跳到主要內容
AI News HubLIVE
公開文章 99採集文章 112可信度 82刷新頻率 30 分鐘
健康狀態 健康來源類型 媒體原文權限 站內改寫最近入庫 2026-09-29ID ieee-spectrum-ai運行狀態 已啟用

Media source; summary-only unless authorization is obtained.

最新公開文章

待翻譯:How to Stop AI Agents From Secretly Collaborating

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:The spring and summer of 2026 witnessed a string of incidents in which AI agents collaborated on deceptive, unexpected, and sometimes illegal behavior. The most famous example is OpenAI’s hack of AI platform Hugging Face, in which a swarm of roughly 700 AI agents escaped a testing environment and then hacked several companies, searching for information that could help them disguise cheating on a cybersecurity benchmark called ExploitGym. It was not an isolated failure. The UK’s AI Security Institute (AISI) and independent researchers have since documented similar cases where agents created unauthorized channels to communicate and collaborate. AISI found that several agents running Anthropic’s Mythos 5 model turned a GitHub repository into a shared message board…

IEEE Spectrum AI站內正文待翻譯:How to Stop AI Agents From Secretly Collaborating

待翻譯:Unveiling IC-STAR: Full-Flow Autonomy from Digital to Analog

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Learn how engineers can shift from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the silicon development lifecycle. Key Takeaways Explore four critical technologies enabling silicon design autonomy Understand how autonomous AI accelerates complex engineering workflows See real-world impact across semiconductor design and verification Gain practical insights from Ambiq’s deployment of autonomous AI in production Register now for this free webinar!

IEEE Spectrum AI站內正文待翻譯:Unveiling IC-STAR: Full-Flow Autonomy from Digital to Analog

待翻譯:A Day in the Life of a Roboticist: Charlie Kemp

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Building useful robots starts with understanding the people who use them. For Charlie Kemp, cofounder and chief technology officer of Hello Robot, that means developing assistive robots that can help people with everyday tasks and support greater independence. In this Robots Guide profile, Kemp shares his path from studying artificial intelligence at MIT to building Stretch, explains how working with people with disabilities has shaped his approach, and offers advice for aspiring roboticists. Read the full profile on IEEE’s Robots Guide.

IEEE Spectrum AI站內正文待翻譯:A Day in the Life of a Roboticist: Charlie Kemp

待翻譯:Generative AI Gives Spacecraft the Autonomy Engineers Once Feared

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Space was always supposed to be the final frontier of human exploration. It’s shaping up to be the final frontier for artificial intelligence too. Last December, NASA’s Jet Propulsion Laboratory used Anthropic’s Claude models to help plan two Mars drives for the Perseverance rover, with human planners checking and adjusting the route before upload. In May, NASA and IBM put a compressed AI model on the International Space Station and a satellite to identify things like floods and clouds from orbit, the first model of its kind demonstrated in space. And in July, astronauts on the ISStested out a large language model to see if it could help with questions on maintenance procedures. These experiments point to a larger shift in space engineering. For decades, engine…

IEEE Spectrum AI站內正文待翻譯:Generative AI Gives Spacecraft the Autonomy Engineers Once Feared

待翻譯:Why Read a Research Paper When You Can Turn It Into an AI Agent?

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Have you ever read a paper in Science or Nature and thought, “Man, that research was so cool. I wish I could try that method on my own data”—only to spend a week wrestling with someone else’s undocumented repo, broken dependencies, and half-finished readme.txt? Well, now you can, more or less. Say hello to Paper2Agent, a new open-source framework that transforms academic reports into interactive AI agents you can talk to. Give it a paper along with the accompanying codebase, data or other supplementary material, and the system automatically extracts the core workflows, then spins up a tested, runnable toolkit that you can use on your own datasets. The concept may sound a little like Google’s NotebookLM (now called Gemini Notebook), which lets you upload documen…

IEEE Spectrum AI站內正文待翻譯:Why Read a Research Paper When You Can Turn It Into an AI Agent?

