其中，Moncler主品牌实现营收10.9亿欧元，直营渠道仍是最主要增长动力，Stone Island实现营收2亿欧元，同比增长7%。

1、b体育网页版 公司目前拥有超500项授权专利，智能仿生手获美国FDA认证，是全球首家把非侵入式脑机接口做到大规模量产的企业。

尤文体育总监马萨拉对托莫里十分熟悉，正是他在米兰任职期间主导了这笔签约。b体育网页版此外，智冉医疗从去年8月到今年2月这半年内累计融资近6亿元，其中A轮融资投资方为君联资本元生创投、联想创投、百度风投等，A+轮融资由中科创星领投，IDG资本、红杉中国、美团龙珠、顺为资本等集体跟投。

2、关于亚历山德罗斯·法莱卡斯继续担任浙江稠州金租男篮主教练的公告

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

3、中端酒店还在卷标准，品睿·竹境观止系列已经开始卷情绪了

莫塔是米兰老生常谈的一个目标，2024年夏天，管理层就曾追逐过莫塔，不过最终他们选择了保罗·丰塞卡，莫塔则加盟尤文。

4、正式确定！CBA顶级大外援完成转会，加盟北控男篮

OpenAI现任硬件负责人Tang Tan，曾经也在苹果干了24年，据说他现在，专门挖苹果的人。

5、我国成功发射天仪48星等5颗卫星

但礼来高层却出人意料地否决了这项申请。

斯坦丘、马莱莱与阿奇姆彭组成的外援三叉戟全程压制泰山防线，分工清晰、联动拉满。

任何一个环节被卡住，都可能影响整台设备的生产和交付。

6、时隔12年重返总决赛！文班三少对比14年GDP 马刺能复刻夺冠剧本吗

今年6月，其又宣布减持不超过3%的公司股份。

AC米兰将于7月13日开始他们26/27赛季的季前训练，球员们将在早上集合进行体能测试，通过后下午正式参加阿莫林的首堂训练课。

7、坦白讲89%跑者，不懂东北100越野到底多虐！

中国央行6月末黄金储备为7544万盎司，较5月末增加48万盎司，创2024年11月以来单月最大增量。

目前，埃斯图皮尼安、托莫里、里奇和穆萨四名球员的离队谈判均已取得不同程度的进展，涉及英超、意甲多支球队，最乐观估计，他们可以为球队回笼约8000万欧元资金。

8、曝湖人计划先签后换得到库明加，范德彪成筹码之一

超卓航科2022年7月登陆科创板，顶着“冷喷涂增材制造第一股”的名头募资9.24亿元，上市至今刚满四年。

如今随着大力神杯的决赛门票稳稳握在手中，2026年金球奖的归属逻辑已变得异常清晰。

计算能力提升得越快，通信、存储和散热越容易拖住整体效率，这都是智算中心走向规模化后绕不开的问题。

9、镜报：阿森纳准备7000万镑报价纽卡队长吉马良斯

枪手今夏转会窗的推进速度，与阿尔特塔的期望形成了鲜明反差。

那项1996年的专利，直到二十多年后，其核心价值才被市场真正理解。

10、网格智算：“不堆算力”的AI大脑如何填补林下场景空白

厂家可以不算经济账，但安全账终归是要算的。

而极佳视界这样的"大脑”公司，数据需要通过客户合作获取，主动权不在自己手里。

1、湖人想用他换资产却无队愿接盘，记者：搞不好还得倒贴

防守端，球队战术纪律执行力强，防线组织严密，双后腰配置构筑中路屏障，整体防守层次清晰，补位及时。

2、一声叹息，昔日闯进温网决赛者，竟连续三年温布尔顿早早出局

以前大家会讨论，是否应该把所有数据都放在SSD里，但实际上这种方式并不可能。

3、1962年，有人说陈寅恪月薪381元太高，陶铸说:你有他那样的本事？

巴塞罗那已经对托特纳姆热刺中卫克里斯蒂安·罗梅罗表达了兴趣，一场围绕这位阿根廷国脚的豪门争夺战，可能在今年夏天上演。我的同学情据转会专家罗马诺的独家消息，意甲豪门国际米兰已经率先迈出实质性一步，与热刺进行了初步的试探性接触，以了解球员的转会可能性。

4、跟队记者：卡尔迪纳莱希望米兰加快转会运作，特别是卖人

更重要的是，在多模态视觉领域，中国企业展现出了引领全球的底气和优势。

5、1换1！突然达成交易！中国男篮轮换级别前锋

对厂商来说，深耕现有角色的世界观、补全遗留剧情，投入成本高、周期长，商业回报微乎其微。

6、斯诺克世锦赛资格赛战报：中国4人进入决胜轮9人待定，常冰玉147

由于电芯形变弯曲酷似香蕉，维修圈就给它起了“香蕉电池”这个名字。

然而，受限于欧足联的财务公平法案及阵容成本规则，维拉在转会市场上必须遵循“先卖后买”的原则以平衡收支。

当终场哨声吹响，27岁的姆巴佩首次无缘世界杯决赛，留下了一个略显苦涩的背影。

7、官方实力榜湖人反超升至首位 雄鹿第2勇士告别垫底

球员的技术特点与阿莫林3421体系对边前腰位置的要求高度契合，既能持球推进又能串联锋线。

看好比利时常规时间2比1小胜塞内加尔，艰难挺进16强。

8、亚运解签：男足陷“死亡之组”，女足争小组第一

与此同时，关于重庆铜梁龙队长向余望的表现，也引发了部分球迷的调侃与质疑。

公司自己也承认存在“实际控制人及其近亲属与公司之间的多笔资金拆借”等多种财务内控不规范情形，并因此做了会计差错更正。

文本占60%，多模态占40%。

即便全场隐身，他也能在瞬间改变战局。