OpenAI upgrades Codex to automate your workflows - and compete better with Claude Code

Codex's new plugins push it beyond coding and position it to challenge Claude Code's growing lead among developers.

What Makes MiniMax M2.7 So Special? The New AI, Explained

Discover why the MiniMax M2.7 AI model is making waves in the tech world. Explore its groundbreaking features, performance, ...

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
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

Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs

Abstract: Deep reinforcement learning (DRL) is currently the most popular AI-based approach to autonomous vehicle control. An agent, trained for this purpose in simulation, can interact with the real ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...