In our new episode of Machine Learning, Artificial Intelligence, and Data Science in the Knowledge-Driven Enterprise, we discuss business drivers, future vision, technologies, and the framework supporting proactive user experiences in information technology.
In this episode of the Knowledge-Driven Podcast, MITRE’s Tamara Ambrosio-Hemphill guides us through the decision-support tools MITRE has been developing to help the U.S. safeguard critical infrastructure across the globe while building partnerships and helping allies create a better future for their citizens.
在这本斜切知识驱动的播客的这一部分中，数据分析工程师Steffani Silva使我们内部了解了AI Nexus一代的内部运作，这是MITER，大学和政府之间的合作，教育学生，以及教授，以及教授，以及教授在人工智能和可访问数据的力量。
您是否曾经想过Google Maps的工作原理？该应用程序如何计算最快的路线，以及如何如此迅速地进行操作？答案可能会让您感到惊讶 - 在这些导航应用程序的骨干上，软件是图理论。
根据独立网站政府技术的说法，“许多政府机构都有一个非结构化的数据噩梦，散布在服务器，云和虚拟机上的位和字节。”Vernor Vinge称此所谓的噩梦为“数据过剩”。在物联网（IoT）时代，数据插槽可能不会变得更好，实际上，可能会变得更糟。
曾几何时，当我在公共场合戴医疗面具并不常见时，我是俄克拉荷马大学的机械工程专业学生。正如去过东南的任何人都会知道的那样，俄克拉荷马州就是石油国家。因此，当我在大三的春季学期参加职业博览会时，我已经过滤了所有与石油行业有关的公司。我只剩下少数公司引起了我的兴趣。这些公司之一是斜切。
随着数据科学在受欢迎程度和使用中爆炸爆炸，因此用于解决域中问题的工具也是如此。这些开源程序和编程套件中的一些已经变得非常受欢迎，因此，开发人员设计了大量代码，这些代码可能被称为附加组件，扩展程序和软件包，以提高功能和节省经验丰富的用户的时间新的。
Although the moniker data scientist implies that the role centers around manipulating data and modeling it, visualizing data and creating visualizations are an integral part of the daily workflow for practicing data scientists like me. Not only do visualizations allow us to communicate results quickly and efficiently, but visualizing is a key tool during exploratory data analysis, data cleaning, modeling, and other steps of the process of telling stories with numbers.
实习生的经典概念是一个奴才，他带来了人们的咖啡，修理打印机的果酱并进行了咕unt的工作。但是，由Miter的新兴技术部雇用的实习生不是奴才。他们是负责帮助解决压倒性社会问题的学生调查人员。阅读其中四个实习生及其夏季工作的个人资料。
一名计算机科学家着眼于难民危机来建模大流行。
How does that connection work exactly and why? If it appears to resemble a scenario in which a farmer learns how to plant an apple orchard by examining the supply chain for manufacturing orange juice, well, you may actually be onto something. The novel coronavirus has presented unprecedented medical, social, and economic challenges, which means that the thoughtful people responding have no choice but to innovate. However, in 2020, innovation doesn’t mean going where no one has gone before. It means harvesting everything that has come before in a disciplined way to see what might bear fruit.
2019年11月，一位苹果卡客户和他的妻子单独申请Apple Card信用额时抱怨，他的妻子的信用额度是他在社区财产州共同拥有所有资产的事实，比他的信用额度低20倍。根据尼尔·维多尔（Neil Vigdor）在《纽约时报》上的一篇文章中的说法，一位苹果卡代表检查了此事，并回来说“这是算法”。
作为佛罗里达国际大学（FIU）的高年级学生，查理·拉米雷斯（Charlie Ramirez）和丝芙兰·让·玛丽（Sephora Jean-Mary）进入了最后一个学期，目的是寻找他们可以解决的现实生活问题。他们的高级设计顶石项目应该使这两个前端开发人员能够展示他们已经学到的计算机科学专业学生。
米特（Miter）提出了挑战：通过提醒大学生人工智能（AI）的力量来塑造美国的未来劳动力和经济。现在，通过称为AI Nexus一代（AI Gen）的一项倡议，在全国各地的学校都形成了这种愿景。
Instead of hitting the beach over the third weekend in September, more than 1,000 students from several Florida and southeast universities loaded up on caffeine, went without sleep, and were driven by a “will to do good.”
A woman who has always identified as Ashkenazi Jewish received a DNA testing kit from one of the ancestry services and participates on a whim. Surprise! Turns out her father was actually a non-Jewish sperm donor. It’s one of many fascinating and recent cases of renegotiating identity, along with stories about an adopted child finding their true birth family, or even individuals tracing their ancestry back to someone practicing witchcraft.
Dr. Philip Barry is the Technical Director for Modeling, Simulation, Experiments, & Analysis here at MITRE. When he’s not leading simulations work, he is teaching Risk Management at George Mason. Ever focused on bringing new tools and methodologies into the classroom, Dr. Barry partnered with George Mason and Joe Garner and Ali Zaidi from MITRE’s Generation AI Nexus (Gen AI) team, to create a first-of-its-kind lesson blending risk management with artificial intelligence (AI).
Ali Zaidi is a MITRE data scientist tackling an interesting challenge for MITRE as part of his work for Generation AI Nexus. As the fields of machine learning and data science have grown, the need for machine learning education has become a necessity of many fields few would associate with computer science.
MITER的网络安全工程师Jesse Buonanno专注于网络运营。杰西（Jesse）花时间学习区块链和加密货币。
What child can resist the challenge of building a tiny robot (or “bot”) using the head of a toothbrush, a button battery, and a pager motor?
恭喜！您已经建造了自动驾驶汽车！怎么办？将其带出来，以旋转那次越野旅行，看电影和从海到闪亮的大海时看电影和景观？