Everyone agrees that human workers have been replaced by machines in the past. And everyone agrees that machines will continue to automate human jobs. It seems that technology advances rapidly nowadays and it is going to replace people from many, many sectors of the economy.
People agree on the above. But here is where they disagree. One camp (let's call them traditional economists and company) says that, yes, technology has taken people's jobs, but it always has simultaneously created new jobs and markets. So this time it will be the same - many jobs will go to the machines, but also many new jobs will be created and people will be employed to do them.
The other camp (let's call them information engineers and company) says that, yes, there will be new jobs created, but they
In my deep learning research I have found a few instances of a sentiment that goes like this:
Here is a picture that shows how this works at a high level. You can research this more if you are interested in how it really works, but here is how you use it.
You find this in many areas of daily life:
These examples are somewhat trivial, because most of us could come to understand how these things work and master them. However, there are new,
I have been spending the past few weeks learning about machine learning and creating neural networks. I still have a long way to go, but I am already imagining potentially powerful AI systems I could create, even with my limited knowledge. I have a few projects in mind, and at least one involving steemit. What I am starting to wonder is...
I don't mean this in the
is it fair sense. If someone creates quality content, and that someone happens to be an AI, I don't really care.... except, that it's really cool.
is whether AI produced content leads us further down the click-bate rabbit-hole. All an AI content producer would care about is whether people view an article or if they rate it highly. If they like it. Goals like aesthetic value, quality (I read Zen and the Art of Motorcycle Maintenance and still can't tell you what that word means), or advancement of the human species would not factor into the equation. That
A gathering of maize ranchers stands crouched around an agronomist and his PC in favor of a water system turn in focal South Africa. The agronomist has recently flown over the rotate with a cross breed UAV that takes off and lands utilizing propellers yet keeps up separation and speed for examining huge hectares of land using its settled wings.
The UAV is fitted with a four ghastly band accuracy sensor that behaviors locally available handling instantly after the flight, permitting ranchers and field staff to address, very quickly, any harvest oddities that the sensor may have recorded, making the information accumulation genuinely ongoing.
In this occurrence, the ranchers and agronomist are hoping to particular programming to give them a precise plant populace check. It's been 10 days since the maize rose and the agriculturist needs to decide whether there are any parts of the field that require repla
This series aims to provide a thorough grounding in the science of machine learning using neural networks. These posts will try to explain the maths and concepts needed to work with neural networks from the ground up, whilst avoiding being overly technical where possible. My hope to provide a great beginner's guide to neural networks for anyone with some basic high school maths abilities. Let's jump in with some background to these mysterious beasts, where we'll find their humble beginnings that has seen many ups and downs.
Computers are an immensely powerful tool for executing strict, well-defined tasks extremely quickly. Computing power is ever increasing (thanks to Moore's Law), and with their growing computational capability, computers have become an essential part of modern society, performing tasks ranging from automated stock market trading, to managing our health records, auto-piloting airplanes carrying millions of passengers annually, and connecting the world through the internet.
However, a growi
Recently I did a test drive of the Tesla Model X using its auto-driving service @ 65mph on the freeway. Wow. It even parallel parked for me with uncanny precision. I was so nervous about putting my trust in a computer, but the smooth ride convinced me that electric cars with assisted artificial intelligence (AI) will be the future. The question isn’t if, but when?
In fact, large gas-powered car giants like General Motors are now joining the band wagon to compete with Tesla. Consumers and a greener environment will be clear winners when market competition drives further innovation and companies invest in infrastructure expansion.
Picture: me getting ready for a test run
I offer my takeaways on Tesla Model X, as well as some thoughts on the electric car market and the promises of self-driving:
Here's a great review of Soma, a game I played some months ago. I strongly recommended checking out the rest of Joseph Anderson's videos if this is new to you. He has spot-on analysis as far as I can tell.
Soma was one of those games that ties in elements of the
Philosophy of Mind. Something I've been fascinated with for years, and something I think will become increasingly relevant as time goes on, and as we become increasingly intertwined with the technology we've created. Let me know what you think!