内容简介：Neurable’s software uses machine learning to measure and classify EEG signals in real time. By combining our proprietary algorithms with deep neuroscience knowledge, Neurable achieves levels of performance that far exceed the current state-of-the-art for d
Translating brain signals into practical insights
Neurable’s software uses machine learning to measure and classify EEG signals in real time. By combining our proprietary algorithms with deep neuroscience knowledge, Neurable achieves levels of performance that far exceed the current state-of-the-art for detecting brain activity.
Our NeuroSelect SDK enables natural and intuitive user interactions by translating control signals from the brain into human intent. Today, Neurable's software controls VR, AR, and XR environments. In the future, we will enable hands-free, voice-free control of mobile devices.
Our NeuroInsight SDK delivers raw data and cognitive insights, which can be used to build apps to tailor experiences to a user’s brain state. Today, our software provides tools to measure the efficacy of VR simulation training for industrial and military applications. In the future, consumers will have access to their own brain data, like other wearable devices help to track our heart rate and count steps.
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多任务下的数据结构与算法
周伟明 / 华中科技 / 2006-4 / 58.00元
本书和传统同类书籍的区别是除了介绍基本的数据结构容器如栈、队列、链表、树、二叉树、红黑树、AVL树和图之外，引进了多任务；还介绍了将任意数据结构容器变成支持多任务的方法；另外，还增加了复合数据结构和动态数据结构等新内容的介绍。在复合数据结构中不仅介绍了哈希链表、哈希红黑树、哈希AVL树等容器，还介绍了复合数据结构的通用设计方法；在动态数据结构中主要介绍了动态环形队列、动态等尺寸内存管理算法。在内存......一起来看看 《多任务下的数据结构与算法》 这本书的介绍吧!
