Featured

Reading Automation is Here – Reading at the Speed of Tomorrow

By Ryan Welsh In 2018 I was an applied math and quantitative expert that worked for a prestigious law firm in New York City. The Friday before Lehman Brothers filed for bankruptcy and kicked off the 2008 global financial meltdown, I was tasked with reading around three years’ worth of information in three days to […]

3 Major Defense Intelligence Trends from DoDIIS

Earlier this month we attended the Department of Defense Intelligence Information System (DoDIIS) Worldwide Conference, and did a demonstration of Kyndi’s Anticipatory Computing Environment. This year’s theme was “cybersecurity” and featured senior leaders from the Intelligence Community, Department of Defense, and partnering civilian, military and industry solutions providers. We were excited to participate in the […]

Kyndi CEO Responds To NY Times Op-Ed On AI’s “Dirty Little Secret”

In a recent New York Times op-ed, Gary Marcus, a professor of psychology and neural science at New York University, commented: “AI is colossally hyped these days, but the dirty little secret is that it still has a long, long way to go.” Though Marcus conceded that “AI is exploding with microdiscoveries,” he remained critical […]

DARPA and The Third Wave of AI

In February, U.S. Defense Advanced Research Projects Agency (DARPA) released the video “A DARPA Perspective on Artificial Intelligence,” featuring John Launchbury, the Director of DARPA’s Information Innovation Office. There is so much to love about this video.   First, it was great to see how knowledge-based expert systems are still in use today despite constant […]

AI: Adapting to New Worlds by Generating Ontologies

Six years ago, my family and I moved to America. When we got here, we had to come to terms with a whole new way of speaking/thinking/being. Things as simple as asking for “takeout” rather than “takeaway” when you were ordering food made a massive difference. Or for example, ordering a hamburger and being faced […]

Skipping stones: Language and the mystery of meaning

Kyndi works in the domain of modeling and understanding natural language. To explain why this is a worthy challenge, I’d like to share some thoughts on what makes language, or “unstructured data,” so hard to work with. Every piece of writing is more than the sum of its words. Think of writing—or speaking—as a way […]

Did Kyndi Upgrade PageRank?

In 2004, Kyndi’s Paul Tarau had an interesting idea. What if you could create an algorithm similar to Google’s PageRank algorithm that ranked the relative importance of words and sentences in text documents? The algorithm could be very useful in Natural Language Processing. It would extract the meaning from text documents and summarize it for […]

The Waves of AI

Kyndi is bringing a new type of AI to market. To explore how it’s new, let’s start with some AI characteristics using a scheme from DARPA. In this scheme, we can think about AI goals as having four categories: perceiving, learning, abstracting, and reasoning. Using these categories, we can see how AI has evolved, and where it […]

How would 1000 smart interns change your business?

Imagine having 1000 smart interns working for you for a single day. Now imagine what you could accomplish with them working for you every day — for free. What could 1000 interns do that would make a measurable difference to your business? How could they empower your people? This isn’t how we talk about AI […]

Building Global Partnerships at Kyndi

“We need to work with the rest of the world, as Kyndi will never own all the smart people,” says Michael Harries, CTO of Kyndi. “There are tremendous benefits in doing so. We’re a small company now, and as we grow, open innovation will become an ever larger part of our strategy for building, finding, […]

What AI Can (And Can’t) Teach Us About History

Combined, Artificial Intelligence (AI) and big data offer researchers in every field opportunities that didn’t exist a few short years ago. But as more data has become available to researchers, the ability to analyze this data in a meaningful way has become more and more problematic. In the “hard” sciences and especially in the social […]