Just saw the coded euphemism again. “People should focus on more value-add activities while machines take care of the drudgery.”
No, this was not the usual call center automation or the automated claim assignment sort of things that we hear about all the time.
This ‘drudgery’ automation was aimed at…
Photo by Austin Distel on Unsplash
Effectiveness seems to be more important than efficiency. Being effective means my effort is meeting its purpose. I am achieving my goals. This is distinct from being efficient in my efforts. …
Recent advances in deep neural networks have had such sweeping impact that the real story of artificial intelligence may be just beginning. There will still be lots of hope, hype, and impatience, but it seems clear now that AI will impact every aspect of 21st-century life — possibly in ways even more profound than the internet.
Current AI revolution would not be possible without enablers. In fact, a lot of AI is theory is not really new even though some techniques are. But it is the many other environmental factors that are reaching critical mass — enabling AI realization.
We now have cheaper, powerful, miniaturized computing; increasing streams of accessible data; higher consumer expectations with digital personal assistants and self-driving cars; serious public policy discussions around employment and universal basic income — and even draft proposals on changes to laws if AI were ‘people’ and had ‘ethical challenges’.
Tracking AI progress means tracking advances and challenges in all of these environmental enablers too.
…, history and science tells us that technological progress will happen. It’s just a matter of when. And when we do combine the self-improvement ability of machine learning with the self-preservation design of blockchain, will we then create a digital version of machine DNA, in order to preserve and protect the AI’s we will come to rely on to run our lives and economies?
“Self-preservation design” of the blockchain is threatened by quantum computing with its potential encryption busting applications. Blockchain and Machine Learning are a powerful mix for AI “DNA”, but impact of quantum computing should be threaded into the discussion here.
While the AI is becoming smarter by slurping up all knowledge in its cave somewhere, our ‘dumb’ systems already use knowledge stored as ‘data’.
Before joining the hunt for this hidden knowledge, let’s agree on a couple of working definitions.
Data are interrelated facts about an entity or group of…
“I don’t have time to connect to the knowledge-pump right now. So, I will just take the jar today. And also this medium coffee, please. Thanks!”
This dialog is science fiction even twenty years after Neo learnt martial arts in a few minutes through a pipe connected to his brain…
Seems a series of good-enough sketches are more effective in building general intelligence — as opposed to most current machine learning techniques that emphasize more data to get to sharper and high-fidelity patterns.
Concepts are imagination ‘sketches’ involving objects and actions.
Recursive Cortical Networks (RCN) are used for representing concepts…
KnowledgePods: Transacting in #Knowledge beyond #AI