佰维存储预计2026年上半年实现营业收入150亿元至160亿元，同比增长283.40%至308.96%；预计2026年半年度实现归属于母公司所有者的净利润70亿元至75亿元，同比增加3200.15%至3421.59%。

1、hth官网登录 尽管马洛卡最终降入西乙，他依然入选了葡萄牙国家队参加了世界杯。

简单来说，DNA合成服务就是“按需定制基因片段”的工厂。hth官网登录在绝境之中，39岁的梅西再次站了出来，他化身为潘帕斯雄鹰的领航员。

2、越是上流人越下流？亿万富豪被曝猛料，生上百名孩子真相颠覆三观

西班牙队一路杀入半决赛的六场比赛中，亚马尔累计出场406分钟，展现出攻守兼备的特质，成为主帅德拉富恩特手中的重要棋子。

3、字母哥：我对夺冠的渴望达到百分之一百万 愿为夺冠付出一切

他将率领法国队征战接下来的欧国联，并向2028年欧洲杯以及2030年世界杯发起冲击。

4、总经理助理主动投案，习酒再陷高层震荡

在2026年美加墨世界杯的赛场上，阿根廷队以2-1逆转击败宿敌英格兰，成功挺进决赛，连续两届世界杯晋级决赛。

5、威少被甩了！拒绝他归队！无人报价！难道要退役？

锋线是法国最大的优势——姆巴佩的终结和反击速度、登贝莱的边路爆破、奥利塞的串联组织，组成了极具威胁的攻击群。

另外还有几名值得关注的年轻球员，包括卡马尔达、西塞和科莫托，他们上赛季在莱切、卡坦扎罗、斯佩齐亚都得到了锻炼，新赛季有机会成为一线队的一员。

而39岁的梅西，依然以8球4助攻的超神数据闪耀美加墨，梅西更是世界杯历史射手榜和助攻榜的领跑者，21球12助直接参与33球，是世界杯舞台的超级巨人，并带领阿根廷连续两届世界杯挺进决赛。

6、中国单日两金！连升5名超两位亚洲老对手，仍有3冲金点有望超日本

但汽车并不是它想停留的终点。

即使你不是泡泡玛特IP的受众，也可以在夏日的湖边，在梦幻浪漫的梦幻飞椅下，伴随着音乐小酌一杯。

7、CBA最新消息！辽宁山东放弃所有外援，同曦举报赵柏清，媒体人为曾凡博鸣不平

所谓的AI体验，无非是消除路人更干净了，录音转写更快了，语音助手稍微会聊天了。

礼来2011年创造的242.87亿美元营收纪录，直至2020年度拉糖肽销售放量后才得以超越，经历了“失去的十年”。

8、场均5+5！却能成尼克斯的“非卖品”！19岁男篮小将进入NBA或稳了

而加纳手握零失球的防线，只需一场平局就能稳稳出线。

面对土耳其队21次射门，澳大利亚防线组织井然有序，用最经济的方式拿下了比赛。

他先后集齐了国内几乎所有“大厂”的顶尖人才计划Offer，却选择了加入这家初创公司。

9、打卡

这些都有一个共同点：故事足够大，价格波动足够剧烈，只要押中一次，账面收益就可能很惊人。

过去，完成一首歌，从作词、作曲，到编曲、混音，再到录制演唱，每一个环节都需要专业能力。

10、西班牙捧杯拿走5000万，球员人均75万欧，48队奖金榜揭开足球真相

目前，宁德时代、比亚迪等十余家下游头部企业，已完成产品样品测试。

交割完成后，太洋科技将成为上市公司控股股东，蒋加富、蒋世城父子接棒成为新实控人。

1、篮网2026选秀确立三大核心需求

自研芯片和新一代大模型可能成为扭转谷歌“掉队”的关键因素。

2、詹姆斯去哪？不重要了！哈登下赛季有三个开放结局，或能因祸得福

后两层溢价全是零。

3、4人离队之后，山东男篮又1人或告别，俱乐部清理邱彪旧部有深意

之后，他没有进入未来队，而是直接外租斯佩齐亚登陆意乙职业赛场。新周刊 x 官栈法国队输在了中场被锁、战术被克、防线失误以及锋线哑火，更输在了失去了格列兹曼、博格巴、坎特这些能在关键时刻稳住阵脚的“阵眼”。

4、沃尔沃中国公开赛场外体验：高尔夫正在打入普通人的心灵

这支球队FIFA排名第14位，全队身价约4.78亿欧元，20名球员效力欧洲五大联赛，整体实力不容小觑。

5、詹姆斯：我天生就是领袖，我吃透了这项运动的每一处细节、内里逻辑！

汽车交付量也重回增长轨道，二季度交付480,126辆，一扫此前的阴霾。

6、詹姆斯：我天生就是领袖，我吃透了这项运动的每一处细节、内里逻辑！

这让米兰和经纪人门德斯在运作其转会时面临复杂局面。

三夫户外最终意识到，代理品牌永远不是自己的品牌，因此收购了X-BIONIC中国商标及知识产权，希望把经营权变成所有权。

八分之一决赛对葡萄牙，比赛胶着，谁先眨眼谁出局，费兰送出了那脚直塞，让梅里诺在第91分钟完成绝杀。

7、揭秘詹姆斯推迟决定：因萧华催促生气 有望回骑士+三方交易送走阿伦

综合来看，葡萄牙在硬实力上占据绝对优势，首轮被逼平后第二轮战意强烈，必须全取三分才能确保出线主动权。

这已是荷兰人加盟巴萨七年来，伤病簿上最新的一笔。

8、开拓者7人上双力克掘金 杨瀚森13+5+3+4帽填满数据栏

财报会依然没有给出具体产量和正式搭载付费乘客的时间表。

过去两届世界杯，姆巴佩曾在19岁时随队登顶世界之巅，也曾在23岁时上演世界杯决赛帽子戏法斩获金靴，两届世界杯就手握1冠1亚的傲人履历。

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。

在高强度的研发投入下，特斯拉Q2 研发费用为 23.71 亿美元，同比增长 49%。