As artificial intelligence (AI) developers strive to deliver the potential of their applications to future battlefields, the largest stumbling block will likely be the lack of data engineering for an appropriate backside network and automation infrastructure. The following article in SIGNAL Magazine outlines where the DoD may want to start in governing data engineering for … More Data Engineering for AI at the Tactical Edge
As organizations throughout the DoD sprint to develop in-house machine learning applications the time has come to establish a broader vision and set of resources for the DoD community. I argue for joint teams integrated with active duty, civilians, and contractors in this piece in SIGNAL Magazine.
If you have not heard of AI-backed natural language generation systems – the time has come for you to consider the topic. During my studies at Carnegie Mellon University – I have been exploring this technology and considering various applications and their associated benefits and risks. If you want a sampling of where the field … More This essay was written by AI (artificial intelligence)
As the DoD drives forward with investments in machine learning, data science, and autonomy – the time has come for leaders to consider how the rise of AI technologies can transform education and training. In this article in Army Magazine, I review leading research on expertise and its development and make the case that new … More Digital Coaches can Produce Expert Soldiers
Next addition to the conversation on AI and unmanned systems on future warfare at Army Magazine. Unmanned Outlook: Autonomous Systems Promise Both Strengths, Weaknesses
The time has come for the Army to consider the impact that artificial intelligence and unmanned systems will have on its operating environment and determine how best to adapt and apply these advancements. The following article, published in Army Magazine, delves into this discussion and offers a few start points for policy makers and military … More Meet Your New Battle Buddy: Soldiers Will Pair With Smart Machines to Fight Future Battles
Managing machines that learn is not just a problem for computer scientists anymore. Corporations, governments, and militaries are looking for where to start their journey with these emerging capabilities. If interested on where to begin please find a short piece I wrote featured in SIGNAL Magazine.
At, or near the top of Gartner’s Hype Cycle for Emerging Technology, 2017 sits machine learning and artificial intelligence (AI). To understand precisely what these concepts are and what they will disrupt – we need to do some homework. The following list of key readings will help policy makers and military strategists alike set a … More Machine Learning and Artificial Intelligence – What to Read Now
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