Some algorithms solve problems. This one changed civilization. From guiding satellites to securing your bank account, its influence reaches every corner of technology. It started with a simple insight ...
DETRIM.m Main Entry Point. Executes the hierarchical, multi-window search and iterative clustering. DETRIM_fwd_rev_cluster.m Performs the core clustering for a single time window, including forward ...
In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...
After finding the homeschooling life confining, the teen petitioned her way into a graduate class at Berkeley, where she ended up disproving a 40-year-old conjecture. It’s not that anyone ever said ...
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...
These days, everyone seems to have an opinion about A.I. companions. Last year, I found myself joining the debate, publishing a paper—co-written with two fellow psychology professors and a philosopher ...
There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
The smart ring will also more accurately measure calories burned during exercise by factoring in your heart rate. The smart ring will also more accurately measure calories burned during exercise by ...
Quantum computing holds great promise in such such as computational chemistry and high-speed networking. But they’re so different from classical HPC systems that scientists are working out how to feed ...
In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...
One of the pitches for investing heavily in AI—especially resource-intensive versions such as large language models (LLMs)—is the argument that these powerful technologies have the potential to help ...
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