k·yield v. - Yield Management of Knowledge

Inspired by Nature. Managed by Humans. Assisted by AI.

We must empower a more diversified economy in 2016


Those of us growing up in the 1960s and 1970s experienced tumultuous times that had some similarities to the last decade (also featured at LinkedIn under 'economics' and  'big ideas & innovation')....→


Why go to the Moon when what your company really needs is in the Rockies?


This post is in response to an excellent article Tom Davenport wrote for the WSJ (now on LinkedIn) ‘Lessons from the Cognitive Front Lines: Early Adopters of IBM’s Watson’......→


Revolution in IT-Enabled Competitiveness


Most current industry leaders owe their existence beyond basic competencies and resources to a strong competitive advantage from early adoption of systems.....→


 

Recent trends in artificial intelligence algorithms


Much of the recent advancement in AI has been due to convolutional neural networks, which can be trained to mimic partial functionality of the human visual cortex....→


 
 
Kyield OS

The Kyield operating system provides optimal network management at the confluence of human and machine intelligence. The patented artificial intelligence system core is fully adaptive and tailored to the unique profiles of each entity with a simple to use interface. By applying advanced algorithmics, the Kyield OS can filter data at scale far beyond the ability of humans alone, enhance data integrity, improve productivity and provide rapid continuous learning for each individual, team, business unit and organization.

 

Complex Dynamics at the Confluence of Human and Artificial Intelligence


The topic of AI recently came up at Santa Fe Institute (SFI) during a seminar by Hamid Benbrahim surrounding research in financial markets. Several senior scientists chimed in during Hamid’s talk representing computer science (CS), physics (2), neuroscience, biology, and philosophy, as well as several practioners with relevant experience. SFI is celebrating its 30th anniversary this year as a pioneer in complexity research where these very types of topics are explored, attracting leading thinkers worldwide.....→


 
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While it is more challenging to achieve buy-in for organization-wide systems, it is physically impossible to achieve critical use cases otherwise, some of which have already proven to be very serious, and can be fatal. Moreover, very few distributed organizations can become a CALO without a holistic system design across the organization’s networks, particularly in the age of distributed network computing....→


 

Applied artificial intelligence: Mythological to neuroanatomical


In addition to neuromorphic chips, researchers are increasingly focused on the use of organic materials, which is part of a broader trend towards convergence of hardware, software, and wetware described by IARPA as cortical computing, aka neuroanatomical. The ability to manipulate mass at the atomic level in computational physics is now on the horizon, raising new governance issues as well as unlimited possibilities....→


Plausible Scenarios For AI in Preventing Catastrophes


Given consistent empirical evidence demonstrating that the raising of red flags has resulted in a lower probability of essential actors heeding warnings than causing of unintended consequences, those endowed with a public platform carry a special responsibility, as do system architects. Nowhere is this truer than at the confluence of advanced technology and existential risk to humanity.....→