Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...
Abstract: Protograph-based Raptor-like (PBRL) LDPC codes, adopted in the 5G NR eMBB data channel, support a wide range of code rates by generating incremental redundancy through XOR operations. As the ...
Quantum computing has crossed a line that classical machines cannot easily follow, pushing simulations of matter and forces into regimes that even the largest supercomputers struggle to touch. Instead ...
Your browser does not support the audio element. Well, back in 1987, two programmers at General Electric did — and they ended up inventing the Marching Cubes ...
Google DeepMind has published a research paper hitting back at criticism of its AI chip design system AlphaChip. The Google AI arm originally announced its novel reinforcement learning method for ...
Workloads align, resources harmonize, Load Balancing's careful orchestration ensures no single point of overload. (1) Omer Rathore, Department of Physics, Durham University; (2) Alastair Basden, ...
We investigate a framework for binary image denoising via restricted Boltzmann machines (RBMs) that introduces a denoising objective in quadratic unconstrained binary optimization (QUBO) form ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results