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Mastering Quantum Circuit Learning with Qiskit 0.42 and Cirq 1.1: A Comparative Study
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Web Development 4 min read

Mastering Quantum Circuit Learning with Qiskit 0.42 and Cirq 1.1: A Comparative Study

Learn how to implement Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA) using Qiskit 0.42 and Cirq 1.1. This post provides a step-by-step guide on how to use these libraries for quantum circuit learning.

NextGenBeing Founder

NextGenBeing Founder

Jan 23, 2026

26 0 0
Quantum Computing Machine Learning +1
Optimizing Multimodal AI Models with Neural Architecture Search
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Mobile Development 3 min read

Optimizing Multimodal AI Models with Neural Architecture Search

Discover how to optimize multimodal AI models with Neural Architecture Search and learn about the strengths and weaknesses of popular AutoML libraries like Hugging Face Optimum, Microsoft NNI, and Google AutoML.

NextGenBeing Founder

NextGenBeing Founder

Jan 16, 2026

24 0 0
AI Machine Learning +2
Real-World Applications of AI and Machine Learning
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DevOps 4 min read

Real-World Applications of AI and Machine Learning

Learn from our experience deploying AI and machine learning models in production, including integration challenges, scalability issues, and performance optimization techniques.

NextGenBeing Founder

NextGenBeing Founder

Jan 5, 2026

22 0 0
AI Machine Learning +1
ChatGPT vs Claude vs Gemini: Real Performance Benchmarks
Data Science 3 min read

ChatGPT vs Claude vs Gemini: Real Performance Benchmarks

Discover how ChatGPT, Claude, and Gemini perform in real-world scenarios, including their strengths, weaknesses, and optimal use cases, based on comprehensive benchmarks and practical insights from our team's experience.

NextGenBeing Founder

NextGenBeing Founder

Jan 3, 2026

40 0 0
AI Natural Language Processing +2
Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data
AI Workflows 4 min read

Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data

Federated learning is a machine learning approach that enables multiple actors to collaborate on model training while maintaining data private. This article explores the use of TensorFlow Federated 1.2 and Scikit-learn 1.3 for federated learning on healthcare data.

NextGenBeing Founder

NextGenBeing Founder

Dec 17, 2025

62 0 0
federated learning healthcare +2
Quantum Machine Learning with Pennylane and Qulacs: A Comparative Study
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Web Development 3 min read

Quantum Machine Learning with Pennylane and Qulacs: A Comparative Study

Discover how to use Pennylane and Qulacs for quantum machine learning, including quantum circuit learning and quantum k-means clustering. Learn about the strengths and weaknesses of each library and how to choose the best tool for your specific use case.

NextGenBeing Founder

NextGenBeing Founder

Dec 14, 2025

32 0 0
Quantum Computing Machine Learning +2