全部热榜

3039 个 第 240/254 页
RAIS RAIS
06:25
  1. 1 LSTM - 长短期记忆网络
  2. 2 三种梯度下降算法的区别(BGD, SGD, MBGD)
  3. 3 PCA - 主成分分析法
  4. 4 Sigmoid 函数
  5. 5 深度学习中的正则化(一)
  6. 6 深度前馈网络
  7. 7 构建机器学习算法
  8. 8 随机梯度下降
  9. 9 无监督学习算法
  10. 10 监督学习算法
  11. 11 最大似然估计与最大后验估计
  12. 12 估计、偏差和方差
  13. 13 超参数、验证集和K-折交叉验证
  14. 14 过拟合和欠拟合
  15. 15 机器学习算法
AIGC Weekly AIGC Weekly
06:25
  1. 1 AIGC Weekly #173
  2. 2 AIGC Weekly #172
  3. 3 AIGC Weekly #171
  4. 4 AIGC Weekly #170
  5. 5 AIGC Weekly #169
  6. 6 AIGC Weekly #168
  7. 7 AIGC Weekly #167
  8. 8 AIGC Weekly #166
  9. 9 AIGC Weekly #165
  10. 10 AIGC Weekly #164
  11. 11 AIGC Weekly #163
  12. 12 AIGC Weekly #162
  13. 13 AIGC Weekly #161
  14. 14 AIGC Weekly #160
  15. 15 AIGC Weekly #159 新年快乐
宝玉的分享 宝玉的分享
06:25
  1. 1 DeepSeek 的 10 万亿美元大战略
  2. 2 来自 Codex 官方团队的分享：如何把 Codex 用到极致
  3. 3 为什么我不“凭感觉编程”
  4. 4 创始人手册：打造 AI 原生初创公司
  5. 5 Forward Deployed Engineer：AI 时代的新宠岗位，到底干什么？
  6. 6 AI 时代到底该怎么管一个工程团队
  7. 7 为什么资深开发者讲不清自己的专业能力
  8. 8 Codex 的野心，MCP 和 Skill 的下一步
  9. 9 机器人的终局：英伟达 Jim Fan 宣告 VLA 时代结束，WAM 登场
  10. 10 裁员潮将持续，直到我们学会发掘 AI 的商业价值
  11. 11 深度拆解：AI Agent Harness 的构造
  12. 12 使用 Claude Code：HTML 难以置信的奇效
  13. 13 Anthropic 兄妹 Dario Amodei 和 Daniela Amodei 最新对话：Claude 为什么一直限速？
  14. 14 Boris Cherny：Claude Code 之后，写代码正在变成“管理 Agent”
  15. 15 大多数公司根本没有为 AI 做好准备
OReilly Radar OReilly Radar
06:25
  1. 1 Context as Code
  2. 2 Radar Trends to Watch: June 2026
  3. 3 AI Sovereignty and the Architecture of Participation
  4. 4 SaaS Is Not Dead Yet
  5. 5 Open Source Ecosystems
  6. 6 Your AI Agent Already Forgot Half of What You Told It
  7. 7 Get a Good Return on Your AI Investments
  8. 8 Agent Skills
  9. 9 Who Authorized That? The Delegation Problem in Multi-Agent AI
  10. 10 This Week in AI: Rethinking the Agent Harness
  11. 11 The Agentic P&L: Beyond the Empire of Headcount
  12. 12 The Agent Stack Bet
  13. 13 When an Agent Deletes the Production Database
  14. 14 AI Artifact Catalogs: Durable Standards Worth Institutional Investment
  15. 15 Agent Skills Work but the Research Shows Most Teams Are Building Them Wrong
4G Spaces 4G Spaces
06:25
  1. 1 2016 年，我做过一次 AI 写代码创业
  2. 2 风险分配框架
  3. 3 财务自由后做些什么
  4. 4 我的量化哲学和策略
  5. 5 AI 创业的一点思考
  6. 6 深度学习 Meetup 总结
  7. 7 技术管理猪鸡-1 开篇
  8. 8 编程珠玑番外篇-Q 协程的历史，现在和未来
  9. 9 编程珠玑番外篇-P PostScript 语言里的珠玑
  10. 10 编程珠玑番外篇-O 中间语言和虚拟机漫谈
Last Week in AI Last Week in AI
06:25
  1. 1 Last Week in AI #341 - Musk loses to OpenAI, Google's IO updates, OpenAI solves Erdős
  2. 2 LWiAI Podcast #246 - Gemini 3.5 + Omni, Musk Loses, OpenAI vs Erdős
  3. 3 LWiAI Podcast #245 - TML-Interaction, Claude For Legal, Sam Altman on Stand
  4. 4 Last Week in AI #340 - OpenAI vs Musk + Microsoft, DeepSeek v4, Vision Banana
