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蚂蚁灵波开源空间感知模型LingBot-Depth
Huan Qiu Wang Zi Xun· 2026-01-29 01:35
科技日报记者 崔爽 针对这一难题,蚂蚁灵波科技研发了"掩码深度建模"(Masked Depth Modeling,MDM)技术,并依托 奥比中光Gemini 330系列双目3D相机进行RGB-Depth数据采集与效果验证。当深度数据出现缺失或异常 时,LingBot-Depth模型能够融合彩色图像(RGB)中的纹理、轮廓及环境上下文信息,对缺失区域进 行推断与补全,输出完整、致密、边缘更清晰的三维深度图。值得一提的是,LingBot-Depth模型已通 过奥比中光深度视觉实验室的专业认证,在精度、稳定性及复杂场景适应性方面均达到行业领先水平。 1月27日,蚂蚁集团旗下具身智能公司灵波科技开源高精度空间感知模型LingBot-Depth。这是蚂蚁灵波 科技在2025外滩大会首次亮相后,时隔半年在具身智能技术基座方向公布重要成果。 据介绍,该模型基于奥比中光Gemini 330系列双目3D相机提供的芯片级原始数据,专注于提升环境深度 感知与三维空间理解能力,旨在为机器人、自动驾驶汽车等智能终端赋予更精准、更可靠的三维视觉, 在"看清楚"三维世界这一行业难题上取得重要突破,如在NYUv2、ETH3D等权威基准评测中 ...
马云最新发声:谈AI和教育;软银拟向OpenAI追加投资300亿美元;英伟达员工晒年会最牛年终奖:黄仁勋亲笔签名皮衣丨邦早报
Sou Hu Cai Jing· 2026-01-29 00:25
点击输入图片描述(最多30字) 点击输入图片描述(最多30字) 【鸣鸣很忙上市大涨88%】中国最大的休闲食品饮料连锁零售商——湖南鸣鸣很忙商业连锁股份有限公司在港交所主板挂 牌上市,开盘大涨88.08%,截至收盘,涨幅回落至69.06%,报400港元/股,总市值达862.04亿港元。鸣鸣很忙此次全球发 售1410.1万股H股,公开发售阶段认购倍数超过1500倍,8家基石投资者合计认购15亿港元,包括腾讯、淡马锡与贝莱德 等。公司预计净筹资30亿港元以上,发行市值约500亿港元。鸣鸣很忙旗下拥有零食很忙、赵一鸣零食两大品牌,最新数据 显示,截至2025年11月30日,鸣鸣很忙门店数达21041家。(更多内容,点击查看《两位85后卖零食,开店两万家,身价均 超200亿港元,鸣鸣很忙刚刚IPO》)(中国基金报) 点击输入图片描述(最多30字) 【英伟达员工晒年会最牛年终奖:黄仁勋亲笔签名皮衣】近日,英伟达CEO黄仁勋陆续到访上海、北京、深圳,分别参加 了三地分公司举办的新年活动。1月27日,有网友在社交媒体晒出一件黄仁勋亲笔签名的皮衣。该网友表示,自己本来想签 在胸前,结果黄仁勋直接把他翻个身按住并称"Don't ...
