MiniMax Unveils M2.1 to Bring Multilingual Programming Gains to Open AI Models Your email has been sent Chinese AI startup’s release is a major update to its open-source model series, aimed at ...

Struggling with a problem that seems to require trigonometry? This lesson shows how to solve it without using trigonometry, using two easy methods anyone can apply. With clear logic and step-by-step ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

OpenAI researchers have admitted that even the most advanced AI models still are no match for human coders — even though CEO Sam Altman insists they will be able to beat “low-level” software engineers ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

In today’s fast-paced business environment, being able to solve problems efficiently and effectively is a critical skill. For ambitious and skilled job seekers and employees on a six-figure career ...

A new so-called “reasoning” AI model, QwQ-32B-Preview, has arrived on the scene. It’s one of the few to rival OpenAI’s o1, and it’s the first available to download under a permissive license.