大公司： 马斯克在社交平台表示："实现干电极工艺的规模化生产，这在锂电池生产技术上是一项重大突破，难 度极高。祝贺特斯拉工程、生产和供应链团队以及我们的战略合作伙伴供应商取得的卓越成就。"特斯 拉回应称，干电极制造工艺可降低成本、能源消耗和工厂复杂性，同时显著提高可扩展性。（智通财 经） 智元机器人将举办全球首个大型机器人晚会"机器人奇妙夜" 据知情人士称，智元将不参加2026年马年春晚。原因是预算有限的前提下，智元优先保障具身智能技术 及产品研发的费用。另据知情人士透露，智元机器人正在彩排全球首个大型机器人晚会"机器人奇妙 夜"，该晚会由数百台各类机器人主导，集合唱歌、跳舞、小品、走秀等多元节目，将于近期上线直 播。（智通财经） 东京电力公司启动重组，公开寻求联盟伙伴 日本公用事业公司东京电力公司周一表示，作为其重组努力的一部分，为改善财务状况并寻求增长，已 开始寻找潜在的联盟伙伴。寻求合作伙伴的期限将持续到3月31日。据当地媒体报道，此次合作可能导 致东电的重大重组。东电是福岛第一核电站的运营商，公司正面临日益增加的核电站退役、清理作业以 及赔偿成本。东电公司此前表示，计划通过重组在未来10年内削减约31 ...

Elekta (OTCPK:EKTA.Y) Update / briefing January 30, 2026 08:00 AM ET Company ParticipantsAnming Gong - Head of Region ChinaArdie Ermers - Head of Region AmericasChristopher Busch - Chief Product and Technology OfficerJakob Just-Bomholt - CEOJohan Unnérus - AnalytikerKavya Deshpande - DirectorKristofer Liljeberg - Head of Research in SwedenPeter Nyquist - Head of Investor RelationsVeronika Dubajova - Managing DirectorConference Call ParticipantsErik Cassel - Healthcare Equity AnalystJonathon Unwin - VP of Eu ...

Elekta Strategy Update The Elekta team today Peter Nyquist Head of Investor Relations Jakob Just-Bomholt President & CEO Christopher Busch Chief Product and Technology Officer Anming Gong Head of Region China Ardie Ermers Head of Region Americas January 30, 2026 Agenda | 01. | Welcome & Introduction | Peter Nyquist, Head of Investor Relations | | --- | --- | --- | | | Elekta's performance | | | 02. | in Radiotherapy | Jakob Just-Bomholt, President & CEO | | | Elekta's 4 "Must-Win | Jakob Just-Bomholt, Presi ...

Core Insights - The article discusses the evolution of large language models (LLMs) and highlights the limitations of existing linear recurrence and state space models in terms of computational efficiency and performance [1][3]. - A new approach proposed by Radical Numerics and the Montreal University team focuses on redefining linear recurrences as hardware-aligned matrix operations, aiming to enhance GPU memory utilization and computational efficiency [1][2]. Group 1: Challenges and Limitations - The primary challenge identified is breaking through the "memory wall" associated with linear recurrences, which limits performance due to high communication costs in modern hardware [3][7]. - Traditional parallel scan algorithms, while theoretically efficient, struggle with data access patterns that lead to frequent global memory synchronization, thus failing to leverage data locality effectively [4][5][6]. Group 2: Proposed Solutions - The paper introduces the Sliding Window Recurrences (SWR) as a method to achieve high throughput by strategically truncating the computational horizon, utilizing a jagged window structure that aligns with hardware workloads [10][11]. - The Block Two-Pass (B2P) algorithm is developed to implement this theory, dividing the computation into two phases to optimize memory access and minimize data movement [14][15]. Group 3: Phalanx Layer and Performance - A new computing layer called Phalanx is designed based on the B2P algorithm, serving as a seamless replacement for sliding window attention or linear recurrence layers, ensuring numerical stability during long sequence processing [19][20]. - In systematic tests on a model with 1.3 billion parameters, the Phalanx hybrid model demonstrated significant performance advantages, achieving 10% to 40% end-to-end speedup in training throughput across varying context lengths [23][24]. Group 4: Industry Implications - The findings from the paper indicate that true efficiency in LLMs arises not just from reduced algorithmic complexity but from a deep understanding and alignment with the physical characteristics of underlying computational hardware [31][32]. - As LLMs evolve towards larger context sizes and real-time embodied intelligence post-2025, hardware-aware operator design will be crucial for developing more efficient and powerful AI systems [33].

Core Insights - The workplace is evolving into vibrant environments that emphasize collaboration, culture, and purpose, moving beyond traditional, routine-focused settings [1] - Allsteel is leading this transformation by identifying trends that shape the future of work and guiding organizations in reimagining their spaces to enhance employee empowerment and performance [1][2] Conscious Materials - Sustainability has become a core expectation in workplace design, with thoughtful material choices reducing environmental impact and promoting healthier spaces [3] - Allsteel's redesigned Evo product features a Zero Waste Knit Back made from SEAQUAL® yarn, which is produced from upcycled marine litter, demonstrating a commitment to sustainability without sacrificing aesthetics [3] Power of Personalization - Workplaces should reflect their organization's culture and values, fostering creativity and collaboration through personalized spaces [4] - Allsteel's expanded Customer's Own Material (COM) program allows for a broader selection of textiles, enabling companies to create environments that resonate with their unique identity [4] Versatile Design for Agile Spaces - Modern offices must support various work modes, leading to the rise of multi-use spaces with modular furniture and dynamic layouts [5] - Allsteel's research indicates that agile design enhances productivity and culture by allowing quick transitions between collaboration and focus, with solutions like Beyond® Walls providing significant sustainability benefits, including a 56% reduction in carbon emissions upon installation [5] Company Overview - Allsteel, part of HNI Company since 1912, offers a comprehensive range of workplace products and solutions, aligning workplace strategy with business strategy for meaningful change [7]