Abstract: Concepts have been adopted in concept-cognitive learning (CCL) and conceptual clustering for concept classification and concept discovery. However, the standard CCL algorithms are incapable ...

Abstract: This paper considers the problem of state estimation in autonomous navigation from a theoretical perspective. In particular, the investigation concerns problems where the information ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Home insurance premiums may differ depending on relationship status among other risk factors ...

A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...

GUSH offers leveraged upside, but requires intelligent timing decisions and active management due to daily rebalancing. Read ...

Artificial Intelligence (AI) demonstrates significant potential to enhance diagnostic precision, personalised treatment, and support clinical decision-making in women’s health, a study and comparative ...

Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...

Named after shotgun DNA sequencing, in which long DNA sequences are computationally reconstructed from many short sequencing reads, shotgun proteomics identifies proteins from tandem mass spectra of ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Bocunebart's PACAP-targeting mechanism positions it as a potential first-in-class therapy in a thin pipeline of novel ...