文远知行发布通用仿真模型WeRide GENESIS;OpenAI推出Prism 可用于撰写论文和协作研究丨AIGC日报
创业邦· 2026-01-29 00:08
Group 1 - WeRide announced the launch of its self-developed general simulation model WeRide GENESIS, which bridges Physical AI and Generative AI, accelerating the development, training, and commercialization of autonomous vehicles [2] - Lingbo Technology, a subsidiary of Ant Group, released the embodied large model LingBot-VLA, which is fully open-sourced, providing model weights and a complete codebase for data processing, efficient fine-tuning, and automated evaluation [2] - OpenAI introduced Prism, a research tool powered by GPT-5.2, allowing researchers to write papers and collaborate on research, available for free to all ChatGPT personal account users [2] - Xiaomi, in collaboration with Ant Group, launched a parking payment feature on its smart glasses using the GPASS technology framework, enabling users to pay for parking without using their phones [2]
穿过隧道,蚂蚁看见下一个「支付宝」
Sou Hu Cai Jing· 2026-01-28 19:42
Core Insights - Ant Group must innovate beyond Alipay and finance to secure its future, with a focus on AI health services as a new growth area [4][10][20] - The new CEO, Han Xinyi, emphasizes the urgency of finding a significant innovation to support the company's next decade [5][9] - The AI health assistant, Aifu, is positioned as a key strategic asset for Ant Group, aiming to address health management needs [6][10][20] Group 1: Company Strategy - Ant Group's strategy is shifting towards health services, with a clear focus on AI applications in finance and health [6][8] - The company has identified the AI health management market as a potential area for significant growth, with projections indicating a market size exceeding 1 trillion yuan by 2025 [13][14] - Aifu's rapid user growth, reaching over 30 million monthly active users, indicates strong demand for health services [6][16] Group 2: Market Positioning - The health sector is seen as a critical third leg for Ant Group's business model, complementing its established financial services [8][9] - The company aims to leverage its existing resources and expertise in healthcare to create a comprehensive health management ecosystem [14][16] - Ant Group's approach includes reducing barriers to healthcare access, aligning with national health strategies and addressing societal needs [10][14] Group 3: Innovation and Future Outlook - Aifu is expected to play a pivotal role in Ant Group's future, with the potential to redefine the company's identity beyond just financial services [20][24] - The company is investing heavily in AI and health technology, with plans to allocate billions annually to health initiatives [14][16] - The strategic focus on health services is anticipated to enhance employee morale and corporate culture, fostering a renewed sense of purpose within the organization [24][26]
腾讯研究院AI速递 20260129
腾讯研究院· 2026-01-28 16:03
Group 1: OpenAI Developments - OpenAI launched Prism, a cloud-based LaTeX workspace powered by GPT-5.2, integrating drafting, editing, collaboration, and publishing, with capabilities to read the overall structure and context of papers [1] - Prism offers features like intelligent literature search, sketch-to-LaTeX conversion, and voice editing, allowing unlimited collaborators and is free for all ChatGPT users [1] - OpenAI anticipates that AI will transform software development by 2025 and the scientific field by 2026, positioning Prism as a pioneer in accelerating scientific discovery [1] Group 2: Google AI Plus Initiative - Google officially launched the AI Plus plan globally, priced at $7.99 per month in the U.S., with a 50% discount for the first two months, targeting budget-conscious users [2] - The plan includes access to Gemini 3 Pro, Flow video creation, NotebookLM research assistance, and 200GB of cloud storage, supporting up to six family members [2] - Existing Google One Premium 2TB users will automatically receive all AI Plus benefits, seen as a direct response to OpenAI's ChatGPT Go [2] Group 3: Clawdbot Rebranding - The open-source project Clawdbot was forced to rebrand as Moltbot due to trademark infringement claims from Anthropic, with developers humorously noting "same lobster spirit, new shell" [3] - During the rebranding, a GitHub issue led to the old ID being seized by cryptocurrency scammers for blockchain fraud, prompting the author to clarify that no tokens were ever issued [3] - The author also advised that "most non-technical users should not install this," as the project is still in its early stages and poses security risks [3] Group 4: Tencent's Mixed Yuan Image 3.0 - Tencent's Mixed Yuan Image 3.0, a state-of-the-art image generation model, has been open-sourced, based on an 