Abstract: Exon prediction is a major goal in computational gene prediction in eukaryotes, and is often undertaken using neural networks and generalized Hidden Markov Models (HMMs).Examples include ...

Over 85 years after it began, the Einstein-Bohr debate remains the most consequential intellectual rivalry in modern science — one that shaped quantum mechanics, redefined human understanding of ...

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...

The addition rule for probabilities determines the chance of either mutually exclusive or overlapping events happening, using ...

What sets Finnish racers apart isn’t just raw talent or nerves of steel. It’s their uncanny ability to calculate risk at high speed, blending instinct with mathematical thinking in the split seconds ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

At the height of his powers, and perhaps his amphetamine habit, legendary sci-fi author Philip K. Dick cranked out around thirty novels in two decades, along with what was probably several hundred ...