GenAI in Business: Leveraging the Existing .NET Foundation

Generative AI with .NET from SDKs and streaming to tools and agents: an overview of OpenAI, Azure, and the new Microsoft ...

Fastest AI Vision Model for Your Laptop : Liquid AI LFM 2.5

Liquid AI’s LFM 2.5 runs a vision-language model locally in your browser via WebGPU and ONNX Runtime, working offline once ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...
Supply Chain

The End of Linear PLM, and How 2025 Broke the Model

Analyst Insight: As 2025 comes to an end, one reality has become clear: The traditional linear product lifecycle management model has reached its limits. For years, PLM served retailers well by ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
eLife

Separating selection from mutation in antibody language models

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.
Phys.org

AI learns to build simple equations for complex systems

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...
GitHub

linear-transformer

This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and ...
Scientific Research Publishing

AI Large Language Model-Driven Pedagogical Reform and Practice for the Python Programming Course: A Case Study in the Electronic Information Engineering Program ()

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
IEEE

Data-Driven Power System Linear Model Identification via Quadrature-Based Balanced Truncation

Abstract: This paper introduces the novel formulation of the quadrature-based balanced truncation (QBBT) method to precisely identify large-scale power system linear models. The QBBT interpolates a ...
Hosted on MSN

Multiple Linear Regression from Scratch in Python – Simply Explained

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...