The Current State of AI - Introduction
Where we are right now, and what developments can be expected soon?
The current state of AI is a bit of a paradox. On one hand, some experts are comparing AI in its current state to the likes of insects and invertebrates. “If you think about a cockroach, the fact that it can scurry around on the floor, it can avoid dangers, it can find food for itself, it can reproduce, and it can live for several years on its own, robots are nowhere near that point yet and I think it'll be great when we have even as much capability as a cockroach,” an AI researcher said in an interview featured in Lo and Behold -- a documentary about the internet’s effect on human interaction and modern society.
“The AI that we actually have...has the approximate computing power of an earthworm, or maybe at most a single honeybee, and actually, probably maybe less,”
declared AI researcher Janelle Shane in her April 2019 TED Talk.
On the other hand, in the same world, at the same moment, robots are beating world champions at Go, which is known as the world’s most challenging board game. AI is being developed that lives in our heads and allows us to communicate with it through our minds -- and it’s already kind of working. Robots at UC Berkeley’s labs are being taught manual dexterity with impressive results. Google’s voice recognition software was nearing human-level (95 percent) accuracy back in 2017 (the last time its accuracy measurements were released to the public), so we can reasonably assume it’s even closer to perfect now.
It’s a bit of a paradox, you see. No matter how hard I try, I can’t imagine a worm being able to understand human speech at near-perfect accuracy, nor a cockroach playing a game of tic-tac-toe, let alone Go.
To get a more well-rounded picture of the current state of AI, there are a few key topics we need to look at that is the talk of the AI world at this point in 2019:
- Voice search, voice assistants, and NLP
- AI in enterprise automation.
>>> Without further ado, let’s dive right into the first part of this 2-part series, the current state of NLP, voice search, and voice assistants in 2019. the current state of NLP, voice search, and voice assistants in 2019.
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