Current Trend in Artificial Intelligence | Machine Learning Future Trends

Artificial Intelligence 2018. Are you Ready for AI ? See Whats Happening in 2018 and 2019 

2045 is the year of the invention of a full-fledged artificial intelligence that imitates the human
An inexperienced Internet user will be surprised to learn that artificial intelligence (AI) is still the technology of the future: the concept of AI has become so firmly established in the information agenda. Almost every day the largest technology corporations report about the achievements of their own "intellects". "Intellect" can already process the photo, with it you can fight in the game (by the way, in Guo he already beat all the champions) or just chat in Twitter and ask through the voice interface to turn off the lights or turn on the music. But in fact, the developers have so far made progress only in what the National Council for Science and Technology (NSTC) defines as a "narrow" AI. "General" AI, which will become a full-fledged imitation of human thinking, has yet to be invented by mankind, and it is impossible to predict how long this process will take,

An advanced prototype robot child named David is programmed to show unconditional love. When his human family abandons him, David embarks on a dangerous quest to become a real boy.

Artificial Intelligence in Everyday Life | AI Revolution

The research process, and behind it the emerging market, is now moving forward primarily machine learning. This subsection of AI works through algorithms of artificial neural networks . Neural networks function according to the principle of the human brain, that is, they draw conclusions based on analysis of large data sets.For example, a group of researchers from the Massachusetts Institute of Technology (MIT) in December 2016 taught artificial intelligence to supplement static images with dynamic ones. To do this, scientists "fed" AI 2 million videos with a total duration of about a year and programmed the development for predicting a static image. So, when the "intellect" from MIT received a photo of the beach, it "enlivened" it with the help of propulsion of sea waves. And according to the image of the railway station, the AI ​​"directed" a short film (so far only 32-second timekeeping) about the departure of the train. Practical application of the technology is useful, for example, unmanned vehicles, which in the case of obstacles appearing on the road, one must be able to instantly make a decision about a sharp maneuver or continuation of traffic in order to avoid tragic consequences (today up to 90% of accidents occur due to the driver's fault).

Machine Learning Future Trends

Similarly, he trains his development of Google. The corporation, for example, (with the support of Oxford University) has taught AI to read lips more effectively than professional linguists. After studying the "intellect" 5 thousand hours of video, he was able to consider 47% of words from a random sample of 200 fragments, while a man - only 12%. Also the company in an entertaining form offered users to teach AI better to recognize images. To do this, in November 2016, a game experiment was launched, Quick, Draw !, under which AI must guess in 20 seconds what the person is drawing on the screen.

The principle of image recognition, many companies already use and for commercial purposes. So, the Russian startup Prisma has trained its neural network to process photos of users in the style of different artists. The output was a service, downloaded, according to the Techcrunch portal, more than 70 million times around the world and recognized by Apple as the "application of the year" for the iPhone.

By 2020, the AI ​​market will grow tens of times and reach $ 153 billion, analysts at Bank of America Merrill Lynch predict. According to their calculations, most of the market - more than $ 80 billion in monetary terms - will capture the developers of solutions for robotics . In addition to the mentioned use of AI in laying out drone routes , the technology will be needed, for example, to improve the concept of "smart houses" and develop the logistics of commercial drones (in December Amazon already made the first commercial delivery of a drone in Britain).

$153 billion of

such value will achieve market development of artificial intelligence by 2020

The most ambitious players of the technological industry are looking at the AI ​​market and ai business ideas. In the spring of 2016, the founder of Tesla and SpaceX Ilon Mask together with partners created a non-profit company OpenAI to develop "friendly" AI. Entrepreneurs set the task not only to save humanity from enslaving cars, but also to make technology accessible to all developers. OpenAI will receive $ 1 billion of investment. The company has already introduced its debut product - software for "training with reinforcement." This type of machine learning enables the object to develop, interacting independently with the environment. Technology allows AI, for example, to control robots or play board games. Sometimes this leads to incidents: Twitter-bot from Microsoft, which in May went to learn "with reinforcement" in the network of microblogging,

In the footsteps of OpenAI followed by other companies. In December 2016, Apple announced plans to lay out what the AI ​​had in the public domain. Earlier, Microsoft, IBM, Amazon, Google and Facebook announced the merger of efforts for the synergy of research "capacities". The world's largest social network is particularly interested in the rapid development of AI technologies to combat fake news in the tapes of user subscriptions. At the finish of the presidential campaign in the United States, false informational occasions became a serious problem for the service: from February to November, users "jumped" or "reposted" the 20 most popular "fakes" 8.7 million times, while the top 20 real news caused only 7.4 million reactions.

Algorithms of machine learning are used almost in all "fashion" today technological directions of research - from unmanned vehicles to smart home systems. AI technologies can potentially change any branch of the economy and almost any business. So, in the near future - 2017-2018, according to the forecast of the analytical company McKinsey, machine training will turn the recruitment market (artificial intelligence more accurately than professional "bounty hunters" will be able to search for optimal candidates for employers) and some segments of the IT market (for example, stormy the development of chat bots allows the business to build new communication strategies, including in social media).

In the future, AI should help states and businesses deal with cyberthreats. So, AI-Squared, a joint project of the Massachusetts Institute of Technology (MIT) and the PetternEx start-up, is a platform that processes large amounts of user data using a neural network algorithm to detect cyber attacks. Based on the results of a year and a half of platform tests (during this time it analyzed 3.6 billion files), its developers announced the detection and prevention of 85% of the attacks.

76 million


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Neural networks have long been used in cybersecurity technologies.

 For example, Kaspersky Lab, about a decade ago, created a special module capable of recognizing digital passwords in the form of pictures that malicious programs used to distribute in e-mail. Another example is image analysis technologies on websites for identification by means of parental controls or an adjacent technology for recognizing spam on an image. Neural networks are widely used to analyze network traffic: with their help, cybersecurity specialists are looking for anomalies that may indicate suspicious activity.

But apart from the positive consequences, the development of artificial intelligence carries risks as well. In the coming years, AI technologies will continue to attack users, the report of the analytical company ArkInvest says. According to experts, in the next twenty years, artificial intelligence can destroy only 76 million jobs in the US - ten times more than it was created during the years of Barack Obama's presidency. And in the perspective of thirty years AI can bring the global unemployment rate (with the current structure of the labor market) to 50%, The Guardian wrote, citing Professor Rice Moshe Vardi.
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