分类：AI大模型

AI game theory emerges as a critical framework for understanding and securing autonomous AI agents as they begin interacting with each other, creating complex emergent behaviors that traditional security models cannot predict. (随着自主AI智能体开始相互交互，产生传统安全模型无法预测的复杂涌现行为，AI博弈论成为理解和保护这些系统的关键框架。)

Generative Adversarial Networks (GANs) apply game theory to deep learning through competing generator and discriminator networks that produce realistic synthetic data while addressing traditional ML limitations like data scarcity and feature engineering requirements. (生成对抗网络（GANs）通过竞争的生成器和判别器网络将博弈论应用于深度学习，产生逼真的合成数据，同时解决传统机器学习中的数据稀缺和特征工程需求等限制。)

PassiveLogic's Differentiable Swift achieves 992x better energy efficiency than TensorFlow and 4,948x better than PyTorch, enabling new edge AI applications while addressing climate concerns. (PassiveLogic的Differentiable Swift能效比TensorFlow高992倍，比PyTorch高4,948倍，在解决气候问题的同时开启了新的边缘AI应用。)

AI energy efficiency focuses on minimizing power consumption while maintaining performance through hardware optimization, algorithmic improvements, and industry applications. (AI能源效率通过硬件优化、算法改进和行业应用，在保持性能的同时最小化功耗。)

Memory computing (CIM) addresses AI's energy crisis by processing data where it's stored, reducing data movement energy by up to 80% and enabling sustainable zettascale computing. (内存计算(CIM)通过在数据存储位置直接处理数据解决AI能源危机，减少高达80%的数据移动能耗，实现可持续的泽塔级计算。)

JavaScript AI agent frameworks provide structured toolkits for building autonomous software systems that perceive, decide, and act. These frameworks are becoming essential for modern web applications, with industry reports predicting over 60% adoption by 2025. (JavaScript AI代理框架为构建能够感知、决策和行动的自主软件系统提供结构化工具包。这些框架正成为现代Web应用的关键组成部分，行业报告预测到2025年采用率将超过60%。)

PowerLattice's miniature power-delivery chiplets, placed millimeters from AI processors, claim to reduce power consumption by up to 50% and double performance per watt by minimizing electrical transmission losses, though experts note achieving such savings requires real-time load control. (PowerLattice的微型供电芯片组安装在距AI处理器毫米处，声称通过最小化电力传输损耗可降低高达50%的功耗并使每瓦性能翻倍，但专家指出实现此节能需要实时负载控制技术。)

KaibanJS is a comprehensive JavaScript AI agent framework featuring Redux-inspired state management, multi-model integration, and full observability for building scalable AI applications across modern web frameworks. (KaibanJS是一个全面的JavaScript AI代理框架，具有受Redux启发的状态管理、多模型集成和完全可观测性，用于在现代Web框架上构建可扩展的AI应用程序。)

Reagent AI is an open-source JavaScript framework for building AI workflows using agentic graphs. It enables developers to create multi-step AI applications with custom UI components and supports integration with any modern frontend framework. (Reagent AI是一个用于通过代理图构建AI工作流的开源JavaScript框架。它使开发人员能够创建具有自定义UI组件的多步骤AI应用程序，并支持与任何现代前端框架集成。)