The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...
We study the convergence of a proximal-like minimization algorithm using Bregman functions. We extend the convergence results by Censor and Zenios (1992) and by Chen and Teboulle (1993) by showing ...
Projection algorithms are well known for their simplicity and flexibility in solving feasibility problems. They are particularly important in practice owing to minimal requirements for software ...
Today, humanity stands at a civilizational turning point where ultra-large-scale artificial intelligence (AI) is shaking the very foundations of society. Beyond mere technological progress in ...
Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...
A team of predominantly Filipino weather scientists developed a physics-based algorithm to detect and monitor shear lines.
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