The article provides a free compiled resource containing 190 essential AI Agent papers—from fundamentals to cutting‑edge topics—along with 321 Google‑released implementation cases and 500 open‑source agent applications, all with source code to help beginners and researchers quickly understand the field and reproduce results.
This article compiles a curated reading list of foundational and recent research papers—from the original Transformer to chain‑of‑thought, mixture‑of‑experts, and reinforcement‑learning studies—that together explain the breakthroughs behind DeepSeek‑R1 and guide readers through the technical evolution of modern large language models.
Kuaishou has achieved a significant milestone with 7 papers accepted at AAAI 2025, covering diverse AI research areas including video processing, recommendation systems, and image restoration, demonstrating the company's strong research capabilities in artificial intelligence.
KuaiShou presents 8 papers at CVPR 2024, covering AI advancements in computer vision, video quality assessment, and 3D generation, showcasing cutting-edge research in machine learning and multimedia technologies.
Ilya Sutskever, former OpenAI chief scientist, shared a curated list of 27 seminal AI research papers—including the Annotated Transformer, Attention Is All You Need, and Deep Residual Learning—with links, claiming mastering them covers roughly 90% of today’s essential artificial‑intelligence knowledge.
This curated reading list compiles essential papers on AI agents, task planning, hallucination mitigation, multimodal models, image/video generation, foundational LLM research, open‑source large models, fine‑tuning techniques, and performance optimization, providing a comprehensive roadmap for anyone aiming to master modern generative AI.
The 2021 Alibaba Mama Technology review, covering its May launch and 237‑day output of 50 technical articles on advertising algorithms, system engineering, intelligent creativity, risk control, plus two open‑source projects and numerous SIGIR, KDD, CIKM and CVPR papers, highlights data‑science, marketing series and engineer‑growth stories.
This week’s developer roundup covers Google’s Flutter 2 launch, JD Cloud’s next‑gen server, Apache Flink 1.12.2 bug‑fix release, sidewalk robots classified as pedestrians, Microsoft Mesh mixed‑reality platform, Facebook’s self‑supervised SEER model, plus recent AI research from EMNLP and COLING conferences.
iQIYI’s 2019 technical highlights recap its most‑read articles, influential media pieces, award‑winning papers, major AI competitions, and a series of technical salons covering cloud architecture, video recognition, recommendation, mobile engineering, and voice interaction, showcasing the company’s innovation across entertainment and AI.
A curated collection of Reddit‑highlighted 2019 AI research papers, covering theoretical advances, computer‑vision breakthroughs, unsupervised learning methods, and time‑series forecasting, with summaries, key contributions, and direct links to each paper.
Alibaba secured 11 paper acceptances at IJCAI 2017, showcasing advances in visual odometry, facade parsing, object tracking, optical flow, co‑saliency detection, zero‑shot learning, factorization machines, recommendation, multitask similarity learning, and AI applications in e‑commerce, reflecting its growing AI research footprint.
This article presents a curated collection of seminal papers and resources covering operating systems, virtual machines, system design principles, distributed algorithms, overlay networking, and debugging techniques to help engineers deepen their understanding of system architecture and advance beyond growth bottlenecks.
