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AntTech
AntTech
Jun 15, 2025 · Artificial Intelligence

21 Ant Research Papers Shaping CVPR 2025: AI Image & Video Generation Breakthroughs

The Interactive Intelligence Lab of Ant Technology Research Institute presented 21 accepted CVPR 2025 papers covering visual generation, editing, 3D vision, digital humans and multimodal AI, highlighting tools such as MagicQuill, Lumos, Aurora, FLARE, LeviTor, MangaNinja, AniDoc, Mimir, AvatarArtist, DiffListener, MotionStone, TensorialGaussianAvatars, DualTalk, CompreCap and Uni-AD.

CVPR2025Computer VisionMultimodal Models
0 likes · 20 min read
21 Ant Research Papers Shaping CVPR 2025: AI Image & Video Generation Breakthroughs
JD Retail Technology
JD Retail Technology
Apr 22, 2025 · Artificial Intelligence

Generative Large‑Model Architecture for JD Advertising: Practices, Challenges, and Optimization

JD’s advertising platform replaces rule‑based recall with a generative large‑model pipeline that unifies e‑commerce knowledge, multimodal user intent, and semantic IDs across recall, coarse‑ranking, fine‑ranking and creative optimization, while meeting sub‑100 ms latency and sub‑¥1‑per‑million‑token cost through quantization, parallelism, caching, and joint generative‑discriminative inference, delivering double‑digit performance gains and paving the way for domain‑specific foundation models.

Distributed SystemsLarge Modelsadvertising
0 likes · 20 min read
Generative Large‑Model Architecture for JD Advertising: Practices, Challenges, and Optimization
DataFunTalk
DataFunTalk
Apr 10, 2025 · Artificial Intelligence

Google Cloud Next 25: Comprehensive Overview of New AI Models, Tools, and Protocols

Google Cloud Next 25 unveiled a wealth of AI advancements, including five new generative models, a groundbreaking Agent‑to‑Agent protocol, upgraded AI‑powered developer tools, expanded AI applications across Workspace, and the high‑performance Ironwood TPU for inference, offering developers a clear view of the latest AI landscape.

AI modelsAgent protocolGemini
0 likes · 14 min read
Google Cloud Next 25: Comprehensive Overview of New AI Models, Tools, and Protocols
Cognitive Technology Team
Cognitive Technology Team
Mar 22, 2025 · Information Security

Cryptographic Watermarking for Generative AI: Techniques, Challenges, and Recent Advances

The article examines how cryptographic watermarking can secure AI‑generated content by embedding robust, undetectable, and unforgeable signatures, reviews existing methods such as SynthID and Video Seal, and discusses recent research using pseudo‑random codes, error‑correcting codes, and diffusion inversion to improve watermark resilience.

AI watermarkingLDPCcryptography
0 likes · 9 min read
Cryptographic Watermarking for Generative AI: Techniques, Challenges, and Recent Advances
DataFunSummit
DataFunSummit
Jan 24, 2025 · Artificial Intelligence

Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned

With the rise of LLM‑based generative AI, this article examines the emerging GenBI (Generative Business Intelligence) paradigm, detailing why self‑serving analytics are needed, the progress of Text‑to‑SQL, an LLM‑driven agent architecture, practical AWS Bedrock implementation, technical choices, lessons learned, and future outlook.

AWS BedrockAgentic AIBusiness Intelligence
0 likes · 18 min read
Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned
ZhongAn Tech Team
ZhongAn Tech Team
Jan 19, 2025 · Artificial Intelligence

Weekly AI Digest Issue 11: Recommendation Algorithms, Video Generation Advances, and AGI Research

This issue of the weekly AI digest explores Xiaohongshu’s NoteLLM recommendation system, compares Chinese text generation in video AI across major platforms, highlights Alibaba’s Tongyi Wanxiang breakthroughs, discusses Keras founder François Chollet’s new AGI‑focused lab, and reviews Google’s Veo 2 and Imagen‑3 advancements.

AGIAIRecommendation systems
0 likes · 11 min read
Weekly AI Digest Issue 11: Recommendation Algorithms, Video Generation Advances, and AGI Research
DataFunSummit
DataFunSummit
Jan 11, 2025 · Artificial Intelligence

Generative AI Applications, MLOps, and LLMOps: A Comprehensive Overview

This article presents a detailed overview of generative AI lifecycle management, covering practical use cases such as email summarization, the roles of providers, fine‑tuners and consumers, MLOps/LLMOps processes, retrieval‑augmented generation, efficient fine‑tuning methods like PEFT, and Amazon Bedrock services for model deployment and monitoring.

Amazon BedrockLLMOpsMLOps
0 likes · 14 min read
Generative AI Applications, MLOps, and LLMOps: A Comprehensive Overview
Architecture Digest
Architecture Digest
Jan 7, 2025 · Artificial Intelligence

The Impact of AI on Global Employment and Layoffs: Insights from a McKinsey Report

The article examines how AI, especially generative AI, is accelerating global layoffs, citing a McKinsey study that predicts 50% of occupations could be automated by 2045, outlines compensation norms for layoffs, and discusses the disproportionate threat to high‑salary, highly educated knowledge workers.

AIMcKinseyeconomy
0 likes · 6 min read
The Impact of AI on Global Employment and Layoffs: Insights from a McKinsey Report
AntTech
AntTech
Jan 3, 2025 · Artificial Intelligence

2024 Generative Large Model Security Assessment White Paper Released at CCF China Data Conference

The 2024 Generative Large Model Security Assessment White Paper, jointly authored by the Chinese Academy of Sciences, the Ministry of Public Security's Third Research Institute, and Ant Group's Ant Security Lab, was unveiled at the inaugural CCF China Data Conference, offering a comprehensive review of model risks, ethical concerns, and evaluation methods to guide research, industry practice, and policy making.

