Blog
How to study time, reality and consciousness without getting lost: a learning path
A practical route to study physics, philosophy and research of consciousness with criteria, order and critical thinking.
How our idea of time changed: from ancient cycles to space-time
A journey through the transformation of our idea of time, from calendars and ancient philosophy to relativity and cosmology.
Time and consciousness: Why a minute can seem eternal and a decade disappear
The mind does not keep time like a clock. Attention, emotion, memory and novelty construct our temporal experience.
Temporal paradoxes: from grandfather to causal loops and alternative lines
Temporal paradoxes are not simple mind games: reveal what we understand by cause, identity, freedom and physical coherence.
Is it possible to travel in time? What physics knows and what we still don't know
A rigorous and accessible guide to relativity, time dilation, Wormholes and the real limits of time travel.
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...