Blog
Cómo estudiar el tiempo, la realidad y la conciencia sin perderse: una ruta de aprendizaje
Una ruta práctica para estudiar física, filosofía e investigación de la conciencia con criterio, orden y pensamiento crítico.
Cómo cambió nuestra idea del tiempo: de los ciclos antiguos al espacio-tiempo
Un recorrido por la transformación de nuestra idea del tiempo, desde calendarios y filosofía antigua hasta relatividad y cosmología.
Tiempo y conciencia: por qué un minuto puede parecer eterno y una década desaparecer
La mente no registra el tiempo como un reloj. Atención, emoción, memoria y novedad construyen nuestra experiencia temporal.
Paradojas temporales: del abuelo a los bucles causales y las líneas alternativas
Las paradojas temporales no son simples juegos mentales: revelan qué entendemos por causa, identidad, libertad y coherencia física.
¿Es posible viajar en el tiempo? Lo que la física sabe y lo que aún ignoramos
Una guía rigurosa y accesible sobre relatividad, dilatación temporal, agujeros de gusano y los límites reales de los viajes en el tiempo.
Beyond Binary Opinions: A Deep Reinforcement Learning-Based Approach to Uncertainty-Aware Competitive Influence Maximization
The Competitive Influence Maximization (CIM) problem involves multiple entities competing for influence in online social networks (OSNs). While Deep Reinforcement Learning (DRL) has shown promise, existing methods often assume users’ opinions are binary and ignore their behavior and prior knowledge. We propose...
Bayesian Federated Learning for Continual Training
Bayesian Federated Learning (BFL) enables uncertainty quantification and robust adaptation in distributed learning. In contrast to the frequentist approach, it estimates the posterior distribution of a global model, offering insights into model reliability. However, current BFL methods neglect continual learning challenges in...
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
In this paper, we introduce EasyEdit2, a framework designed to enable plug-and-play adjustability for controlling Large Language Model (LLM) behaviors. EasyEdit2 supports a wide range of test-time interventions, including safety, sentiment, personality, reasoning patterns, factuality, and language features. Unlike its predecessor, EasyEdit2...
Fully connected twin-field quantum key distribution network
Quantum key distribution (QKD) is a key application in quantum communication, enabling secure key exchange between parties using quantum states. Twin-field (TF) QKD offers a promising solution that surpasses the repeaterless limits, and its measurement-device-independent nature makes it suitable for star-type network...
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Performing striking aerobatic flight in complex environments demands manual designs of key maneuvers in advance, which is intricate and time-consuming as the horizon of the trajectory performed becomes long. This paper presents a novel framework that leverages diffusion models to automate and...