Why Weibo’s tiny VibeThinker-3B has the AI world arguing over benchmarks again

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting ...
The Tech Edvocate

How to use Keras

Spread the love“`html Keras has emerged as one of the most popular deep learning libraries in recent years, notable for its simplicity and ease of use. Whether you’re a seasoned data scientist or a ...
GitHub

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

SMAC offers a robust and flexible framework for Bayesian Optimization to support users in determining well-performing hyperparameter configurations for their (Machine Learning) algorithms, datasets ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Business Standard

Python Developers Are Turning to AI for Techies to Stay Ahead in AI

New Delhi [India], December 25: Artificial intelligence is no longer a futuristic concept, it's a rapidly growing force shaping industries, economies, and our everyday lives. From personalized ...
IEEE

Learning Nonlinear Dynamics Using Kalman Smoothing

Abstract: Identifying Ordinary Differential Equations (ODEs) from measurement data requires both fitting the dynamics and assimilating, either implicitly or explicitly, the measurement data. The ...