Learning a new language may keep the brain younger, study finds

Speaking multiple languages is linked to a younger-looking brain, with the greatest benefits seen in fluent multilinguals.

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
The Scientist

Postdoc Portrait: Anupam Ojha Investigates Protein Dynamics

Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...
TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Scientists crack Wordle code using information theory, and it works 99% of the time

If you have been trying to beat Wordle every day and failing more often than you would like to admit, science might finally ...
EurekAlert!

From trial-and-error to intelligent design: Machine Learning boosts a breakthrough in the performance of BaTiO3-based High-Entropy energy-storage ceramics

Dielectric ceramic capacitors are essential core components for electronics, smart grids and new energy vehicles, prized for their high power density. As electronic devices move toward miniaturization ...
IEEE

Phase Formation in Vacuum Arc Melted High Entropy Alloys: Insights from Machine Learning and Experimental Validation

Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...
PNAS

ZENN: A thermodynamics-inspired computational framework for heterogeneous data–driven modeling

The increasing availability of complex, heterogeneous datasets poses significant challenges for traditional data-driven methods, which often assume data homogeneity and fail to account for internal ...
Scientific Research Publishing

Mao, A., Mohri, M. and Zhong, Y. (2023) Cross-Entropy Loss Functions: Theoretical Analysis and Applications.

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...
Microsoft

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Sample selection improves the efficiency and effectiveness of machine learning models by providing informative and representative samples. Typically, samples can be modeled as a sample graph, where ...
Frontiers

Information entropy dynamics, self-organization, and cybernetical neuroscience

In Haken (1988), the eminent scientist Hermann Haken explored the interplay between the concepts of information and self-organization. He took a significant step toward broadening the applicability of ...