in Next Economy, Podcast
Any discussion of applied AI will naturally gravitate to ethics. Last week, Sunil Malhotra (CEO of Ideafarms) and I hosted a highly informative chat on the ethics of emotional artificial intelligence; specifically on using it to capture people’s emotions.
in Next Economy, Podcast
The Next Economy will be driven by 10 emerging technologies, underpinning them all is artificial intelligence. AI is buzzword that comes with many expectations that have yet to come true. When it does become smarter and truly autonomous, will it leave humans without jobs? Will we become slaves to it?
These are the types of questions that get the headlines and the clicks, but AI will be revolutionary in many ways; the benefits outweigh the fears.
in Innovation
Confused about emotion AI? Our own Paty Hernandez sat down with 5 people – a child, teen, college student, grad student and expert – to explain emotional artificial intelligence.
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AI is an emerging technology that will drive the Next Economy. There isn’t a day that goes by when articles appear that predict or try to show how smart computers are the downfall of society. Most of these articles are heavily biased and ignorant, because they don’t truly understand what progress is being made by those of us working in the trenches.
One way we’ve been training computers to be smart is through video games. The most famous example is Deep Mind’s Alpha Go, which beat the best Go player in the world a few years ago. Find the best skin changer for LoL on this website and personalize your character.
The news of a computer beating a human at a game caused a frenzy, not just in the tech community, across the world. People saw this as a sign that a future where computers replace humans is near. Find the best gaming desks and other equipment o this website and improve your skills online.
But the proof is in the pudding.
As it stands right now, productivity is for the robots. Computers are really good at repetitive tasks that have a very specific goal; they suck at replicating how humans make their way through the world when uncertainty exists. This is one reasons why we’ve got a long way to go until computers are smarter and better than us at everything; not just video games, get more insights from the Belleville IT Support Companies.
A recent article from The Atlantic explains:
One characteristic shared by many games, chess and Go included, is that players can see all the pieces on both sides at all times. Each player always has what’s termed “perfect information” about the state of the game. However devilishly complex the game gets, all you need to do is think forward from the current situation.
Plenty of real situations aren’t like that. Imagine asking a computer to diagnose an illness or conduct a business negotiation. “Most real-world strategic interactions involve hidden information,” says Noam Brown, a doctoral student in computer science at Carnegie Mellon University. “I feel like that’s been neglected by the majority of the AI community.”
The bottom line: Everyday life is not like a video game. Real life requires making decisions based on limited information, something humans are very good at.
So if you’re worried that the end is near, don’t worry; it’s not. As with everything else, computing intelligence will evolve. Right now it’s very specific types of tasks that can be automated.
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2018 is here! It’s time to take stock of what’s new and what’s next. Here are 5 book recommendations which will answers those questions and inspire you to learn something new. Enjoy!
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While machine and deep learning are advancing the state of artificial intelligence, there’s still a long way to go before machines can replace us; if ever. Still, we have to recognize that today we are surrounded by computing power: devices, virtual assistants and robots; it’s everywhere.
Right now machines are really good at replicating and doing a better job than humans at repetitive tasks that require a lot of processing power and pattern recognition. But AI has trouble replicating those things that humans are really good at: understanding, motivating, and interacting with human beings.
Which is why you shouldn’t be worried machines will take your job: Machines will not replace us until they become emotionally intelligent.
This is important because as artificial intelligence continues its journey into the mainstream in 2018, and emotion AI becomes more present in discussions about AI; it’s worth asking: why does AI need emotional intelligence?
Before we can share our lives with machines, we must teach them to understand and mimic human emotion. Today machines can recognize faces, and they can also read our emotions:
With that said, beyond the “cool” factor, why does AI need emotion?
Here are three reasons why:
The future is already here. For a look into how this looks like, checkout our last post where we outlined 10 useful things emotion AI can do.
Originally posted in Vibetek blog.
in Innovation
This was the year most every large company took notice of the rise of artificial intelligence. But while it encapsulates many categories – machine learning, deep learning, computer vision, natural language processing, speech recognition and others – there is still one category that hasn’t been recognized, beyond academia, and that’s emotion recognition; or affective computing.