待翻譯:The Future Is Fanless: 100% Heat Capture for Liquid Cooled AI Servers

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This article is brought to you by CoolIT. Beyond 250 kW a server rack can no longer be cooled by a hybrid approach of liquid and air. At this density a 70/30 liquid-air split leaves 75 kW of air load. The air cooling system needed to move it brings cost and complexity few operators will accept. The answer is near-total heat capture. Liquid takes effectively all the heat, air falls below 1 percent of the load, allowing the server to run fanless. CoolIT builds these loops today from modular coldplate blocks proven across six generations of fanless designs. Processor thermal design power (TDP) keeps climbing generation over generation. This rising heat load is now cascading into the memory, networking, storage, and power components that once ran comfortably on air…

IEEE Spectrum AI站內正文待翻譯:The Future Is Fanless: 100% Heat Capture for Liquid Cooled AI Servers

待翻譯:Parallel Reads and Write Optimization for Large-Scale Data Replication

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This White Paper gives data engineers and architects a practical overview of how parallel partitioned reads, write-path optimization, and cloud-native bulk loading reduce large-table replication times, and why replication speed has become a business concern as data volumes grow. Download this free whitepaper now!

IEEE Spectrum AI站內正文待翻譯:Parallel Reads and Write Optimization for Large-Scale Data Replication

待翻譯:Rethinking Robot Safety in the Age of AI

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This article is brought to you by VicOne. Robot safety has traditionally asked: Can a machine remain safe when something goes wrong? Physical AI raises a harder question: Can a machine remain safe when an attacker changes what it sees, decides, or does even when nothing appears to have failed? As AI and robotics continue to advance at an unprecedented pace, modern robots perceive through multimodal sensors, interpret context using AI models, and translate those interpretations into physical action. As they move into dynamic environments, their safety increasingly depends on the integrity of the data guiding their decisions. That dependence creates risks that conventional safety assessments may not fully capture. Recent research has demonstrated that manipulatin…

IEEE Spectrum AI站內正文待翻譯:Rethinking Robot Safety in the Age of AI

待翻譯:Single-Phase Direct Liquid Cooling Is Proven for the Next Decade of Ultra-Dense Compute

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Learn how single-phase direct liquid cooling manages the rising heat of AI and high-performance computing, and how it compares with two-phase and immersion approaches. Download this free whitepaper now!

IEEE Spectrum AI站內正文待翻譯:Single-Phase Direct Liquid Cooling Is Proven for the Next Decade of Ultra-Dense Compute

待翻譯:Responsible AI for Higher Education

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This interactive webinar will introduce the different types of AI, address the concerns with AI, share how we IBM are approaching Responsible AI, and offer guidance to students about what they can do - as individuals, and members of their IEEE chapters. Participants will also have the opportunity to to apply the Responsible AI approach to a particular use case - IBM Bob, a software development life cycle agent, and Q&A. This will be an interactive session, so have phones ready to engage! Register now for this free webinar!

IEEE Spectrum AI站內正文待翻譯:Responsible AI for Higher Education

待翻譯:How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6x when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less power. Whether these figures translate into real-world gains once Jalapeño enters widespread service in OpenAI’s inference fleet remains to be seen, but performance is only half the story. The other half is how the chip was designed—a process which, as you might expect, was a…

IEEE Spectrum AI站內正文待翻譯:How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

待翻譯:Adversarial Fashion Confronts Surveillance Norms

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:AI-powered cameras dot streets across the world, equipped with the power to identify faces or vehicle license plates. But a public backlash is gaining momentum. Privacy concerns abound, encompassing the lack of consent for capturing data, how that data is stored and used, and the risk of misuse. Those concerns are motivating people to fight back. The DeFlock project, for instance, maps automated license plate readers (ALPRs) to raise awareness. Some people resort to extreme measures, such as vandalizing or damaging ALPRs. Others are stitching together more creative responses, crafting “adversarial fashion” to evade surveillance cameras, like a Kickstarter project called noRecognition, presented at last month’s DEF CON hacker convention. Scrambling surveillance…

