基础模型、多模态推理、智能体平台和企业级 AI 基础设施共同推动的高热度产业。
本周变化
+4.8%
最新更新
2026-06-11
情绪指数
86
行业热度
94
热度分数
94
综合行业热度与近期活跃度。
关键词增长
+4.2%
行业关键词周度变化均值。
基于本地 mock heat history 展示该行业最近周期 heatScore。
当前行业关键词热度、增长率与相对强度。
该行业最新情报摘要，包含周期、驱动因素、风险与短期展望。
大模型热度继续由多模态、智能体和推理成本三条线驱动，采购方更关注可控性、审计能力和实际业务闭环。
当前行业关键事件，按时间倒序排列。
审计、权限、日志和数据授权链路成为企业 AI 平台预算组成。
Future Radar Mock Desk
当前行业相关 signals，可按类型过滤并按重要性排序。
当前行业的结构化报告仍保留在详情页底部，独立报告详情页将在 Stage 4.0 后续轮次接入。
当前行业还没有趋势报告。
资本关注度
82
最近热度样本中的资本活跃强度。
技术突破度
92
研究、产品和技术活动综合信号。
政策关注度
83
政策信号与市场活动的合成读数。
风险等级
100
高影响、安全与趋势风险的综合暴露。
未来 4-8 周应重点观察模型路由、智能体审计和垂直行业 Copilot 的真实续费信号。
企业开始把图像、语音和文档理解接入内部知识系统。
Future Radar Mock Desk
缓存、量化和模型路由成为 AI 平台团队降本重点。
Future Radar Mock Desk
幻觉率、权限越界和工具调用稳定性被纳入上线前验收。
Future Radar Mock Desk
知识管理、客服和数据分析团队开始用智能体处理多步骤任务。
Future Radar Mock Desk
行业内具有代表性的公司、研究机构和生态节点。
Refresh accepted a normalized mock-feed record for ai-large-models.
MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.
Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players'
Codex 用量限制已重置。 确认依据：用户确认已到账，且 Tibo 原帖下已有用户反馈 automatic reset applied。非 Tibo/Sam 官方完成帖。 官方预告或发卡：6月17日 02:49 UTC+8 权益真实生效：6月18日 05:25 UTC+8 历史节奏：26小时35分 适用范围：所有计划 来源：https://x.com/xt0n1t3ch/status/2067358081898483746
Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.
A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment.
Research in “Nature” shows our conversational AI system matches primary care physicians in complex disease management.
In its first year, INM has worked across research, workforce development, and industry engagement to help accelerate new manufacturing technologies and their real-world deployment.
Google has announced a $1.5 billion investment for 2026 and 2027 to expand its data center campus in Jackson County, Alabama. Operating since 2019 on a repurposed former…
An expert in behavioral science and transportation, Zhao combines these studies with AI and public policy to address some of the most urgent challenges facing cities.
MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.
The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology.
We’re helping build the state’s next-generation workforce and investing in energy programs.
Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.
A Media Lab study shows that, much like how GPS has weakened our navigation skills, AI can make us worse at detecting fake news.
The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.
Here are Google’s latest AI updates from May 2026
MIT RAISE and Georgia State University announce an initiative to connect universities, community colleges, industry, and government to expand industry-aligned AI training and career pathways.
IAIFI enters its second phase with increased funding, broader ambitions, and a growing community at the frontier of AI and fundamental physics.
MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.
The George Peabody Medal is the highest honor bestowed by the Peabody Institute of the Johns Hopkins University.
The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.
Uncover second-hand scores with AI tools in Google Search and Shopping.
Learn how Googlers used AI to produce Google I/O 2026.
We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.
Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.
University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.
With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.
Here are 12 of the biggest Google I/O 2026 keynote moments, including news about Gemini Omni, Gemini 3.5 Flash and more.
A recap of the 2026 I/O Dialogues, where leaders discuss the future of AI, quantum computing, robotics and creativity.
A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.
Connor Coley works at the interface of chemistry and machine learning, to discover and design new drug compounds.
We’re helping build the state’s next-generation workforce and investing in energy programs.
We've been busy! Here’s a rundown of the top announcements, launches and demos at I/O 2026.
See and hear your colleagues in true-to-life size and sound, making hybrid meetings feel more inclusive and connected.
MIT faculty member in electrical engineering and computer science to focus on innovation in engineering education and new pedagogical approaches.
One year after launch, see how AI Mode’s users are shifting from keywords to natural language queries.
Introducing a $100 AI Ultra plan — plus, new features and benefits for Google AI Plus, Pro and Ultra subscribers.
We shared the next step in our journey to bring together the best of a search engine with the best of AI.
At Google I/O we released Gemini 3.5, our latest series of models combining frontier intelligence with action.
The latest from Google I/O: See how we’re helping you get more done with Gemini.
Announcing new voice capabilities in Gmail, Docs and Keep, a new design tool called Google Pics and updates to AI Inbox.
The prestigious fellowship funds graduate studies at Stanford University.
Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.
New AI education program from MIT Open Learning debuts with AI-powered personalization and a free introductory course for learners everywhere.
MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not necessarily productivity.
Assistant Professor Gabriele Farina mines the foundations of decision-making in complex multi-agent scenarios.
MIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.
Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
President Sally Kornbluth spoke in front of a packed crowd about growing challenges to the U.S. research ecosystem as funding for America’s top research universities becomes increasingly strained.
A new debiasing technique called WRING avoids creating or amplifying biases that can occur with existing debiasing approaches.
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.
Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.
Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.
As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.
As the NC Ethics of Technology Postdoctoral Fellow, Michal Masny is advancing dialogue, teaching, and research into the social and ethical dimensions of new computing technologies.
Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
By moving their hands and fingers, users can direct a robot to play piano or shoot a basketball, or they can manipulate objects in a virtual environment.
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
Operations research expert Dimitris Bertsimas delivered the annual Killian Lecture, providing a look at the past and future of his work.
Conference speakers discussed the unfolding trajectory of AI and the benefits of shaping technology to meet people’s needs.
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.