Minimax M2.5 lists $0.30 per million input tokens and $2.40 output on the lightning tier, helping builders plan predictable AI spend.

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

Abstract: A nonconvex-concave minimax quadratic problem is studied in this paper. An efficient alternating algorithm is proposed without any convexification procedures and constraint relaxations. By ...

Two Chinese AI companies backed by Alibaba and Tencent are racing to complete Hong Kong IPOs as soon as January 2026. MiniMax could raise hundreds of millions while Zhipu is targeting around $300 ...

In this video, I demonstrate how I created an AI to play chess using the minimax algorithm. GOP lawmakers join Democrats to stop map change What to know about the Venezuelan oil industry Greenland ...

A screen shows the trading info for The Walt Disney Company company on the floor of the NYSE in New York (Reuters) - Walt Disney, Comcast's Universal and Warner Bros Discovery have jointly filed a ...

A method of near-minimax polynomial approximation is described. As a by-product, this method provides a formula for an estimate of the maximum error associated with a ...

The open-source M1 boasts a record-breaking context window and lean training budget, promising enterprise-grade reasoning without hyperscaler resources — and reshaping the AI playing field. Chinese AI ...

The YouTube algorithm is often seen as a mysterious black box, determining which videos rise to fame and which languish in obscurity. But according to Todd Beaupré, who manages YouTube's ...