Algorithmic grading in class: What a study shows about extra student workload and privacy

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...

Microsoft deletes blog telling users to train AI on pirated Harry Potter books

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...
UC San Diego Today

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
The Business & Financial Times on MSN

Embracing AI with Dr. Gillian Hammah: Advanced AI skills to future proof your career

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...
IEEE

Applying Johnson's Algorithm for Efficient Shortest Path Analysis in Big Data

Abstract: In this paper, Johnson's Algorithm is employed for Big Data shortest route analysis. Its efficiency and efficacy in managing massive datasets to improve data processing and decision-making ...
GitHub

FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment

⚠️ Preview Version Notice: This is currently a preview version of FinWorld. Some code components are still being updated and may not be fully available in this repository. We appreciate your patience ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
CNN

Lindsey Vonn completes downhill training without issue ahead of Sunday’s medal event

Lindsey Vonn line danced, some sort of Electric Slide meets the Cotton Eyed Joe. She screamed, sending some hoots and hollers in the direction of teammate Jacqueline Wiles. She stretched. She waited.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
GitHub

Distributed Rate Limiter

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.