Beliefs, assumptions, scenarios expectations, and other similar expressions refer to possible futures events with some scope, time, likelihood, and potential outcomes and results. A company’s World Model should be populated with such information. We call those beliefs, and propose that they are entered in a Belief Manager. This potential system component is outlined in theContinue reading “World Model is a set of Beliefs”
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World Models in Enterprise Automation
The previous post about autonomous systems discussed World Models in a narrow domain. My goal is to outline, understand and eventually build automated workflows in enterprise environments. The following discussion about Enterprise World Models, Belief Management and Robust Actions v.s. perfect foresight is the next conceptual step
Thinking about World Models
I have spent time in figuring out how the general CMLS architecture would apply to workflows in an enterprise. To get to an understanding I ended doing intellectual – or at least mental – circles and spirals, and needed to start from basics. So here are a few pages of a students journey through enterpriseContinue reading “Thinking about World Models”
Smart system cost
We will create a somewhat concrete, yet still hypothetical example. We’ll illustrate the total cost over a year (365 days) of operation for the following scenario: The system is a free-roaming four legged front-loader robot. It has two arms to handle parcels and packages. The arms have sensors for weight and surface characteristics – “gentleContinue reading “Smart system cost”
Development cost of an AI system
Ainolabs talks about systems, entities that are operated for defined purposes and with expectations of generating value to their developers, owners, users and other stakeholders. Value depends on the business case. The cost can be estimated, and we’ll get to this formulaic expression below: Systems are developed, launched, updated, supported and eventually replaced or discarded.Continue reading “Development cost of an AI system”
Elements of Trust
An essential part of the architecture for continuous machine learning are the trust relationships between components and participants of a system and with possible external parties – contributing actors. Content credentials https://contentcredentials.org/ attempts to address trust by placing a mark on content. This assumes that the recipient trusts the mark, and that the marks areContinue reading “Elements of Trust”
Architecture for Continuous Machine Learning
Ainolabs architecture for Continous Machine Learning Systems (CMLS) is designed to support non-interrupted operation, modular construction, system and data integrity, scalability in system design and operation and robust continuous operation. These capabilities result in a machine learning system that can meet requirements on privacy, confidentiality and adapt to changing circumstances. The blocks and the wholeContinue reading “Architecture for Continuous Machine Learning”
Balls, cubes and pyramids
Or — how to create concepts? Consider a robot hand exploring its environment by touch alone. Add visual aspect, or a camera. Then there is verbal side, written and spoken, text seen and voices heard. The hand is given a bunch of objects, the camera is viewing the action and the verbal – bot, chatgptContinue reading “Balls, cubes and pyramids”
How to build a Barista Robot of parts?
Ainolabs’ search for Holy Grail is to build sufficiently advanced system to can replace an experienced professional. That Holy Grail is challenging for several reasons, but mostly because the way to do that would be to collect an immense amount of multi-channel data about professional environment and then to process that into a single, all-encompassingContinue reading “How to build a Barista Robot of parts?”
Who can you trust?
Setting computers and technical gadgets aside for a moment – who and what can you trust? If you trust something to happen – sunrise tomorrow – you perhaps rely on substantial past experience. A philosopher might point out that past experience does not guarantee future: It is somewhat possible that the sun has collapsed 8Continue reading “Who can you trust?”
Modular AI systems 