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  1. The Elec
    AI score60

    FuriosaAI Completes KRW 820 Billion Series D Funding at Valuation of Approximately KRW 3.8 Trillion

    South Korean AI chip company FuriosaAI announced on October 29 that it had completed a KRW 820 billion Series D funding round. Due to strong demand from domestic and international investors, the fundraising target was raised from the original KRW 450 billion to KRW 750 billion to KRW 820 billion, with a post-money valuation of approximately KRW 3.8 trillion. The South Korean government's National Growth Fund contributed KRW 370 billion as the largest investor, while overseas investors include Infinitum, which previously co-led Groq's $650 million funding round, and Singapore-based QUDA Capital Partners. The funds will mainly be used to expand supply capacity for the second-generation NPU Renegade (RNGD) and to jointly develop a third-generation AI accelerator for the hyperscale data center market with U.S.-based Broadcom.

    Same story · 2 reports

    #Industry news#English text is being prepared.

  2. Intelligent Manufacturing Network
    AI score38

    Lingyan Technology Completes Tens of Millions of Yuan Seed Round Financing, Making Bionic Dexterous Faces for Humanoid Robots

    Hangzhou Lingyan Technology has completed tens of millions of yuan in Seed and Seed+ round financing. The Seed round was invested by Yingdong Capital and Zhejiang Torch Center, and the Seed+ round was invested by Yida Capital, Plum Ventures, and Linglu Capital. The funds will be used for product iteration, core component R&D, algorithm platform development, and team expansion. Its core product FaceSoul Agent adopts a cable-driven solution, has achieved 32 facial degrees of freedom, and controls interaction latency within 10 milliseconds. A 46-degree-of-freedom version is planned for launch by the end of the year. The product has not yet been officially released, but on the B-end it has already gained favor with Hangzhou Tourism, a leading communications company, and multiple chain coffee brands.

    #Industry news#Embodied AI

  3. The Elec
    AI score25

    Emro to Build AI Procurement Automation Agent for GS Caltex

    Emro has signed a contract with GS Caltex to develop an AI procurement automation agent that will handle approximately 2,700 small-value material purchases per year for the latter. The agent will analyze procurement requests and complete the entire process from requesting quotations and evaluating bids to selecting suppliers and issuing purchase orders; cases requiring additional review will be handed over to procurement staff for manual processing. The project is based on Emro's self-developed AI Studio platform and will be integrated with GS Caltex's existing procurement system, with plans to expand to other procurement operations beyond small-value purchases in the future.

    #Industry news#Agents#English text is being prepared.

  4. Intelligent Manufacturing Network
    AI score52

    CASBOT completes a funding round in the hundreds of millions of yuan (Series A++), with over 400 million yuan in shoe-making robot orders on hand

    CASBOT recently completed a funding round in the hundreds of millions of yuan (Series A++), jointly invested by Zhilai Investment, Yonghua Investment, Maotian Investment, Yuanhe Chenkun, Guoke Kezhi, Luning Investment and others, with the funds used for mass production and delivery of products, research and development of embodied brain technology, and market expansion. The company said that the total value of embodied shoe-making robot orders on hand this year has exceeded 400 million yuan, with equipment production scheduling reaching thousands of units. Its self-developed embodied large model CAS-brain and the lightweight CASBOT PA perception-action model, the latter of which is planned to be open-sourced in the second half of 2027.

    #Industry news#Embodied AI#English text is being prepared.

  5. The Elec
    AI score67

    Alphabet's Q3 2026 cloud revenue grew 103% year-over-year, with free cash flow at negative $9.07 billion

    Alphabet announced its Q3 2026 earnings: revenue of $127.6 billion came in below analysts' expectations of $128.2 billion, while Google Cloud revenue grew 103% year-over-year to $30.71 billion. Net profit fell about 25% year-over-year to $26.17 billion, and free cash flow was negative $9.07 billion, further deteriorating from negative $5.9 billion in the previous quarter, with shares falling nearly 10% after hours. CFO Anat Ashkenazi said capital expenditures will increase significantly in 2027 due to AI technology development, and on the same day Alphabet released its new-generation model Gemini 4 Carbon.

    Same story · 4 reports

    #Industry news#Google

  6. Intelligent Manufacturing Network
    AI score30

    Yanfeng International and the National and Local Joint Humanoid Robot Innovation Center Sign Strategic Cooperation to Jointly Build an Automotive Embodied Intelligence Scenario Data Center

    On October 28, Yanfeng International and the National and Local Joint Humanoid Robot Innovation Center (the National and Local Center) officially signed a strategic cooperation agreement. The two parties will jointly build an automotive industry embodied intelligence scenario data center and an embodied intelligence training demonstration site, and will collaborate on data platform construction, vertical scenario solution development, and joint industry standard building. The two parties completed two-way plaque awarding on site and launched a "two-way empowerment" mechanism to drive humanoid robots from prototype demonstrations to real production line applications in automotive parts manufacturing scenarios.

