E-book on AI systems by Kyield

Learn about the background of Kyield and the multi-disciplinary science involved with AI systems, with a particular focus on AI augmentation for knowledge work and how to achieve a continuously adaptive learning organization (CALO). Read More

Priority considerations when investing in artificial intelligence

Recent investment in AI is primarily due to the formation of viable components in applied R&D that came together through a combination of purposeful engineering and serendipity, resulting in a wide variety of revolutionary functionality. However, since investment spikes also typically reflect reactionary herding, asset allocation mandates, monetary policy, and opaque strategic interests among other factors, caution is warranted. Read More

We must empower a more diversified economy in 2016

The post WW2 era we grew up in provided the best economic conditions the world has ever known. The baby boom population explosion, of which I am at the tail end of, combined with vast sequential gains in productivity to create the ‘miracles’ of economies in the U.S., Japan, Germany, and China among others, or so it seemed. Read More

New E-Book: Ascension to a Higher Level of Performance

I just completed an extensive e-book for customers and prospective customers, which should be of interest to all senior management teams in all sectors as the content impacts every aspect of individual and corporate performance.

Ascension to a Higher Level of Performance

The Kyield OS: A Unified AI System Read More

Recent trends in artificial intelligence algorithms

Those of us who have been through a few tech cycles have learned to be cautious, so for the second article in this series I thought it might be helpful to examine the state of AI algorithms to answer the question: what’s different this time?

I reached out to leading AI labs for their perspective, including Jürgen Schmidhuber at the Swiss AI Lab IDSIA. Jürgen’s former students include team members at Deep Mind who co-authored a paper recently published by Nature on deep reinforcement learning. Read More

Discover Kyield on the voyage to CALO (continuously adaptive learning organization)

Consider that learning algorithms are very likely (or soon will be) improving the intelligence quotient and operational efficiency of your chief competitors at an extremely rapid rate. Read More

Applied artificial intelligence: Mythological to neuroanatomical

While artificial intelligence (AI) has roots as far back as Greek mythology, and Aristotle is credited with inventing the first deductive reasoning system, it wasn’t until the post WWII era of computing that we humans began to execute machine intelligence with early supercomputers. The science progressed nicely until the onset of AI Winter in the 1960s, representing the beginning of severe cycles in technology. A great deal of R&D needed to evolve and mature over the next five decades prior to wide adoption of applied AI — here is a brief history and analysis of the rapidly evolving field of artificial intelligence and machine learning. Read More