  5. 5 LWiAI Podcast #243 - GPT 5.5, DeepSeek V4, AI safety sabotage
  6. 6 LWiAI Podcast #242 - ChatGPT Images 2.0, Qwen 3.6 Max, Kimi-K2.6
  7. 7 LWiAI Podcast #238 - GPT 5.4 mini, OpenAI Pivot, Mamba 3, Attention Residuals
  8. 8 Last Week in AI #339 - DLSS 5, OpenAI Superapp, MiniMax M2.7
  9. 9 LWiAI Podcast #237 - Nemotron 3 Super, xAI reborn, Anthropic Lawsuit, Research!
  10. 10 Last Week in AI #338 - Anthropic sues Trump, xAI starting over, Iran AI Fakes
  11. 11 LWiAI Podcast #236 - GPT 5.4, Gemini 3.1 Flash Lite, Supply Chain Risk
  12. 12 Last Week in AI #337 - Anthropic Risk, QuitGPT, ChatGPT 5.4
  13. 13 LWiAI Podcast #235 - Sonnet 4.6, Deep-thinking tokens, Anthropic vs Pentagon
  14. 14 Last Week in AI #336 - Sonnet 4.6, Gemini 3.1 Pro, Anthropic vs Pentagon
  15. 15 LWiAI Podcast #234 - Opus 4.6, GPT-5.3-Codex, Seedance 2.0, GLM-5
AI开发者de频道 文章列表 AI开发者de频道 文章列表
06:25
  1. 1 • 如何实现ASR，多角色语音合成TTS？
  2. 2 • 翻译Demo Streaming 版
  3. 3 • 使用 Gradio + vLLM 搭建中英翻译应用
  4. 4 • 10个问题快速了解 Gradio
  5. 5 • Gradio AI演示程序入门教程
  6. 6 • OpenAI最新开源模型 GPT-OSS 本地部署实测
  7. 7 • Phi-4-multimodal-instruct登顶语音识别榜
  8. 8 • OpenR1共学专题：推理训练数据制作
  9. 9 • OpenR1共学专题：复现 DeepSeek-R1 (共学介绍)
  10. 10 • Open-R1：对 DeepSeek-R1 的完全开源再现（翻译）
  11. 11 • 搞懂MoE:MoE模型技术对比（Mixtral，Qwen2-MoE，DeepSeek-v3）
  12. 12 • 搞懂MoE:从概念到代码全给你整明白
  13. 13 • 性能实测：顶流开源vs顶流闭源
  14. 14 • LlamaIndex AI开发实践共学专题
  15. 15 • 2024年LLM进展回顾（Ollama视角）
Lei Mao's Log Book Lei Mao's Log Book
06:25
  1. 1 Pacific Commons Linear Park 徒步
  2. 2 Pacific Commons Linear Park
  3. 3 2026 San Jose Half Marathon 竞赛
  4. 4 Mountain View Shoreline Park
  5. 5 目标
  6. 6 Mountain View Shoreline Park 徒步
  7. 7 PyTorch AOTInductor Hybrid Lowering
  8. 8 Carquinez Strait Regional Shoreline
  9. 9 Carquinez Strait Regional Shoreline 徒步
  10. 10 脸庞
  11. 11 PyTorch Triton Kernel Transparent Tracing and Compilation
  12. 12 PyTorch Fake Export
  13. 13 2026 Wild and Scenic Film Festival 参观
  14. 14 2026 Wild and Scenic Film Festival
  15. 15 2026 BRAIN Foundation 10K 竞赛
Google AI Blog Google AI Blog
06:25
  1. 1 Generative AI to quantify uncertainty in weather forecasting
  2. 2 AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
  3. 3 Computer-aided diagnosis for lung cancer screening
  4. 4 Using AI to expand global access to reliable flood forecasts
  5. 5 ScreenAI: A visual language model for UI and visually-situated language understanding
  6. 6 SCIN: A new resource for representative dermatology images
  7. 7 MELON: Reconstructing 3D objects from images with unknown poses
  8. 8 HEAL: A framework for health equity assessment of machine learning performance
  9. 9 Cappy: Outperforming and boosting large multi-task language models with a small scorer
  10. 10 Talk like a graph: Encoding graphs for large language models