    #Industry news#Embodied AI

  7. Semiconductor Industry Observer
    AI score38

    Yole Report: AI Is Splitting the PCB Industry into Two Paths: High Growth and Stagnation

    A Yole Group report shows that in 2025 the global PCB industry's revenue was about US$88 billion, with an overall compound annual growth rate of 8.1%, but the AI-related segment's compound annual growth rate reached 45%–70%, while general-purpose boards were nearly stagnant. By 2031, circuit boards with 18 or more layers will grow at an annual rate of 15.7%, while 4–6 layer boards will grow at only 2.3%; servers and data centers' share of PCB demand has already risen from 16% in 2020 to 25%. Copper-clad laminates iterate one generation every 18–24 months; the Vera Rubin platform uses M8 laminate, and the unit price of M9 reaches four times that of M7.

    #Industry news#English text is being prepared.

  8. Intelligent Manufacturing Network
    AI score6

    The 2nd New Energy Smart Station Construction Conference 2026 will be held in Suzhou on November 26-27

    CPEM National Power Equipment Management Network will hold the 2nd New Energy Smart Station Construction Conference 2026 and the New Energy Station Unattended Technology Exchange Conference in Suzhou, Jiangsu on November 26-27, 2026. The 2026 New Energy Industry Intelligent Inspection Conference and the "New Intelligence Award" ceremony will be held concurrently, with a conference scale of 500+ participants. The conference topics cover the top-level design of smart stations, unattended operation models, centralized control centers, UAV/robot/satellite remote sensing intelligent inspection, AI power forecasting and fault diagnosis, cybersecurity, and remote control verification, among other directions.

    #Industry news#Embodied AI

  9. Semiconductor Industry Observer
    AI score45

    Siemens Fuse EDA AI Agent: Using Physical Verification to Backstop Agentic EDA

    Siemens has launched an intelligent engineering workflow in which the Fuse EDA AI Agent serves as an MCP aggregation layer connecting to Claude Code, autonomously orchestrating 3D-IC electrothermal co-design, linking seven Siemens EDA tools across nine stages, requiring 100–200 iterations and a total duration exceeding 12 hours. Every decision in this workflow is verified by a deterministic, physics-based EDA solver engine; a single round can cover more than 200 to 500 design points, tool configuration efficiency is improved by up to 20x, manual workload is reduced by as much as 95%, and the number of evaluable design options reaches up to 50x that of traditional manual workflows.

    #Industry news#Agents#English text is being prepared.

  10. Semiconductor Industry Observation
    AI score21

    Intel and Tencent Cloud Launch New-Generation Cloud Instances Based on Xeon 6+ to Accelerate Agentic AI Deployment

    At the 2026 Tencent Global Digital Ecosystem Summit, Intel and Tencent Cloud launched new-generation cloud instances based on Intel Xeon 6+ processors, delivering an overall performance improvement of more than 30% over the previous generation. Xeon 6+ offers up to 288 efficiency cores, and a single processor can support the stable deployment of more than 1,000 agents, while also introducing Intel TDX for hardware-level isolation. The two parties also leveraged IAA to bring 2M-page decompression latency down to the microsecond level, accelerating average time by 16x, and CubeSandbox can support 350 concurrent sandbox creation requests on a single machine.

    #Product updates#Agents#English text is being prepared.

  11. Semiconductor Industry Observer
    AI score30

    AI Power Supply in the Compute Race: How Low-Voltage GaN Supports 800V DC Architecture

    As AI processor power consumption rises from a few hundred watts to 2 kilowatts or even 3 kilowatts, low-voltage GaN is becoming a key technology for the final-stage conversion of AI power supplies. EPC CEO Alex Lidow said that GaN transistors rated at 40V and below have surpassed silicon MOSFETs in all performance metrics; Cyntec's 1kW, 48V-to-12V module can replace 8 silicon-based superjunction MOSFETs with just 4 GaN devices, and its switching frequency can exceed 1MHz. After AI data centers shift to 800V DC power distribution, low-voltage GaN will still need co-design with magnetic components, packaging, and thermal management to unlock its value.

    #Industry news#English text is being prepared.

  12. The New Stack
    AI score24

    The Identity Authentication Behind OpenAI's 120 Million Weekly Active Users: How Ory Supports Agent-Level Traffic

    At DevDay, OpenAI announced that ChatGPT's weekly active users have surpassed 120 million, with its identity authentication supported by Ory's decoupled OAuth2/OIDC infrastructure. The article compares the architectural differences between traditional monolithic identity SaaS and self-hosted composable IAM, noting that agent workloads will cause non-linear growth in token validation volume, requiring stateless verification at the edge using JWKS caching.

    #Industry news#Agents#English text is being prepared.

