“We will consider two (out of many) areas where blockchain and AI can be combined. First, we’ll explore how machine learning models can be collaboratively improved on blockchains. We will see this in the near future since Microsoft already working on this. Then, we will look at how AI agents can autonomously create and trade new financial instruments over blockchains. Finally, we’ll look at how organizations can position themselves for the blockchain-AI convergence.”
In a newly published study, MIT researchers find evidence that deep learning will soon (or already has) run up against computational limits. Deep learning is the subfield of machine learning concerned with algorithms inspired by the structure and function of the brain. “The explosion in computing power used for deep learning models has ended the ‘AI winter’ and set new benchmarks for computer performance on a wide range of tasks. However, deep learning’s prodigious appetite for computing power imposes a limit on how far it can improve performance in its current form, particularly in an era when improvements in hardware performance are slowing,” the researchers wrote. "The likely impact of these computational limits is forcing … machine learning towards techniques that are more computationally-efficient than deep learning.”
“We show deep learning is not computationally expensive by accident, but by design. ”
We don't fly the way birds fly, we invested in airplanes.
“Why is this important? For as long as the field of A.I. has existed, there has been a debate about the best path to achieve true intelligent machines. Some people believe that studying the brain is important, because it is the best example we have.
These people often believe that by replicating the brain at the lowest levels and connecting those replications at scale, intelligence will become an emergent property of that system.
Others will say that there are many ways to create intelligence, and that we don’t fly the way birds fly - we invested in airplanes. The same could hold true for intelligence. We don’t have to do it the way the brain does it.
…because researchers typically consider consciousness separate from self-awareness which is separate from intelligence. They don’t lump all the various pieces of the brain that we experience as "what it is to be a thinking human” together.“
