Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
Security Boulevard

Automated Threat Detection for Quantum-Enabled Adversarial Attacks on AI Context

Learn how to protect Model Context Protocol (MCP) from quantum-enabled adversarial attacks using automated threat detection ...
Total Retail

How I Combined GPT With Classical Optimization to Make Retail AI 85% Faster

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and ...
Microsoft

Teaching small language models to think like optimization experts with OptiMind

OptiMind is a specialized language model that translates natural-language problem descriptions directly into solver-ready mathematical optimization formulations. This removes one of the most expertise ...
GitHub

STMATH: Unified Math & AI Toolkit for Python

Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...
Hosted on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning What Joseph Duggar told wife Kendra ...
Hosted on MSN

Visualizing free body diagrams with vector math in Python

Visualize free body diagrams using vector math in Python to better understand forces and motion. This video shows how vectors represent forces, how they combine mathematically, and how Python helps ...
IEEE

Mathematical Modeling and Multi-objective Optimization of Negative-coupled Inductor in Multiphase Interleaved DC-DC Converter

Abstract: To optimize the converter efficiency, footprint and volume of magnetic devices simultaneously, this paper proposes a mathematical modeling and multi-objective optimization method based on ...
C&EN

Correction to “Ugropy: An Extensible Python Package for Thermodynamic Model Functional Group Identification via Mathematical Optimization”

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In our recently published article, we compared different ...
Microsoft

OptiMind: Teaching LLMs to Think Like Optimization Experts

Mathematical programming – the task of expressing operations and decision-making problems in precise mathematical language – is fundamental across domains, yet remains a skill-intensive process ...