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Benders Decomposition Using Graph Modeling and Multi-Parametric Programming Benders Decomposition, BD, is a widely used ...

Benders Decomposition Using Graph Modeling and Multi-Parametric Programming Benders Decomposition, BD, is a widely used ...

We also cover the latest 2026 trends in AI model optimization and deployment. By the end of this bootcamp, you will have a ...

00:00 Introduction 00:46 Why it's so hard to predict future prices 02:17 What should we predict? 05:10 Don't predict price, predict ...

Dive into the incredible 50-year journey of research that led to the AI revolution's most powerful breakthrough: the Transformer ...

Moving Average (MA) Model in Python | Step-by-Step Time Series Forecasting Tutorial In this video, you will learn the Moving ...

Ready to become a certified Certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of ...

An interesting paper shows how we can understand and steer LLM in latent space: Chen H, Vondrick C, Mao C. Selfie: ...

By Adrian De Lon — Mathematical Logic Group, University of Boon, Czech Institute of Informatics Robotics and Cybernetics ...

FREE Machine Learning Course: https://compu-flair.com/physics-inspired-ml Apply to our bootcamp: ...

In this bonus lesson, we shift gears from linear algebra and regression into physics intuition. Today is all about first-order ...

Haskell: The Purely Functional Programming Language Standard Haskell is an advanced, purely functional programming ...

This is a mock with a college student. Their problem solving was reasonable but they really struggled with coding basic stuff, and I ...

We present a demonstration of the outcomes of large-scale program evolution applied to the Traveling Salesman Problem (TSP).

By Guillaume Baudart, Emilio J. Gallego Arias — Inria, CNRS While Proof Assistants have been proven to be extremely helpful, ...

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This is a talk by Greg Michaelson and Jason Hillary from Zerve AI. Join Greg Michaelson and Jason Hillary for a fully interactive, ...

Researchers are revolutionizing cognitive science by transforming the ACT-R framework, a conceptual blueprint of human thought ...

In this video, we explain one of the most important concepts in Machine Learning: Train Data and Test Data. If you are learning ...

In this AI Research Roundup episode, Alex discusses the paper: 'PaCoRe: Learning to Scale Test-Time Compute with Parallel ...