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Zeptosecond free-electron compression through temporal lensing
The pursuit of ever-shorter time scales is a frontier in modern physics, exemplified by the synthesis of attosecond light pulses — an achievement made possible by coherently superimposing a broad range of photon energies, as required by the uncertainty principle. However, extending...
Fitting Tree Metrics and Ultrametrics in Data Streams
Fitting distances to tree metrics and ultrametrics are two widely used methods in hierarchical clustering, primarily explored within the context of numerical taxonomy. Given a positive distance function $D:\binom{V}{2}\rightarrow\mathbb{R}_{>0}$, the goal is to find a tree (or ultrametric) $T$ including all elements...
Flexoelectric polarization in chiral liquid crystals: electrostatic self-interactions of topological defects
The presence of topological defects in apolar chiral liquid crystals cause orientational distortions, leading to non-uniform strain. This non-uniform strain generates an electric polarization response due to the flexoelectric effect, which induces an internal electric field. Associated to this electric field is...
Replay to Remember: Retaining Domain Knowledge in Streaming Language Models
Continual learning in large language models (LLMs) typically encounters the critical challenge of catastrophic forgetting, where previously acquired knowledge deteriorates upon exposure to new data. While techniques like replay buffers and parameter-efficient tuning (e.g., Low-Rank Adaptation or LoRA) have been proposed, few...
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models
Autoregressive (AR) models, long dominant in language generation, are increasingly applied to image synthesis but are often considered less competitive than Diffusion-based models. A primary limitation is the substantial number of image tokens required for AR models, which constrains both training and...
Quantum computing: How the Qubits will transform the future
Quantum computing is one of the most revolutionary technologies of our time, With the potential to completely transform the way we process information and solve computational problems. Instead of using traditional bits of classical computing, what...
Hidden dimensions: The Universe according to string theory
In the quest to understand the complexity of the universe, String theory has emerged as one of the most fascinating and revolutionary theories in modern physics.. In its essence, This theory proposes that all the fundamental particles in the universe are....
Time machines in scientific literature: How realistic are they??
In scientific literature, the concept of time machines has fascinated writers, scientists and researchers for centuries. The idea of traveling through time and changing past or future events has been explored in numerous literary works., from classics like....
dark energy: A door to the past?
Dark energy is one of the most fascinating and mysterious concepts in the field of astrophysics.. Although scientists still do not fully understand its nature, Dark energy is believed to be responsible for the acceleration..
Entropy and arrow of time: Why do we always move forward?
Entropy and the arrow of time are fundamental concepts in the study of physics and thermodynamics. Entropy refers to the degree of disorder or chaos in a system., while the arrow of time refers to the....