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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework

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A detailed MATLAB Simulink model was developed to replicate turbine behaviour under identical wind conditions, physically, providing robust validation for ML predictions. The Stacking ensemble demonstrated superior performance, achieving an exceptional R2 of 0.998 and RMSE of 0.11, significantly outperforming individual algorithms.

ML
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New Method Customises LLMs in Seconds, Beats Tuning: Research

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This Indian Startup is Using Drones to Deliver Groceries to Your Doorstep How Neo4j Uses Graph Technology With LLMs to Replace SaaS Applications EY India Launches Customised LLM for BFSI Sector It’s Okay to be an LLM Wrapper Association of Data Scientists GenAI Corporate Training Programs Enquire Today >> Our Upcoming Conference Cypher 2025 Indias (..)

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M3 iPad Air (2025) vs M2 iPad Air (2024) vs M1 iPad Air (2022)

Dataconomy

AI & ML Boost : Apple claims the M3 is up to 60% faster for AI-based tasks than the M1 , making it more future-proof. If that happens, we could see an M4 iPad Air in late 2025 or early 2026. However, for now, the M3 iPad Air remains the latest and most powerful version. Final thoughts: M1, M2, or M3 iPad Air?

ML
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Winter Hackathon 2025 – Closing Session

Women in Big Data

Rupa, an AI/ML Solution Architect and Senior Data Scientist at Siemens championed the program and served as the primary organizer and Stuti, Lead Data Scientist at Samsung provided technical guidance and coordination throughout the 8 week program. A similar WiDS partnership hackathon is planned for Winter/Spring 2026.

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DataOps in Data Science: The Secret Sauce for High-Performing Teams in 2025

Pickl AI

According to Gartner, by 2026, a data engineering team guided by DataOps practices and tools will be ten times more productive than teams that do not use DataOps. The traditional, often manual, approaches to data management are no longer sustainable in an era where real-time insights are crucial for business success.

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Beginner’s Guide to Building AI Agents to Sell

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You’ll discover how these agents use technologies like Natural Language Processing (NLP) and Machine Learning (ML) to deliver measurable results, while also learning why they’re in such high demand. Core features include: Using Machine Learning (ML) to identify trending topics and generate platform-specific content.

AI
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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. According to the US Bureau of Labor Statistics, jobs requiring data science skills will grow by 27.9% This article helps you choose the right path by exploring their differences, roles, and future opportunities.