Today, we know a lot about distance work and how to make it work. Thirty years of federally funded research brought ...
4don MSN
Simplifying quantum simulations—symmetry can cut computational effort by several orders of magnitude
Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...
Agarwal’s work on smart home security labels has earned international acclaim and shaped new federal safety standards ...
Jason Turner, Chairman and CEO of Entanglement, started the AI quantum computing company in 2017. He quickly realized it was too early.
At a glance, Saturn’s rings appear calm and pristine when observed from afar. These rings are quite narrow and consist mainly of water ice particles that uniformly circle Saturn in a symmetric ...
Tech Xplore on MSN
Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
California’s community colleges are now giving college credit for students’ previous work experiences. The state has a goal ...
The UTA-sponsored fair is one of the few regional fairs in Texas that does not charge participation fees to schools or students. The public is invited to view the projects from 3 to 7 p.m. on Monday.
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 ...
Eric Dane, known for his roles on “Grey’s Anatomy” and “Euphoria,” died this week from amyotrophic lateral sclerosis at age ...
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 can't verify them. How will we know if they're right?
Some results have been hidden because they may be inaccessible to you
Show inaccessible results