XiaoMi-AI文件搜索系统
World File Search Systemintegrates
通信安全的愿景
供应链是由一对买卖双方组成的，一方面有一个最终的买家购买商品和/或服务，而在链条下，有实体既可以用作卖方又是买家。他们出售给上游买家，并从下游卖家购买。一些下游实体只是将货物和/或服务从下游卖方传递给上游买家（通常称为“批发商”），有些也为最终产品贡献了某些元素。An example of a wholesaler would be a vegetable grocer that buys from the farmers by the tons and sells to the consumers by the kilo, while another example could be of a data centre operator that rents office space from one entity, buys 19" racks from another entity, computers from another entity, software licenses from yet another entity, integrates and assembles them all and sells computation capacity or storage space to ICT consumers.
认知科学
Cognitive science is the study of the human mind and brain, focusing on how the mind represents and manipulates knowledge and how mental representations and processes are realized in the brain. Conceiving of the mind as an abstract computing device instantiated in the brain, cognitive scientists endeavor to understand the mental computations underlying cognitive functioning and how these computations are implemented by neural tissue. Cognitive science has emerged at the interface of several disciplines. Central among these are cognitive psychology, linguistics, and portions of computer science and artificial intelligence; other important components derive from work in the neurosciences, philosophy, and anthropology. This diverse ancestry has brought into cognitive science several different perspectives and methodologies. Cognitive scientists endeavor to unite such varieties of perspectives around the central goal of characterizing the structure of human intellectual functioning. It is this common object of inquiry that integrates traditionally separate disciplines into the unified field of cognitive science.
Cascade Residual Multiscale Convolution and Mamba- Structured UNet for Advanced Brain Tumor Image Segmentation
Abstract: In brain imaging segmentation, precise tumor delineation is crucial for diagnosis and treatment planning. Traditional approaches include convolutional neural networks (CNNs), which struggle with processing sequential data, and transformer models that face limitations in maintaining computational efficiency with large-scale data. This study introduces MambaBTS: a model that synergizes the strengths of CNNs and transformers, is inspired by the Mamba architecture, and integrates cascade residual multi-scale convolutional kernels. The model employs a mixed loss function that blends dice loss with cross-entropy to refine segmentation accuracy effectively. This novel approach reduces computational complexity, enhances the receptive field, and demonstrates superior performance for accurately segmenting brain tumors in MRI images. Experiments on the MICCAI BraTS 2019 dataset show that MambaBTS achieves dice coefficients of 0.8450 for the whole tumor (WT), 0.8606 for the tumor core (TC), and 0.7796 for the enhancing tumor (ET) and outperforms existing models in terms of accuracy, computational efficiency, and parameter efficiency. These results underscore the model's potential to offer a balanced, efficient, and effective segmentation method, overcoming the constraints of existing models and promising significant improvements in clinical diagnostics and planning.
Formosa Plastics Group
i n 2 0 2 3，f orm osa塑料g roup b id fare to for to the Old Headq Uarters b Uilding（1 9 7 6 -2 0 2 3）。I n the new b uilding in Neihu, the G roup ' s m ost im p ortant Corp orate Managem ent Philosop hy of " diligence, p erseverance, frugality, and trustw orthiness" integrates the Taiw an industrial develop m ent relief w ork s p ersonally designed b y President W en-Y uan W ong in 1 9 9 7 .The relief w ork s, nam ely " L eaving the Mainland for Taiw an, " " Cultivating the L and, " " D evelop ing L ight I ndustries, " " D evelop ing the Petrochem ical I ndustry, " and " Outlook s on the Electronics I ndustry, " com p lem ent each other, show ing that the Managem ent Com m ittee has not only inherited the sp Tw o创始人的Irit，B ut还携带它，并导致所有Em Ployees连续出现Ex p和G Roup的脚步rint并达到新的高度！
Amindorostian- Amin Udunanian的个人页面
机器学习工程师|创始人2月。2021 - Present • ECA : [ONGOING] Building Enterprise Coding Assistant, a developer tooling that integrates seamlessly with existing workspace apps and leveraging Generative AI (LLMs) makes software development much more efficient Full-stack development of the application (Svelte, Tailwind, Python, Docker, Kubernetes, CI/CD, OIDC support, Event-driven architec- ture) • MN资产管理：[正在进行的]进行数据枢纽，以提供数据驱动的体系结构，使各种应用程序Spark，Kafka，Kubernetes，kubernetes，airfflow，aws•ABN AMRO银行：建立数据科学家将其模型带到生产Kafka，Azure Cloud Managed Services（Active Directory等）的平台），气流，kubernetes•deribit：帮助，加密世界中最大的衍生品交换之一，发现使用ML的恶意交易。使用Google BigQuery，ML引擎和DataFlow分析超过1000亿行的行•BITVAVO：为荷兰加密货币现场交换的BigData解决方案工作，以便为他们提供有关客户的见解。为他们的数据管道技术堆栈奠定基础：Kafka，BigQuery，Python，Kubernetes，CI/CD•Neurololytics：AI平台的MLOPS和建筑设计
脑机整合：从整合视角设计脑机接口的框架
脑机接口 (BCI) 系统具有促进人类繁荣和自我实现的潜力。然而，我们认为当代的 BCI 系统设计方法不必要地限制了这些潜力，因为它们是从传统的交互角度出发的，产生了命令响应体验。本文提出超越“交互”，走向人机集成范式。该范式的潜力通过三个原型得到展示：Inter-Dream，一个与大脑自主生理过程集成的系统，可推动用户进入健康的睡眠状态；Neo-Noumena，一个与用户的情感神经生理学集成的系统，可增强人际情感交流；PsiNet，一个整合人际大脑活动以扩大人际联系的系统。对这些原型的研究证明了集成范式在实现 BCI 系统的多方面优势方面的优势，这项工作提出了脑机集成框架，以帮助指导未来 BCI 集成的设计人员。
本课程重点关注循环和可持续多商业模式创新与技术。循环经济的设计、再造和发展
本课程专注于循环和可持续多商业模式创新与技术。循环和可持续多商业模式 (CSMBM) 的设计、再造和开发整合了 CSMBM 创新、CSMBMI 战略、CSMBMI 开发和 CSBM 案例。本课程还将 CSMBM 创新思维概念融入多商业模式创新和开发过程中。CSMBMI 案例研究展示了战略性 CSMBMI 理念如何在商业模式生态系统中带来成功的技术和商业模式。
FAIRSCAPE：面向生物医学研究的不断发展的人工智能准备框架
结果：FAIRSCAPE 框架生成、打包和集成关键的预模型 XAI 描述元数据，包括深度来源图和数据字典，以及对上传数据、软件和计算的功能验证，特别参考生物医学数据集。它提供数据集的道德和语义特征以及许可和可用性信息，并与 NIH 推荐的通用存储库无缝集成。该服务器符合云标准，并以 Python3 实现。Python3 中的客户端软件可以从命令行或直接作为 Python 函数调用。我们提供 REST API 和基于 JavaScript 的 GUI 客户端。