M3 demonstrates that the next phase of agent development will not just be driven by larger datasets, but by efficient architectural choices.

Abstract: We consider the problem of two-player zero-sum games. This problem is formulated as a min–max Markov game in this article. The solution of this game, which is the min–max payoff, starting ...

Abstract: Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis. Despite many methodological and theoretical ...

MiniMax has launched Hub, a multimodal AI video generator that consolidates image creation, video, voiceover, music and editing into a single platform. Xu Lüyang, from the product operations ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

MiniMax M3 sparse attention is now verified by Artificial Analysis, which ranks M3 first among open-weight AI models with an ...

Container image startup Minimus Inc. today announced that it’s removing the registration wall on its entire catalog of secure ...

AI Implementation The Hard difficulty uses the Minimax Algorithm to evaluate all possible game states and choose the optimal move.