Intels AI division is one of the unsung heroes of the modern machine-learning movement.
Its talented researchers have advanced the state ofAI chips,neuromorphic computing, anddeep learning.
And now theyre turning their sights on the unholy grail of AI: the hive mind.
Okay, that might be a tad dramatic.
But every great science fiction horror story has to start somewhere.
It’s free, every week, in your inbox.
… A set of agents is represented as a multi-headed neural internet with a common trunk.
We split the learning objective into two optimization processes that operate simultaneously.
AI systems dont have what the French callune raison dexister.
In order for a machine to do something, it needs to be told what to do.
But, often, we want AI systems to do things without being told what to do.
The whole point of a machine learning paradigm is to get the machine to figure things out for itself.
This is accomplished throughreinforcement learning, the RL in MERL.
This is not only time-consuming often requiring hundreds of millions of iterative attempts but its also expensive.
The agents collaborate to make it speed up learning across each task.
But since were talking about AI, its probably more helpful to view it more like the aforementioned Borg.
One might even be tempted to call it a non-sentient hive mind.
