Temporal Array lets each track carry its own Euclidean-generated pattern, set by pattern length and pulse count, then rotated or reordered via Permute.

Large Language Models (LLMs) are highly accurate in classification tasks, however, substantial computational and financial costs hinder their large-scale deployment in dynamic environments. Knowledge ...

MPSlib provides a set of algorithms for simulation of models based on a multiple point statistical model inferred from a training image. Check out these set of Python notebooks, to get an idea of what ...

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...

Machine learning bias, also known as algorithm bias or AI bias, is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the ...

Diagnosing the drowning site is a major challenge in forensic practice, particularly when corpses are recovered from flowing rivers. Recently, forensic experts have focused on aquatic microorganisms, ...

Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qubits in two spatial ...

Department of Pathology, University of Pittsburgh Medical Center, 3550 Terrace Street, Pittsburgh, Pennsylvania 15261, United States Department of Immunology, University of Pittsburgh Medical Center, ...

Classification is a two-step process, learning step and prediction step, in machine learning. In the learning step, the model is developed based on given training data. In the prediction step, the ...