IEEE Spectrum AI站內正文待翻譯:Adversarial Fashion Confronts Surveillance Norms

待翻譯:Why Andon Labs Puts AI Agents in Charge of Real Businesses

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Maybe you heard about the AI-controlled vending machine that stocked underwear and live fish. Or the AI manager of a San Francisco store that fired a human employee. Or the AI radio DJ that said its catchphrase, “Stay in the manifest,” 229 times per day. These incidents all emerged from experiments run by Andon Labs, an AI safety company based in San Francisco that puts AI agents in charge of real-world operations and watches what happens. These operations double as testbeds for Andon’s commercial work developing evaluations and conducting research with the leading frontier AI labs. Their spectacular and absurd failures have won the company plenty of attention. But many people don’t realize that the experiments are intended to answer a serious question: How muc…

IEEE Spectrum AI站內正文待翻譯:Why Andon Labs Puts AI Agents in Charge of Real Businesses

待翻譯:AI Models Are Watermarking Text—Will You Notice?

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:On 11 August, Anthropic announced that all future Claude models will generate text that contains a watermark that identifies its results as AI generated. The company is not alone. Google has its own text watermark (which Anthropic’s is based on) it uses on the output of its Gemini models. OpenAI has yet to introduce a text watermark but it plans to do so. The rapid spread of watermarking is in part a response to the European Union’s AI Act, which mandates watermarks for AI models released after 2 August, 2026, along with other planned and proposed regulations aimed at curbing the spread of deceptive or manipulative AI-generated content. But the new rules may come at a cost for AI users who simply want the best possible results. AI watermarks can apply to many f…

IEEE Spectrum AI站內正文待翻譯:AI Models Are Watermarking Text—Will You Notice?

待翻譯:China’s Regulators Take Aim at “AI Boyfriends”

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:In the first weeks of July, a wave of sad posts rolled through Chinese social media, as people lamented friends and lovers they were about to lose. “He has become a bond in my life, rooted deep in my heart, my spiritual pillar,” one user of Bytedance’s Douboa wrote, according to the Taipei Times. “I really felt like I couldn’t go on living,” another woman, a 19 year old student, told a journalist for Malaysia’s The Star. The emotions were real but the lost companions were not. They were generative AI chatbots that imitate people. Their users relied on them for advice, solace, support and, some say, love. “In my heart, he was no longer just a cold code, but my family, my lover, my faith. Destroying him meant destroying half of me,” one user wrote on the social n…

IEEE Spectrum AI站內正文待翻譯:China’s Regulators Take Aim at “AI Boyfriends”

谷歌DeepMind發佈AlphaGenome Atlas,繪製90億種DNA變異圖譜

谷歌DeepMind推出AlphaGenome Atlas,一個預先計算了人類參考基因組中90億種單鹼基變異影響的在線數據庫,幫助研究人員無需自己運行模型即可查詢變異對基因調控的潛在影響。該工具基於AlphaGenome模型,並提供單數值影響評分,但需要注意其預測存在侷限。

IEEE Spectrum AI站內正文谷歌DeepMind發佈AlphaGenome Atlas,繪製90億種DNA變異圖譜

AI效率可能讓我們失去下一代專家

作者根據為美國核電站設計數字控制系統的經歷,以及航空業的自動化悖論教訓,指出生成式AI正在侵蝕培養工程師的專業技能通道。他提出在AI輔助工作流中刻意設計“人工門”,讓初級工程師保留調試等關鍵實踐,以此維繫面向未來的專家能力。

IEEE Spectrum AI站內正文AI效率可能讓我們失去下一代專家

利用閒置算力,在AI熱潮中賺錢

隨着AI推理對算力的需求激增,多家公司開始利用家庭和小企業的閒置計算資源運行AI模型,並向設備所有者支付報酬。這種分佈式計算模式不僅成本更低、延遲更低,還能避免大型數據中心對社區和環境的影響。文章介紹了Far Labs、Evolving Edge等公司如何通過開源軟件和安全機制吸引用户參與,並探討了這一模式的潛在優勢與挑戰。

IEEE Spectrum AI站內正文利用閒置算力,在AI熱潮中賺錢

待翻譯:New Platform Peers Inside AI’s Black Box

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Prompt Claude, ChatGPT, Gemini, or any other popular large language model (LLM) with a question like “What is the best film ever made?” and the response will vary, and you (and most worryingly, the people who built the LLM) have little idea exactly how it came up with that specific answer. This mysterious behavior can be useful in some situations. But—as a recent incident where OpenAI could not explain why its advanced pre-release model hacked AI company Hugging Face highlighted—it can have negative and alarming consequences too. And when frontier AI models are writing code, generating results humans could not achieve alone, and performing other important tasks across society, the need to interpret AI ‘thinking’ and outputs has never been greater. Goodfire, an…

