MiniMax M2.7 Testing Shows Benchmark Wins & Major Cost Savings

MiniMax M2.7 fully tested as an agentic AI model, showing 30% autonomous self-improvement after 100+ self-training rounds.
IEEE

An End-to-End Multidomain Interaction Deep Unrolling Network Based on Block-Aware Optimization Model for ISAR Multitarget Separation

Abstract: In complex maritime scenarios, multiple targets in the same radar beam often degrade the quality of inverse synthetic aperture radar (ISAR) imaging. Most existing methods typically leverage ...
IEEE

A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals

Abstract: We consider tensor data completion of an incomplete observation of multidimensional harmonic (MH) signals. Unlike existing tensor-based techniques for MH retrieval (MHR), which mostly adopt ...
Reuters

Exclusive: DeepSeek withholds latest AI model from US chipmakers including Nvidia, sources say

SAN FRANCISCO/SINGAPORE, Feb 25 (Reuters) - DeepSeek, the Chinese artificial intelligence lab whose low-cost model rattled global markets last year, has not shown U.S. chipmakers its upcoming flagship ...
The Hacker News

Anthropic Says Chinese AI Firms Used 16 Million Claude Queries to Copy Model

Anthropic on Monday said it identified "industrial-scale campaigns" mounted by three artificial intelligence (AI) companies, DeepSeek, Moonshot AI, and MiniMax, to illegally extract Claude's ...