AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

2440历史快讯
140开源工具
27当前结果
08 月 10 日 昨日快讯

InfoQ AI ML Data Engineering:Presentation: Leveraging Adversary Emulation for GenAI Red Teaming

原文摘要:Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explai 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

08 月 07 日 2026-08-07 快讯

InfoQ AI ML Data Engineering:Presentation: Rewriting All of Spotify's Code Base, All the Time

原文摘要:Jo Kelly-Fenton and Aleksandar Mitic explain how Spotify created "Honk," an AI coding agent, to handle complex fleet-wide codebase migrations. They share key architectural insights 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

08 月 04 日 2026-08-04 快讯

InfoQ AI ML Data Engineering:Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Te…

原文摘要:Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity framework designed to help engineerin 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

07 月 28 日 2026-07-28 快讯

InfoQ AI ML Data Engineering:AWS Launches Amazon GuardDuty Investigation Agent to Automate Threat Triage

原文摘要:AWS released a public preview of the GuardDuty investigation agent, which correlates findings, 90-day activity logs, and resource topologies into structured reports with risk ratin 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

07 月 24 日 2026-07-24 快讯

InfoQ AI ML Data Engineering:Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture …

原文摘要:Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He shares how autonomous data products act like containers for 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

07 月 21 日 2026-07-21 快讯

InfoQ AI ML Data Engineering:Presentation: Engineering AI for Creativity and Curiosity on Mobile

原文摘要:Bhavuk Jain discusses translating foundational AI into scalable mobile products. He shares the engineering challenges behind AI Wallpapers and Circle to Search, detailing how to im 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

07 月 19 日 2026-07-19 快讯

InfoQ AI ML Data Engineering:Google's AlphaEvolve Reaches General Availability with Evolutionary Code Optimization as a S…

原文摘要:Google's AlphaEvolve reached general availability on the Gemini Enterprise Agent Platform, turning the DeepMind research project into an evolutionary code optimization service. Eva 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

07 月 10 日 2026-07-10 快讯

InfoQ AI ML Data Engineering:How Datadog Used Claude and Cursor for Test-Driven Production Migration

原文摘要:In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while evolving a critical production system using AI to overcome ha 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 30 日 2026-06-30 快讯

InfoQ AI ML Data Engineering:Presentation: Trustworthy Productivity: Securing AI-Accelerated Development

原文摘要:Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct l 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Microsoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix

原文摘要:Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using A 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 29 日 2026-06-29 快讯

InfoQ AI ML Data Engineering:AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds

原文摘要:GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of 开发者 say they code faster, overall software delivery has not accelerated due to downstream te 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 22 日 2026-06-22 快讯

InfoQ AI ML Data Engineering:AWS Graviton5 Reaches General Availability with 192 Cores and Formally Verified VM Isolation

原文摘要:AWS made Graviton5-powered EC2 M9g and M9gd instances generally available with 192 ARM cores, formally verified VM isolation via the Nitro Isolation Engine, and DDR5-8800 memory. C 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 18 日 2026-06-18 快讯

InfoQ AI ML Data Engineering:Presentation: Write-Ahead Intent Log: A Foundation for Efficient CDC at Scale

原文摘要:Vinay Chella and Akshat Goel discuss the challenges of running traditional CDC across heterogeneous databases during peak order traffic. They explain how Debezium hit limits under 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 11 日 2026-06-11 快讯

InfoQ AI ML Data Engineering:OpenAI's GPT-5.5 and Codex Reach General Availability on Amazon Bedrock

原文摘要:OpenAI's GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock, one month after OpenAI revised its exclusive Azure arrangement. Pricing matches OpenAI's direct 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 10 日 2026-06-10 快讯

InfoQ AI ML Data Engineering:Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at …

原文摘要:Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares ho 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 08 日 2026-06-08 快讯

InfoQ AI ML Data Engineering:Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey

原文摘要:Senior Solution Architect Viktor Vedmich shares how engineering leaders can maximize application performance using Valkey. He discusses the open-source Redis fork's 100% API compat 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

06 月 02 日 2026-06-02 快讯

InfoQ AI ML Data Engineering:Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

原文摘要:In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank F 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 27 日 2026-05-27 快讯

InfoQ AI ML Data Engineering:Sarang Kulkarni on Lessons from Building Deep Research Agents in Production

原文摘要:Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structu 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 25 日 2026-05-25 快讯

InfoQ AI ML Data Engineering:Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research

原文摘要:Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 23 日 2026-05-23 快讯

InfoQ AI ML Data Engineering:Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery

原文摘要:At the Apache Iceberg Summit last month, Google announced new interoperability features for Apache Iceberg in BigQuery. The preview of the serverless Iceberg REST catalog lets team 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 14 日 2026-05-14 快讯

InfoQ AI ML Data Engineering:Presentation: Accelerating LLM-Driven 开发者 Productivity at Zoox

原文摘要:Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Ch…

原文摘要:Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that pr 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 11 日 2026-05-11 快讯

InfoQ AI ML Data Engineering:Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning

原文摘要:Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconnections between datasets, models 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 10 日 2026-05-10 快讯

InfoQ AI ML Data Engineering:MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community Edition

原文摘要:Oracle has announced the general availability of MySQL 9.7.0, marking the start of a new 9.7 LTS release series and the first major one since MySQL 8.4. The release arrives amid co 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 09 日 2026-05-09 快讯

InfoQ AI ML Data Engineering:Cloudflare Ships Dynamic 工作流, Bringing Durable Execution to Per-Tenant and Per-Agent C…

原文摘要:Cloudflare released Dynamic 工作流, an MIT-licensed library that extends its durable execution engine so 工作流 code can differ per tenant, agent, or request at runtime. Built 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

05 月 08 日 2026-05-08 快讯

InfoQ AI ML Data Engineering:Presentation: Leadership in AI-Assisted Engineering

原文摘要:Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI Divide" - where 95% of pilot 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:How GitHub Is Securing Agentic 工作流 in Modern CI CD Systems

原文摘要:GitHub detailed a defense-in-depth security architecture for agentic 工作流 in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims t 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。