  13. The New StackOpinion
    AI score57

    AI agents need to be replaceable without losing approved business operations

    The New Stack published an article discussing how to safely take over work after an AI agent crashes: before dispatching a refund, the application first writes the amount, authorization, idempotency key, and status to transactional storage, and the replacement agent inherits the original operation rather than re-reasoning. The article points out that durable execution frameworks such as LangGraph and Temporal can restore progress, but cannot determine whether the payer has already submitted the request; therefore, persistent records must be validated at the tool boundary, and the MCP services of Langfuse and ClickStack should be used to read-only investigate calls with unclear results.

    #Tutorials / practice#Agents#English text is being prepared.

  14. The New Stack
    AI score43

    The AI agent was decommissioned long ago—so why is its access key still alive?

    OWASP ranks the failure to decommission non-human identities as the top risk in its 2025 Top 10, and AWS IAM user access keys do not expire automatically—forgotten keys remain valid until someone manually disables or deletes them. The article presents a three-step governance plan: use CloudQuery queries to find keys that have been unused for more than 90 days and are still active, use OPA policies to block the creation of long-term credentials during the Terraform/OpenTofu plan phase, and set a finite lifecycle for each key.

    #Safety / alignment#Agents#English text is being prepared.

  15. The New StackModel releases
    AI score66

    Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model

    Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.

    Same story · 9 reports

    #Model releases#Speech#Open-source ecosystem

  16. The New StackProduct release
    AI score74

    GitHub releases Copilot Fusion model selection and orchestration system

    GitHub released Copilot Fusion at the Universe conference; the system automatically selects and orchestrates the models used for coding tasks, and it is now generally available. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, less than 2 points behind Claude Code using Opus 5.5 Max, while its average API cost is about half of the latter and its time per task is about 40% lower. Developers only need to choose among three investment levels—Fusion Standard, High, and Max—and enterprise administrators can restrict which models are available and set whether it is the default.

    Same story · 6 reports

    #Product updates#Agents#English text is being prepared.

  17. The New StackProduct release
    AI score75

    Google Opens Android Development Tools to Third-Party Agents Such as Claude Code and Codex

    At the Android Dev Summit, Google announced that Android Studio and the Android CLI are open to third-party coding agents. Bring Your Own Agent now supports more than 40 agents that follow the Agent Client Protocol, including Claude Agent, Codex, and Google's own Antigravity, and has become stable in Android Studio Rabbit 2. The new android preview command lets agents render Jetpack Compose previews in the terminal; Google says it completes UI tasks 77% faster and reduces token usage by up to three times, but did not explain how this was measured. Meanwhile, android device remote lets agents access physical devices in Google's lab. In the demo, Claude Code used LeakCanary to troubleshoot a memory leak and then fixed and retested it on its own; Google says such investigations are nearly twice as fast and use up to 25% fewer tokens. Google also launched Android Bench 2.0 to evaluate how models and agents perform on complex Android tasks.

    #Product updates#Agents#English text is being prepared.

  18. The New StackProduct release
    AI score60

    Anthropic discloses Claude Duet's priority scoring and independent intent verification mechanisms

    Anthropic told The New Stack that Claude Duet is powered by Claude Opus 5.5, can monitor connected applications and handle tasks in the background, and that the company uses an internal scorer to evaluate offline whether its task priority judgments are correct. Anthropic said urgency itself is a subjective judgment, that building evaluations for urgency is imperfect but very helpful, and acknowledged that Duet may misread conversations or misjudge urgency. When performing actions, Duet has a separate set of automated checks extended from the Claude Code auto mode classifier, running independently of the model executing the task, to determine whether actions match user intent; official materials do not state how reliably these checks block out-of-bounds actions, and during the research preview users cannot view or take over each step of its operations in the cloud browser.

    #Product updates#Agents#Anthropic

  19. The New Stack
    AI score41

    The Five-Layer Architecture of AI Agent Sandboxes on Kubernetes

    Running AI agents on Kubernetes requires five layers of sandbox isolation: the isolation layer can use runc, gVisor, or Kata Containers, corresponding to shared kernel, restricted kernel interfaces, and full VM isolation respectively; the node layer requires configuring containerd, KVM, and the guest kernel for the chosen runtime; the access layer uses NetworkPolicy to deny outbound network access by default, issues short-lived credentials per task, and mounts data read-only; the request layer uses RuntimeClass to let agent Pods select the isolated runtime, and factors additional overhead such as the gVisor Sentry and Kata guest kernel into scheduling and quotas.

    #Tutorials / practice#Agents#English text is being prepared.

  20. The New Stack
    AI score48

    GitHub Executive Responds to New Competitor: The World Doesn't Need Another GitHub

    At the Universe '26 conference, GitHub COO Kyle Daigle responded to Entire, a GitHub alternative founded by former CEO Thomas Dohmke, saying, "I don't think the world needs another GitHub"—what developers need is for GitHub to evolve for the agent era. GitHub announced the addition of 4 million CPU cores and 160PB of storage, along with a comprehensive rebuild of its backend infrastructure; it currently serves more than 225 million developers. Dohmke responded that developers clearly need new options, and that Entire aims to make a new home for the community open source, extensible, and distributed across multiple regions worldwide.

    #Industry news#Agents#Open-source ecosystem