80 billion parameter mixed expert architecture, ranking seventh globally on the LMArena image editing leaderboard [4] - The model employs a "think before edit" workflow, supporting diverse editing capabilities such as addition, deletion, style transformation, and old photo restoration [4] - The training process involved constructing a dataset of millions of image generation tasks covering over 80 tasks, utilizing a proprietary MixGRPO algorithm to align with user preferences [4] Group 5: Kunlun Tiangong's Mureka V8 - Kunlun Tiangong released the Mureka V8 music model, leveraging MusiCoT technology to enhance musicality, arrangement completeness, and vocal expression, transitioning from "generable" to "publishable" [5][6] - The V8 model surpassed Suno in subjective scoring for Chinese song generation and has formed a strategic partnership with Taihe Music Group, integrating AI music into mainstream production and distribution [6] - The platform has served over 8,000 global clients and plans to iterate 2-3 versions annually, aiming to become the leading platform in the global AI music sector [6] Group 6: Vidu's Q2 Reference Model - Vidu launched the Q2 Reference Pro model, featuring a unique "everything can be referenced" capability, supporting six types of references including effects, expressions, textures, actions, characters, and scenes [7] - The model enables fine-tuned video editing, allowing users to add, delete, modify, and replace any elements, with one-click switching between real and animated styles [7] - This new functionality allows users to create special effects films without needing to learn professional tools like C4D or AE, accelerating the production of AI-driven short dramas [7] Group 7: Ant Group's LingBot-VLA - Ant Group released the LingBot-VLA, an embodied intelligent base model trained on approximately 20,000 hours of real data covering nine dual-arm robot configurations, outperforming Pi0.5 in GM-100 benchmark tests [8] - The model utilizes a Mixture-of-Transformers architecture, integrating visual distillation to achieve strong generalization across different entities and scenes [8] - The research revealed the scaling law of the VLA model, showing continuous performance improvement as data expanded from 3,000 to 20,000 hours without saturation [8] Group 8: Establishment of the Interstellar Navigation Academy - The Interstellar Navigation Academy was officially established at the Chinese Academy of Sciences, with Academician Zhu Junqiang as the director, aiming to build a curriculum system covering 14 primary disciplines [9] - The academy will introduce 22 core courses, focusing on cutting-edge topics such as interstellar dynamics and governance, along with six specialized teaching practice platforms [9] - This initiative is positioned as a key measure to seize technological high ground, providing talent support for national deep space exploration and space science research [9] Group 9: OpenAI's CEO Acknowledgment - OpenAI's CEO acknowledged during a developer meeting that GPT-5.2 sacrificed writing capabilities for improved reasoning and coding, stating "we messed up," with plans to address this in future versions [10] - The CEO predicted that by the end of 2027, the cost of GPT-5.2 level intelligence will decrease by at least 100 times, leading to personalized app versions for everyone [10] - He emphasized that the most important skills in the AI era will be high adaptability and the ability to generate ideas, noting that while the definition of engineers may change, demand will remain [10] Group 10: AI for Science Competition - OpenAI's Vice President Kevin Weil stated that GPT-5's reasoning capabilities have reached the forefront of human performance, scoring 92% on the GPQA doctoral-level test, significantly surpassing GPT-4's 39% [11] - Weil believes the greatest value of large language models lies in discovering interdisciplinary connections and forgotten research, exploring ways to instill "cognitive humility" and self-fact-checking abilities in models [11] - He predicts that 2026 will be a pivotal year for AI-enabled research, warning that researchers who do not deeply utilize AI tools will miss opportunities to enhance efficiency [11]
AI进化速递 | 混元图像3.0图生图模型开源
Di Yi Cai Jing· 2026-01-28 13:07
④腾讯云支持Clawdbot云端极简部署; ⑤Kimi K2.5发布24小时登顶全球开源榜单; ⑥Figure发布新一代人形机器人Helix 02; AI进化速递 | 混元图像3.0图生图模型开源 ⑦蚂蚁集团旗下灵波科技宣布全面开源具身大模型LingBot-VLA; ①腾讯混元图像3.0图生图模型正式开源; ⑧智元:VLA端侧推理性能提速15倍,并于精灵G2机器人上完成真机验证; ②阿里云通义正式开源发布Z-Image基座模型; ⑨宸境科技发布具身智能新品牌及全栈技术矩阵; ③阿里云上线Clawdbot全套云服务; ⑪Mistral AI发布Vibe 2.0:终端编程助手进化,支持自定义子代理; ⑫韩国AI芯片设计公司FuriosaAI开始量产其第二代Renegade芯片; ⑬谷歌宣布将AI Plus订阅服务推广至包括美国在内的35个新市场; ⑭AI内容公司Thetawave AI完成数百万美金Pre-A轮融资。 ⑩SK海力士拟斥资100亿美元在美国设立人工智能解决方案公司; ...
