Marbella has long lacked a centralized, English-language resource to connect its large non-Spanish-speaking community and ...

Elinext streamlines messy workflows with Lean+agile teams, replacing clunky Excel/ERP with microservices—boosting speed 40%, data accuracy, and cutting costs. Process optimization is the quiet kind of ...

!pip -q install "transformers>=4.49" "optimum[onnxruntime]>=1.20.0" "datasets>=2.20" "evaluate>=0.4" accelerate from pathlib import Path import os, time, numpy as np ...

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was ...

The first peer-reviewed study of the DeepSeek AI model shows how a Chinese start-up firm made the market-shaking LLM for $300,000 ...

Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns and to ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Abstract: Aiming at the optimization problem of intelligent distribution network, an adaptive optimization model of target grid is proposed in this paper. The model improves the operation efficiency ...

Materials Science and Engineering, Nanjing University of Technology, Nanjing, China Injection molding is the most common method for making plastic products. However, quick molds made with ultraviolet ...

Introduction: The increasing emphasis on sustainable finance policies has necessitated the development of advanced mathematical models to optimize bank investment portfolios and debt structures. While ...