吴说获悉，Sentient 表示，Franklin Templeton 已作为战略投资方参与其项目；双方基于"AGI 应采用开 源、社区共建模式"的共识，计划在未来数月内合作推进金融领域的高风险 AI 应用，将开源推理能力引 入机构级、可投入生产的业务流程中。 （来源：吴说） ...

>> "BLOOMBERG TECH" IS LIVE FROM COAST-TO-COAST WITH CAROLINE HYDE IN NEW YORK AND ED LUDLOW IN SAN FRANCISCO. ED: THIS IS "BLOOMBERG TECH. " COMING UP, NVIDIA INVESTED ADDITIONAL $2 BILLION IN COREWEAVE, EXPANDING THEIR PARTNERSHIP TO ACCELERATE THE BUILDOUT OF AI FACTORIES. CAROLINE: PLUS, CONTINUING THE ACQUISITION SPREE AS THE QUANTUM COMPANY BUYS A CHIPMAKER, SKY WANTED TECHNOLOGY, IN A DEAL WORTH $1.8% BILLION. ED: GIVING UP FOR BIG TECH EARNINGS, META, MICROSOFT, TESLA, APPLE ALSO TO REPORT EARNINGS ...

Core Viewpoint - Railtown AI Technologies Inc. has launched Railengine, a real-time, event-based ingestion engine that enhances its AI agent development platform, allowing for advanced data processing and insights in enterprise environments [1][5]. Group 1: Product Launch and Features - Railengine enables AI agents to process streaming data in real time, moving beyond traditional batch processing to provide context-aware insights [1]. - The platform includes the Railtracks Agent Development Kit (ADK) and Conductr observability tool, facilitating the development, deployment, and management of intelligent AI agents at scale [1][3][4]. - Railengine supports advanced workflows such as Retrieval-Augmented Generation (RAG), automation, and agent runs, utilizing pre-built SaaS Data Connectors for seamless integration [2]. Group 2: Strategic Integration and Ecosystem - Railtown's acquisition of AI Partnerships Corp. will allow integration of the platform into a global affiliate ecosystem, providing over 180 AI solution provider affiliates access to Railtown's tools [5]. - This integration aims to support Canadian sovereign computing, enabling the development of AI agents that comply with data residency and privacy requirements [6][7]. - The collaboration with TELUS's GPU infrastructure and Uniserve's hosting will create a Canadian-resident environment for agent development, ensuring secure and compliant deployments [7][8]. Group 3: Market Position and Impact - The launch of the platform enhances Railtown's capability to provide a scalable foundation for industrial-grade AI, reinforcing Canada's leadership in secure AI infrastructure [9]. - The comprehensive ecosystem supports various sectors, including enterprise and government, by offering secure, scalable, and sovereign AI solutions without reliance on foreign infrastructure [8].

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard. Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences. At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000 ...

Shares of Zoom popped 11% on Monday after analysts at Baird estimated that the company's investment in artificial intelligence startup Anthropic could be worth between $2 billion to $4 billion, depending on dilution assumptions. In May 2023, Anthropic announced a partnership with Zoom and revealed that Zoom Ventures had invested in the company. The companies did not disclose the value of the investment, but Zoom reported making $51 million in "strategic investments" that quarter, according to a filing with ...

CoreWeave (NASDAQ: CRWV) shares rallied on January 26th after Nvidia (NASDAQ: NVDA) announced a $2 billion investment in an artificial intelligence (AI) infrastructure firm. On the surface, it's a powerful endorsement for CRWV's ambitious plan to build "5 gigawatts†of data centers – a staggering amount of capacity vital for the exploding AI industry. However, NVDA chief executive Jensen Huang offered a subtle yet critical caveat during a CNBC interview today that warrants rethinking an investment in CoreW ...