【太平洋科技-每日观点&资讯】(2026-01-29)
远峰电子· 2026-01-28 12:56
Market Overview - The major indices showed mixed performance with the Shanghai Composite Index up by 0.27%, Shenzhen Component up by 0.09%, while the ChiNext Index fell by 0.57% [1] - The TMT sector led the gains with SW discrete devices up by 3.79%, SW communication cables and supporting up by 3.17%, and SW integrated circuit packaging and testing up by 2.23% [1] - Conversely, the TMT sector also saw declines with SW marketing agents down by 3.72%, SW portal websites down by 3.21%, and SW robotics down by 3.17% [1] Domestic News - Licheng Technology announced that its panel-level packaging (FOPLP) technology has received gradual certification from clients, with plans to establish an initial monthly production capacity of 3,000 pieces this year and an additional 3,000 pieces in Q1 next year [2] - Tailin Micro plans to acquire 100% of Panqi Micro, which has significant differentiated technology advantages in low-power and low-cost fields, with its ultra-low power RF transceiver technology achieving competitive levels against leading international manufacturers [2] - Anlu Technology raised 1.262 billion yuan through a private placement, with the net proceeds intended for advanced process platform ultra-large scale FPGA chip R&D projects and upgrades [2] - Haosheng Technology launched the world's first ultra-wide polarizer suitable for 130-inch LCD panels, improving visual uniformity and reducing overall energy consumption of LCD backlight modules [2] Overseas News - Meta and Corning announced a multi-year partnership worth up to $6 billion to accelerate the construction of advanced data centers in the U.S., supporting the development of applications and technologies for the metaverse [3] - Lightmatter announced a breakthrough in laser architecture with its ultra-large scale photonics technology, enhancing bandwidth density by 8 times for AI applications [3] - ASML expects significant growth in its EUV business by 2026, with revenues projected to increase compared to 2025 [3] - Texas Governor expanded the state's banned technology list, adding 35 Chinese tech companies and AI platforms [3] AI News - Google launched a low-cost subscription plan, Google AI Plus, originally designed for emerging markets, now available in the U.S. for $7.99 per month [4] - Blueglass introduced the Blueglass AI Alpha ring, a smart wearable device with various health monitoring features [4] - Guoxing Aerospace deployed the Qwen3 large model to its "Star Computing" space computing center, marking the first in-orbit deployment of a general large model [4] - OpenAI launched Prism, a free collaborative research platform based on GPT-5.2, integrating various research tools [4] Industry Tracking - Shuo Technology successfully tested the ignition of the "Mammoth No. 1" engine, which will be used in its medium-sized launch vehicle "Glacier No. 1" [5] - Virtual Reality announced completion of over 50 million yuan in Series A+ financing, focusing on AI algorithm development for brain diseases [5] - Jilin University developed a new high-sensitivity measurement technology based on surface plasmon resonance, aiming to break foreign technology barriers [5] - Ant Group's Lingbo Technology announced the open-source of its embodied AI model LingBot-VLA, enhancing generalization capabilities across tasks [5] Earnings Forecast - Industrial Fulian expects a net profit of 35.1 billion to 35.7 billion yuan for 2025, a year-on-year increase of 51% to 54% [6] - Zhenlei Technology forecasts a net profit of 12.3 million to 14.5 million yuan for 2025, a year-on-year increase of 529.64% to 642.26% [6] - Changchuan Technology anticipates a net profit of 1.25 billion to 1.4 billion yuan for 2025, a year-on-year increase of 172.67% to 205.39% [6] - Wol Nuclear Materials expects a net profit of 1.1 billion to 1.18 billion yuan for 2025, a year-on-year increase of 29.79% to 39.22% [6] High-Frequency Data Updates - The international DRAM spot prices showed varied changes, with DDR5 16G prices averaging $36.6, unchanged from the previous day [7] - Semiconductor material prices were reported, with 4N zinc oxide powder priced between 1,470 to 1,520 yuan per kilogram [8]
蚂蚁归来:押注“两朵花”赛道
2 1 Shi Ji Jing Ji Bao Dao· 2026-01-28 10:33
Core Insights - The article discusses the competitive landscape of AI technology in key sectors such as healthcare, finance, and industry, highlighting a "arms race" among major tech companies like Alibaba, ByteDance, and Tencent by 2025 [1] - Ant Group is refocusing on its core business areas of payment, finance, and healthcare, which are seen as the "three legs" supporting its future development strategy [1][2] - The CEO of Ant Group, Han Xinyi, expresses concerns about the company's innovation pace and the potential threat of general AI to existing business models [1] Group 1: Strategic Focus - Ant Group has chosen to focus on payment, finance, and healthcare as its core pillars, indicating a commitment to sectors with long-term social demand and policy support [2] - The company aims to leverage AI to enhance its services in these areas, particularly through its health AI assistant "Afu" [4][5] - The strategic significance of this focus lies in the high-frequency entry points and trust foundations provided by lifestyle services, the monetization potential of finance, and the