Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...
Interesting Engineering

Scientists show predictable training can outperform complex robot learning data

Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.
Frontiers

MVarGOSIM: an MPS algorithm for characterizing complex structures with multiple variables

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...
GitHub

Data Structures and Algorithms

These notes can be used to find top patterns for each category. Note that reading these notes can be much faster than watching videos. Moreover, it can take only take an evening to refresh your ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
financefeeds

Good and Bad Crypto Algorithms Explained Simply

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...
GitHub

Data Structures and Algorithms Repository

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...
Nature

Data Structures and Algorithms

Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...
Booth School of Business

A Hiring Algorithm That Isn’t Vulnerable to Biased Data

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...
techxplore

Machine learning algorithm enables faster, more accurate predictions on small tabular data sets

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...