  11. 11 Chain-of-table: Evolving tables in the reasoning chain for table understanding
  12. 12 Health-specific embedding tools for dermatology and pathology
  13. 13 Social learning: Collaborative learning with large language models
  14. 14 Croissant: a metadata format for ML-ready datasets
  15. 15 Google at APS 2024
Quanta Magazine Quanta Magazine
06:25
  1. 1 Entanglement Builds Space-Time. Now “Magic” Gives It Gravity.
  2. 2 The Dirt That Refused To Die
  3. 3 Key Chemistry Question Answered, No Quantum Computer Required
  4. 4 How We See the Beautiful, Violent Sun
  5. 5 When Quiet Undersea Volcanoes Turn Disruptive
NVIDIA Technical Blog NVIDIA Technical Blog
06:25
  1. 1 Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA
  2. 2 Deploy Self-Evolving Agents for Faster, More Secure Research with a Hermes Agent and NVIDIA NemoClaw
  3. 3 Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2
  4. 4 Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark
  5. 5 How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo
  6. 6 Develop Physical AI Reasoning, World, and Action Models with NVIDIA Cosmos 3
  7. 7 Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security
  8. 8 NVIDIA Vera CPU Sets a New Standard for Agentic Workloads in AI Factories
  9. 9 NVIDIA DSX OS Delivers Open, Modular Software for Operating AI Factories at Scale
  10. 10 DynoSim: Simulating the Pareto Frontier
  11. 11 How to Automate AI Model Documentation with the NVIDIA MCG Toolkit
  12. 12 Run Step 3.7 Flash on NVIDIA GPUs with Enterprise-Ready Multimodal AI
  13. 13 NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes
  14. 14 NVIDIA Blackwell Sets STAC-AI Record for LLM Inference in Finance
  15. 15 What’s New for Game Developers in NVIDIA RTX: DLSS 4.5 for UE5 and Multilingual AI Characters
Stephen Wolfram Writings Stephen Wolfram Writings
06:25
  1. 1 Making Wolfram Tech Available as a Foundation Tool for LLM Systems
  2. 2 What Ultimately Is There? Metaphysics and the Ruliad
  3. 3 P vs. NP and the Difficulty of Computation: A Ruliological Approach
  4. 4 What Is Ruliology?
  5. 5 Instant Supercompute: Launching Wolfram Compute Services
  6. 6 What’s Special about Life? Bulk Orchestration and the Rulial Ensemble in Biology and Beyond
  7. 7 The Ruliology of Lambdas
  8. 8 “I Have a Theory Too”: The Challenge and Opportunity of Avocational Science
  9. 9 New Features Everywhere: Launching Version 14.3 of Wolfram Language & Mathematica
  10. 10 What If We Had Bigger Brains? Imagining Minds beyond Ours
  11. 11 What Can We Learn about Engineering and Innovation from Half a Century of the Game of Life Cellular Automaton?
  12. 12 Towards a Computational Formalization for Foundations of Medicine