GitHub

Learning the Language of Phylogeny with MSA Transformer

MSA Transformer takes a multiple sequence alignment as an input to reveal conservation patterns, and is trained with Masked Language Modeling objectives to capture epistasis [1]. Previous research ...

Humanoid Robotics Emerges as Solution for Not-Well-Defined Real-World Problems

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...
IEEE

Service Migration Algorithm Based on Markov Decision Process with Multiple Service Types and Multiple System Factors

Abstract: This paper proposes a Markov decision process based service migration algorithm to satisfy quality of service (QoS) requirements when the terminals leave the original server. Services were ...
IEEE

Partially Interacting Multiple-Model Algorithm With Maneuvering Parameters Initialized by Gaussian Mixture

Abstract: The challenge of maneuvering target tracking lies in the difficulty of handling the uncertainty of target motion types and the uncertainty of maneuvering parameters simultaneously. In this ...