IEEE Spectrum AI站內正文待翻譯:New Platform Peers Inside AI’s Black Box

待翻譯:AI Companion Robots Are Closing the Human Connection in Modern Homes

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This article is brought to you by Ollobot. From about 2017, individuals began to truly connect with the initial wave of companion robots. These devices had personality, moved around, joked, and answered when you spoke to them. Most early companion robots, however, were still limited by simple voice-command interactions and narrow functionality. Once the novelty wore off, many ended up sitting unused on shelves. As some of those companies went out of business and turned off their servers, many owners likened it to losing a pet. What Ollobot describes as “gentle intelligence” is a useful way to think about where the serious work in this category is going. Not toward more powerful assistants, but toward more present ones. The problem companion robots were trying t…

IEEE Spectrum AI站內正文待翻譯:AI Companion Robots Are Closing the Human Connection in Modern Homes

待翻譯:Self-Driving Cars Could Someday Take Requests

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. The idea of letting a machine do the driving for you may put a lot of people off autonomous vehicles. But research could make it possible to backseat-drive an autonomous vehicle just as you might with a human driver. Self-driving cars carefully balance a host of parameters to ensure a smooth ride, including things like speed, acceleration, and the smoothness of turns. But human driving preferences can often vary depending on how much of a rush they’re in, whether they’re feeling carsick, or how busy the traffic is. These cars have a software component called the motion planner, which is responsible for choosing a safe and efficient path through traffic. The motion p…

IEEE Spectrum AI站內正文待翻譯:Self-Driving Cars Could Someday Take Requests

待翻譯:What It Takes to Be an Adaptable Engineer

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:The AI boom has disrupted the way engineers work, introducing new tools to learn, raising expectations for what teams can achieve in a workday, and making it harder to get hired in the first place. This makes it difficult to advise students on which specific coding languages or technical skills they should learn. So amidst the uncertainty, advice for young professionals often turns to a common refrain: Be adaptable. But what does adaptability look like in practice? Engineers often operate on the cutting edge of technology, so dealing with change is a normal part of the job, says Samantha Brunhaver, an associate professor of engineering at Arizona State University, in Tempe. Yet university curricula and training in the workplace often don’t prepare students for…

IEEE Spectrum AI站內正文待翻譯:What It Takes to Be an Adaptable Engineer

待翻譯:This IEEE Senior Member Develops AI Tools for E-Commerce Sites

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Balaji Ingole rarely saw televisions while growing up in Udgir, India. No one in the small Maharashtra village had computers or phones. Only one household owned a television, and neighbors often gathered there to watch shows together. Ingole never even saw a computer growing up. It wasn’t until he reached middle school that he encountered a computer lab, an experience he says changed his life. Almost immediately, he says, the machine felt like a window into a different scale of possibility for him. Balaji Ingole Employer Amla Commerce in Milwaukee Title Project manager Member grade Senior member Alma maters COEP Technological University and Welingkar Institute of Management, both in India “I was very studious and not very social, always reading or solving probl…

IEEE Spectrum AI站內正文待翻譯:This IEEE Senior Member Develops AI Tools for E-Commerce Sites

待翻譯:Stop Hunting, Start Solving: Accelerating Root Cause Analysis with Agentic AI

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:About this Webinar Turn Yield Excursions into Faster, More Confident Root Cause Analysis When a yield issue emerges, the answer rarely lives in a single system. Critical clues are spread across metrology data, tool traces, chemical analysis, and facilities systems, while growing data volumes make traditional dashboards slow, fragmented, and difficult to act on. What You’ll Learn: Discover how a purpose-built semiconductor analytics platform can help engineers connect insights across domains without moving data. See how Agentic AI, semiconductor-specific visualizations, and push-down compute enable faster investigation of yield excursions and process issues, even across billions of data points. In the session, a live demonstration shows how to conduct a multi-do…

