MiniMax M2.7 Self-Evolving AI Model Shows Gains in Coding Benchmarks

Anthropic Claude Co-work Dispatch runs approved desktop tasks from mobile messages, focused on local execution and data ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
IEEE

PAC Code Rate-Profile Design Using Search-Constrained Optimization Algorithms

Abstract: In this paper, we introduce a novel rate-profile design based on search-constrained optimization techniques to assess the performance of polarization-adjusted convolutional (PAC) codes under ...
IEEE

Simplified Viterbi-Like Successive-Cancellation Decoding Algorithm for Polar Codes

Abstract: This paper proposes a novel Viterbi-Like successive cancellation (VL-SC) decoding algorithm for polar codes. The algorithm employs the bit log-likelihood-ratio as the “penalty value” within ...