growth opportunities in healthcare [4] Group 2: AI Development and Market Position - Ant Group's AI strategy emphasizes application anchoring and exploring the limits of intelligence, with a commitment to developing foundational large models [4] - The company has made significant strides in the healthcare sector, with "Afu" achieving over 10 million daily user inquiries and 30 million monthly active users, positioning it among the top AI apps in China [10] - The healthcare market presents substantial opportunities, with a significant gap in quality medical resources and high-frequency, fragmented patient needs [7][8] Group 3: Organizational and Cultural Shifts - Ant Group's internal morale has improved with the emergence of new AI applications, reflecting a shift in focus from past challenges to future innovations [11][12] - The company has restructured its health business into an independent unit alongside payment and finance, indicating a strong commitment to this strategic direction [12] - Han Xinyi emphasizes the importance of ensuring that the health business becomes widely used and positively regarded by the public, similar to the success of Alipay and Yu'e Bao [11][12] Group 4: Long-term Vision and Commitment - Ant Group's evolution is closely tied to its mission of providing inclusive services, with a focus on lowering barriers in healthcare similar to its previous efforts in finance [12][13] - The company is investing over 10% of its revenue in R&D from 2022 to 2024, showcasing its commitment to advancing AI technology and recruiting top talent globally [12] - The founder, Jack Ma, envisions AI as a transformative force for the next two decades, emphasizing the importance of creating valuable and unique contributions in this new era [13]
从支付到健康,蚂蚁的下一站
盐财经· 2026-01-28 10:29
Core Insights - Ant Group is shifting its focus from financial services to health management, aiming to address both wealth and health concerns of the public, as articulated by CEO Han Xinyi [3][6] - The company is investing heavily in its health AI assistant "Afu," which aims to provide comprehensive health management services, indicating a strategic pivot towards the health sector [6][19] Group 1: Strategic Shift to Health - Ant Group's decision to enter the health sector is driven by a combination of technological advancements, societal needs, and its corporate DNA, marking a significant strategic choice for the next decade [2][3] - The health sector is seen as a vast market with long-tail demands that have not been effectively digitized, contrasting with previous internet healthcare models that focused narrowly on selling medications [8][10] Group 2: Market Dynamics and Demand - There is a strong policy push from the government to integrate AI into healthcare, with multiple initiatives aimed at enhancing health services through technology [10] - Health is identified as a fundamental need that persists through economic cycles, with increasing public anxiety about health management, particularly in the context of uneven healthcare resource distribution [10][12] Group 3: Technological Advancements - The rise of AI technology is expected to enhance traditional healthcare services, making them more efficient and personalized, which aligns with Ant Group's strategy to leverage its technological capabilities in a specialized field [12][19] - Over a thousand doctors have already created AI avatars on Afu, indicating a proactive approach to enhancing healthcare delivery and expanding service capacity [12] Group 4: Investment and Commitment - Ant Group is committing substantial financial resources to the health sector, with projected annual investments reaching "tens of billions" in 2024 and 2025, reflecting a serious commitment to succeed in this domain [15][16] - The company views its health initiative as a critical component of its identity in the AI era, aiming to replicate its successful financial service model in the healthcare space [16][18] Group 5: Future Vision and Ecosystem - Afu is designed to evolve into an open health data and service ecosystem, integrating with various health monitoring devices to provide continuous health management services [19] - The ultimate goal is to create a comprehensive health service platform that not only addresses immediate health concerns but also builds long-term user trust and engagement [18][19] Group 6: Competitive Landscape - The health sector is becoming increasingly competitive, with major tech companies like Amazon and Anthropic also entering the AI health space, indicating a broader industry trend towards digital health solutions [23][24] - Ant Group's strategic investments and innovations are positioned to capitalize on this trend, suggesting a well-defined roadmap for future growth in the health sector [24]
蚂蚁灵波开源具身大模型LingBot-VLA
Cai Jing Wang· 2026-01-28 07:05
LingBot-VLA凭借扎实的基座能力,大幅降低了下游任务的适配门槛,仅需80条演示数据即可实现高质 量的任务迁移。此外,配合底层代码库的深度优化,其训练效率达到StarVLA、OpenPI等主流框架的 1.5~2.8倍,实现了数据与算力成本的双重降低。 此次开源不仅提供了模型权重,还同步开放了包含数据处理、高效微调及自动化评估在内的全套代码 库。这一举措大幅压缩了模型训练周期,降低了商业化落地的算力与时间门槛,助力开发者以更低成本 快速适配自有场景,模型实用性大幅提升。 长期以来,由于本体差异、任务差异、环境差异等,具身智能模型落地面临严重的泛化性挑战。开发者 往往需要针对不同硬件和不同任务重复采集大量数据进行后训练,直接抬高了落地成本,也使行业难以 形成可规模化复制的交付路径。 针对上述问题,LingBot-VLA基于20000+小时大规模真机数据进行预训练,覆盖了9种主流双臂机器人 构型(包括AgileX,Galaxea R1Pro、R1Lite、AgiBot G1等),从而让同一个"大脑"可以无缝迁移至不同构 型的机器人,并在任务变化、环境变化时保持可用的成功率与鲁棒性。与高精度空间感知模型Ling ...