AI ethicsant securitygenerative AI
0 likes · 5 min read
2024 Generative Large Model Security Assessment White Paper Released at CCF China Data Conference
DevOps
DevOps
Dec 23, 2024 · Artificial Intelligence

Understanding AIGC Agents: Definition, Core Features, Underlying Logic, and Commercial Applications

This article explains what AIGC agents are, outlines their four main characteristics, describes the underlying transformer‑based architecture, dual‑stage learning, probabilistic generation and feedback optimization, and explores their current and future commercial use cases across content creation, knowledge bases, customer service, internal operations, and product design.

AIGCArtificial IntelligenceBusiness Applications
0 likes · 14 min read
Understanding AIGC Agents: Definition, Core Features, Underlying Logic, and Commercial Applications
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Dec 17, 2024 · Cloud Native

Recap of Kubernetes Community Day 2024 Jakarta: Generative AI, eRDMA, Container Security, and Observability

The Kubernetes Community Day held in Jakarta on November 30, 2024 featured Alibaba Cloud experts presenting best‑practice sessions on scaling generative AI workloads, eRDMA network acceleration, container image security, and OpenTelemetry‑based observability within the ACK Kubernetes platform.

Container SecurityKubernetescloud-native
0 likes · 6 min read
Recap of Kubernetes Community Day 2024 Jakarta: Generative AI, eRDMA, Container Security, and Observability
DevOps
DevOps
Dec 10, 2024 · Artificial Intelligence

Key Generative AI Trends to Watch in 2024

The article outlines the major 2024 generative AI trends—including realistic expectations, multimodal models, smaller open‑source LLMs, GPU shortages, easier model optimization, custom local pipelines, stronger virtual agents, regulatory and ethical challenges, and the rise of shadow AI—while explaining their technical and business implications.

AI TrendsAI governancegenerative AI
0 likes · 17 min read
Key Generative AI Trends to Watch in 2024
Architecture and Beyond
Architecture and Beyond
Nov 30, 2024 · Artificial Intelligence

Scalable Engineering Architecture for AIGC Products: Principles, Design, and Implementation

This article examines why scalability is a core requirement for AIGC products and presents a comprehensive engineering architecture—including modular design, distributed systems, resource scheduling, queue management, and layered architecture—to achieve high performance, cost efficiency, and long‑term maintainability.

AIGCDistributed Systemsarchitecture
0 likes · 20 min read
Scalable Engineering Architecture for AIGC Products: Principles, Design, and Implementation
AntTech
AntTech
Nov 29, 2024 · Artificial Intelligence

AI Industry Trends in 2024: From Global Slowdown to Chinese Market Acceleration

In 2024, despite a global slowdown in generative AI hype, China's AI market accelerates with rapid application deployments, emerging industries like embodied intelligence and autonomous driving, and a maturing ecosystem that shifts AI from hype to tangible industrial impact.

Artificial IntelligenceChinaDigital Transformation
0 likes · 11 min read
AI Industry Trends in 2024: From Global Slowdown to Chinese Market Acceleration
Architecture and Beyond
Architecture and Beyond
Nov 23, 2024 · Artificial Intelligence

A Comprehensive Overview of AIGC Engineering Architecture and Its Core Roles

This article examines the AIGC engineering architecture, detailing its data, model, fine‑tuning, inference, application, and monitoring layers, and explains the distinct responsibilities and challenges of application engineers, algorithm engineers, and “alchemy” specialists, highlighting how this structured approach accelerates generative AI productization.

AI deploymentAIGCEngineering Architecture
0 likes · 24 min read
A Comprehensive Overview of AIGC Engineering Architecture and Its Core Roles
JD Tech
JD Tech
Nov 15, 2024 · Artificial Intelligence

Reliable Feedback Network (RFNet) for Improving Usable Advertising Image Generation

The paper proposes a multimodal Reliable Feedback Network (RFNet) and a consistency‑regularized fine‑tuning method (RFFT) that dramatically increase the proportion of usable advertising images generated by diffusion models while preserving visual appeal, and introduces the large‑scale RF1M dataset for training and evaluation.

Image GenerationRFNetadvertising images
0 likes · 9 min read
Reliable Feedback Network (RFNet) for Improving Usable Advertising Image Generation
Python Programming Learning Circle
Python Programming Learning Circle
Nov 14, 2024 · Artificial Intelligence

Python Overtakes JavaScript as Top Language on GitHub in 2024 Octoverse Report

The 2024 GitHub Octoverse report reveals that Python has surpassed JavaScript to become the most popular language on the platform, driven by the surge in generative AI, data‑science workloads, and a rapid increase in public AI projects and developer diversity.

GitHubJavaScriptPython
0 likes · 6 min read
Python Overtakes JavaScript as Top Language on GitHub in 2024 Octoverse Report
DataFunTalk
DataFunTalk
Nov 13, 2024 · Artificial Intelligence

Baidu World 2024: Li Yanhong’s Keynote on Large‑Model Advances, iRAG, Intelligent Agents and the No‑Code Tool “Miaoda”

At the 2024 Baidu World conference, CEO Li Yanhong presented a one‑hour keynote outlining Baidu’s recent breakthroughs in large‑model technology—including the retrieval‑augmented iRAG system, the rise of intelligent agents, and the launch of the no‑code “Miaoda” tool—highlighting their industrial applications and future impact.

Artificial IntelligenceIntelligent AgentsLarge Models
0 likes · 23 min read
Baidu World 2024: Li Yanhong’s Keynote on Large‑Model Advances, iRAG, Intelligent Agents and the No‑Code Tool “Miaoda”