How Artificial Intelligence Is Advancing In 2017!

Artificial intelligence, or AI, is the process of computers and machines simulating human intelligence. This can include learning, reasoning, and self-correction. Today’s machines are able to drive cars and serve as in-home assistants, among many other tasks. While we know that robots will never be able to function in the same way humans do, this technology is predicted to make a lot of strides in 2017.

AI is giving machines the capabilities to learn from behaviors without specific instructions or examples. Recently, this was tested through a game of Go. This game has been challenging for computers to play because it doesn’t have strict guidelines or a simple way to measure progress. However, one team created a machine, known as AlphaGo, which was able to beat the game’s 18-time world champion. In 2017, this ability will lead to the ability to more accurately and safely deliver products such as autonomous cars and industrial robotics. One company leading the way in this field is Google ps://environment.google/projects/machine-learning/, who is building significantly more efficient data centers.

Generative adversarial networks, or GANs, are made of two models: one which learns from a set and another which deciphers between real and fake data. This creates increased abilities as it allows machines to use supervised learning to create guidelines for its unsupervised learning. This can be used to create realistic images, design things like 3-D videogame backgrounds, and enhance low-quality images. In 2017, this method of learning will increase the speed and depth at which machines learn and therefore create more applications for robots.

Currently, we can easily control AI technology such as Apple’s Siri and Amazon’s Alexa with our voice. However, it has been difficult to teach machines about all the nuances and slang within each language. It seems that language is not something that can easily be taught. But, with AI’s ability to learn both through set guidelines and analysis, it will make strides this year to produce more lifelike communication and can act based on lessons learned from past behaviors.

With such advanced learning techniques, it is hard to comprehend the advances AI will make in the next few years. As this industry is gaining momentum, we look forward to seeing the products that will benefit our lives. Stay tuned to our blog for more updates on AI products, industry news, and company achievements!

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