Abstract: This paper aims to develop a method for approximating continuous transfer functions and selecting frequency points in analytical form. The method can be used for adaptive algorithms, ...

This is a PyTorch/GPU implementation of the paper Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation: @article{wang2025bridging, title={Bridging Continuous and Discrete ...

Abstract: This letter investigates the stability analysis of discrete-time Takagi-Sugeno fuzzy systems by incorporating the dynamics of membership functions (MFs) into an augmented state vector. Using ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

AI-first healthcare is primarily a governance and systems challenge. Technical capability has outpaced institutional ...

Aging has traditionally been viewed as a gradual and continuous process shaped by time, genetics, and environment. However, ...

Findings challenge prevailing ignition–sustainment assumptions, reframing plasma instability as a systems-level ...

The old life script of “study first, work later” is collapsing under the pressure of artificial intelligence. Learning and ...

We introduce Q3C, a framework for continuous control without an explicit actor network by leveraging structurally maximizable Q-functions for stable and efficient policy learning.

Flexible work, continuous learning, multigenerational mentoring and digital career tools are helping employees build ...