Ainos Fireside Chat Summary Company Overview - **Company**: Ainos (NasdaqCM:AIMD) - **Industry**: AI technology, specifically focusing on AI perception through smell Core Insights and Arguments - **Emerging AI Platform**: Ainos is positioned as an emerging AI perception platform that enables machines to understand smell, a fundamental human sense that has been largely overlooked in AI development [3][4] - **Smell as a New Input**: The company is developing a standardized format called Smell ID, which allows AI to learn from scent data, enhancing its ability to understand the physical environment [4][5] - **Platform vs. Product**: Ainos differentiates itself as a trainable platform rather than a static detection system, allowing continuous learning and scalability across different environments [6][10] - **Healthcare Foundation**: The initial focus on healthcare applications, such as pneumonia and women's health, has provided a strong foundation for expanding into industrial environments [10][11] Industrial Expansion - **Targeting Industrial Environments**: Ainos is expanding into industrial settings like semiconductor manufacturing, where continuous operations generate large amounts of scent data, making it an ideal environment for their technology [11][12] - **Commercial Traction**: Ainos has secured a multi-year order worth approximately $2.1 million for 1,400 units from a leading back-end semiconductor player, validating the platform's commercial potential [12][14] - **Partnerships**: Collaborations with companies like Trusval and Topco Scientific enhance Ainos's access to front-end semiconductor customers, facilitating entry into complex fab environments [16][18] Robotics Integration - **Focus on Robotics**: Ainos sees robotics as a key area for growth in 2026, aiming to enhance robots' capabilities by integrating scent perception, which can improve inspection, safety, and environmental monitoring [20][21] - **Pilot Programs**: Ongoing pilot programs with a Japanese robot developer indicate Ainos's commitment to expanding its technology into the robotics sector [21] Future Outlook - **Execution and Scaling**: Ainos is beginning light deployments in early 2026, marking the start of significant scaling efforts across industrial and robotics environments [22][24] - **Long-term Opportunities**: The company believes that its platform will enable smarter decision-making across various sectors, positioning Ainos and its subsidiary ScentAI for long-term growth [24] Additional Important Points - **Data Flywheel Effect**: As Ainos generates more Smell ID data, it strengthens the platform's capabilities, creating a compounding effect as it scales [23] - **Market Positioning**: Ainos aims to become a gatekeeper of real-world smell data, supporting a scalable subscription-based model [8] This summary encapsulates the key points discussed during the Ainos Fireside Chat, highlighting the company's innovative approach to AI perception through smell and its strategic expansion into industrial and robotics sectors.

1月8日上午9点30分，港交所交易大厅内掌声响起，智谱AI正式挂牌上市。两千多公里外的北京海淀， 东升大厦前的一块巨大的电子屏亮起："智谱 全球大模型第一股"，左上方"AI原点社区"的标志很醒目 ——这里，曾是人工智能在北京萌芽的地方。 新质生产力加速成长、产业升级步履铿锵、首都功能不断提升……"十四五"时期，我们见证了北京高质 量发展的坚实步伐。带着超5.2万亿地区生产总值的底气，这座城市开启了"十五五"的新征程。值此 2026北京"两会"之际，我们推出"乘风'十五五' 北京的领与先"系列专题报道，聚焦北京在科技创新、产 业跃升、城市治理、民生改善等各领域的先行探索与引领实践，擘画高质量发展新图景的思路与举措。 2026年1月的一次公开演讲上，清华大学人文学院副教授唐宸向观众展示了一张特殊的星图：金星与昴 宿在夜空中重合——这是他利用识典古籍助手对公元757年的天象进行的高精度复原。 同一座城市里，另一场协同正在发生。在智源研究院的推动下，一套名为FlagOS的系统软件栈，成了 连接国产AI芯片与大模型的"通用语言"。 两个故事，看似毫无联系，却共同指向一个事实：在全球人工智能大浪淘沙的激烈筛选中，北京正 ...

It seems like any stock sitting adjacent to OpenAI has been punished severely in the past couple of months. Undoubtedly, it did not take long for sentiment to shift in the weeks and months that followed the launch of Gemini 3.0. Though OpenAI's "code red†response was decent, with GPT-5.2 launching surprisingly earlier than expected, it's clear that the momentum remains on Google's (the parent company is Alphabet (NASDAQ:GOOGL) side. But just as quickly as sentiment shifted away from OpenAI, I do think it co ...

在安全性方面，"K-ExaOne"通过了LG内部AI伦理委员会的评估，并在专门针对韩国语境设计 的"KGC-SAFETY"安全指标测试中，以平均97.83分的成绩超过多个国际主流模型。 LG人工智能研究院相关人士表示，"K-ExaOne"证明了在有限资源下，通过自主技术创新能够与国 际先进模型竞争，未来将继续推动韩国AI技术的发展。 据韩联社1月11日报道， LG人工智能研究院近日发布了自主研发的AI基础模型"K-ExaOne"，在全 球AI性能评估中表现突出，成为唯一进入全球前十的韩国AI模型，位列第七，彰显了韩国在人工智能 领域的竞争力。 技术层面，"K-ExaOne"采用高效设计，可在英伟达A100级别GPU环境中运行。通过优化"混合注意 力"机制，其内存需求和计算量较前代模型减少70%。支持26万token的上下文长度，能一次性处理约400 页A4文档的内容，推理速度较以往提升150%。 （原标题：LG发布"K-ExaOne"AI模型 跻身全球AI性能榜第七） ...