
Anchoring US dominance: 7 critical technologies that give America an edge over China
The intense tech battle between the United States and China is a topic of ...
Most AI still "sees" the way a poster sees, as a flat picture, but not Christoph Lassner of World Labs. That works for captions and filters ...
Live Science on MSN
'Proof by intimidation': AI is confidently solving 'impossible' math problems. But can it convince the world's top mathematicians?
AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...
9dOpinion
The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Automating knowledge production and teaching weakens the ecosystem of students and scholars that sustains universities, ...
Generative AI advanced rapidly without engineers fully understanding how chatbots produce their outputs. Unlike traditional software, ...
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These 10 AI companies are creating jobs, amplifying expertise, and proving that empowerment beats replacement every time.
7 AI coding techniques that quietly make you elite ...
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