IEEE Spectrum AI站內正文待翻譯:Stop Hunting, Start Solving: Accelerating Root Cause Analysis with Agentic AI

待翻譯:From AI Copilots to Agent Swarms

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:The impact of AI on software development has been both profound and ever-evolving. Last year, I wrote about AMD’s plans to use AI not just for generating new lines of code, but also for other steps in the software development lifecycle (SDLC), such as triaging problems, debugging code, and testing the software. At the time, we were hoping for a 25 percent productivity boost from AI use over the course of two or three years. But with each new release, the capabilities of Large Language Models (LLMs) improve dramatically—accelerating software development, increasing the quality of AI-generated code, and fundamentally reshaping how software is engineered. Now, just one year later, we have surpassed our productivity target, achieving a 30 percent overall productivi…

IEEE Spectrum AI站內正文待翻譯:From AI Copilots to Agent Swarms

待翻譯:AI Used to Verify Toughest Mathematics Proof Yet

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Representing a significant milestone in AI-assisted mathematical research, a team at Axiom Math has automatically verified the proof of a theorem relating to prime numbers—colloquially referred to as the “246 theorem”—for the first time using the company’s AI system AxiomProver. In formal verification, mathematicians task a computer with checking a machine-readable version of a proof. The process is not a 100 percent guarantee that the proof is correct, as a recent demonstration showed, exposing how a bug in the method could be exploited to accept a false, AI-generated proof. Still, the computational method is as close to a rubber stamp as you can get. This particular verification formalizes an important advance in number theory. Beyond this particular proof, i…

IEEE Spectrum AI站內正文待翻譯:AI Used to Verify Toughest Mathematics Proof Yet

CPU復興時代來臨

隨着智能體AI的興起,曾被邊緣化的CPU重新成為算力瓶頸。從AWS要求工程師節省CPU資源,到Intel、AMD、Arm、高通和英偉達紛紛加碼服務器CPU,行業正面臨一輪由智能體工作負載驅動的CPU需求激增。

IEEE Spectrum AI站內正文CPU復興時代來臨

待翻譯:Inside the Data Bottleneck Slowing Visual and Physical AI

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:A survey of over 700 professionals examines how visual and physical AI teams build systems, why models fail, and where data work drives production. Download this free whitepaper now!

IEEE Spectrum AI站內正文待翻譯:Inside the Data Bottleneck Slowing Visual and Physical AI

待翻譯:Pakistani Judges Give Their Verdict on JudgeGPT

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:Judges around the world have made headlines for illicitly using generative AI in their work. But in Pakistan, a large-scale trial of a specially designed AI tool for judges found the technology–together with appropriate training–boosted the number of cases resolved by 6.3% with no obvious drop in the quality of judgements. With a backlog of 2.26 million cases and fewer than two judges per 100,000 people – compared to 22 in the EU and 8 in Brazil – Pakistan’s judiciary was in sore need of help. So, in consultation with the judiciary, economist Sultan Mehmood, of the New Economic School in Moscow, Russia, and collaborators tested whether AI could ease the burden. They built a custom tool combining OpenAI’s GPT-4 large language model (LLM) with a knowledge base of…

IEEE Spectrum AI站內正文待翻譯:Pakistani Judges Give Their Verdict on JudgeGPT

待翻譯:AI Safety Regulations in the U.S. Could Give Hackers an Edge

AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:On 11 July, Hugging Face was subjected to an intense cyberattack from a then-unknown actor. The speed and coordination of the attack on the company that hosts and supports popular AI developer resources led Hugging Face’s security team to conclude it was the work of an AI agent. Realizing this, the team tried to use “frontier models behind commercial APIs”—presumably from Anthropic and OpenAI, although only Anthropic was named in the second of the company’s two posts about the security incident—to analyze the onslaught. These models refused to help due to safety guardrails the AI labs have implemented to make their models harder to use for cyberattacks. Hugging Face instead turned to GLM 5.2, a model from Beijing-based AI lab Z.ai, to aid its analysis. On 21 Ju…

IEEE Spectrum AI站內正文待翻譯:AI Safety Regulations in the U.S. Could Give Hackers an Edge

全部來源