An Intellyx Brain Candy Brief The word ‘quantum’ appears in several beyond-cutting-edge disruptive technologies currently in the works: quantum computing, quantum cryptography, quantum entanglement, and…
An Intellyx Brain Candy Brief Historically, Timesys has provided security solutions for embedded Linux-based software at the heart of devices at factories, hospitals, and many…
An Intellyx Brain Candy Brief After years of working with and within large enterprise organizations, the founders of OrangeGrid realized two important things. The first…
When it comes to technology, I’m an optimistic fellow. Not only do I believe the ongoing innovation in tech is inexorable, I’d go so far…
By CSDN 摘要： 去年年初，微软公司推出了一款名为DeepCoder的机器学习系统，同时宣称该系统具有自我编码的能力，这一举动又将人工智能的发展向前推进了一步。 正如人工智能是建立在众多机器学习或深度学习方法之上一样，DeepCoder创建的代码也是基于大量现有代码示例，研究人员通常会用这些代码进行系统的训练。 去年年初，微软公司推出了一款名为DeepCoder的机器学习系统，同时宣称该系统具有自我编码的能力，这一举动又将人工智能的发展向前推进了一步。 正如人工智能是建立在众多机器学习或深度学习方法之上一样，DeepCoder创建的代码也是基于大量现有代码示例，研究人员通常会用这些代码进行系统的训练。 其结果是：DeepCoder编写的软件汇集了部分其它人工编写的程序，著名的杂志《连线》将这称之为“掠取其它软件”。 当然，尽管DeepCoder存在不尽如人意的地方，但该让软件自己进行应用程序编写这项研究仍旧是一项具有非凡的工作，也有着令整个数字世界为之振奋的前景。 Read the entire article at https://blog.csdn.net/xstardust/article/details/81112083
In his opening remarks at the Subcommittee on Monetary Policy and Trade (Committee on Financial Services) Hearing: ‘The Future of Money: Digital Currency’ on July…
An Intellyx Brain Candy Brief The ecosystem for manufacturers’ coupons is notoriously inefficient, with multiple intermediaries, long clearing times, and insidious fraud issues. Digital technologies…
An Intellyx Brain Candy Brief StreamData offers a real-time data platform that is able to discover streaming data sources, bring their metadata into a consistent…
By BP Logix “BP Logix’s Process Director 5.0 sits at the intersection of two emerging trends that are essential to the digital transformation of the…
By Ben Linders 在Forbes文章“低代码/无代码运动：比你想的更具有颠覆性”中，Jason Bloomberg介绍了业界对无代码和低代码的差别的认识： 无代码面向的是“公民开发者”，即业务用户，他们可以构建一般来说功能有限的应用，而不必编写一行代码。相比之下，低代码主要是面向专业开发人员，简化他们的工作——交付企业级应用程序，而很少或无需手工编码。 Jason Bloomberg指出，模型驱动方法和人工智能领域的创新将使得低代码和无代码之间的差别消失。他说，这会产生“对公民开发者而言足够简单而对专业开发团队而言足够强大的工具”，软件开发人员的需求量会减少： 如果你是一名喜欢编码的编码人员，并非一切都完了——但是，随着这种趋势的发展，你在企业开发团队中可能就没有位置了。 Read the entire article at http://www.infoq.com/cn/news/2018/07/no-code-low-code
