Exponential productivity through optimization of knowledge yield with distributed artificial intelligence systems

AI systems create value by converting human knowledge to digital form that can then be converted to other forms of energy, including kinetic. At the atomic level knowledge created by human intelligence and augmented by machine learning can be viewed and expressed as an extension of relativity discovered by Einstein more than a century ago. Read More

How-to guide for preventing school massacres

Prevention of human-caused catastrophes has long been a top priority of our R&D. We have a desire and an obligation to provide insight into what can be done to prevent school shootings and other similar human-caused catastrophes.  I sincerely hope this modest attempt to help will assist in taking specific pragmatic actions to save lives. Read More

Why every company needs a new type of operating system enhanced with artificial intelligence

Even though some companies may seem well positioned, the fundamental economic and business environment is rapidly changing. To the best of my awareness, survival from this point forward will essentially require a strong AI OS for the super majority of organizations. Read More

A million in prevention can be worth billions of cure with distributed AI systems

Every year, natural catastrophes (nat cat) are highly visible events that cause major damage across the world. In 2016 the cost of nat cats were estimated to be $175 billion, $50 billion of which were covered by insurance, reflecting severe financial losses for impacted areas.[i]  The total cost of natural catastrophes since 2000 was approximately $2.3 trillion.[ii] Read More

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

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

Converting the enterprise to an adaptive neural network

Those tracking business and financial news may have observed that a little bit of knowledge in the corner office about enterprise architecture, software, and data can cause great harm, including for the occupant, often resulting in a moving van parked under the corner suite of corporate headquarters shortly after headlines on their latest preventable crisis. Exploitation of ignorance in the board room surrounding enterprise computing has become mastered by some, and is therefore among the greatest challenges for emerging technology that have the capacity for significant improvement. I spend more time and energy on dispelling myths than I would prefer necessary, but so be it. The issues surrounding neural networks requires total emersion for extended duration. Many organizations lack the luxury of time, so let’s get on with it.
Read More