13 major Artificial Intelligence trends to watch for in 2018

Artificial Intelligence

With Artificial Intelligence, there is the ability to surprise, attack, gossip and scare us.

The possibilities of AI are innumerable and they easily cross fecund fantasies of our most artistic form. Whatever we have read in science fiction novels or seen in films like 'The Matrix', it can be realistic someday in reality.

Microsoft founder Bill Gates has recently said that 'AI can be our friend' and is good for society. By deciding on robotics up to vehicles and cosmetics, AI has left its mark everywhere and it will be the best social engineering experiment in the history of the world.

CBINSites has prepared a list of major AI trends to follow in 2018. Let's take a look at the 13 trends in those AI which will have a big impact in the coming years.

Robot workforce

It is no longer a closely guarded secret that most of the labor-intensive activities in assembly lines of factories in the future will be done by AI programmed robots and will not be laborers. This will reduce the cost of recruiting employees and reducing outsourcing and offshoring.

Recently, a Chinese T-shirt maker Tianyuan Garments Company signed a Memorandum of Understanding (MoU) for employing 400 employees at $ 14 / hour in their new garment factory in Arkansas with Arkansas Government. Operations were prepared to begin by the end of 2017. The Tianyuan factory in Little Rock, Arkansas, will use the developed sewing robot to make apparel by startup software automation located in Georgia.

In Japan, by 2025, more than 80% of elderly care will be done by robots, not caregivers.

Omnipresent Artificial Intelligence

Artificial intelligence affects many areas, even those people whom we least expect. AI, an important component of machine learning, refers to the training of algorithms on large data sets so that they can learn how to identify the desired pattern better in their actions.

With each passing day, AI's methodology is becoming more versatile.

The UK's IntelligentX wants to present the world's first AI brood beer; In Russia, using neural networks is to identify fish, and VC Sweden's tough steps are going to raise funds to bring horses deep learning-based behavioral analysis.

China is ready to prove its strength in AI and take out America and other western countries. The Chinese government is investing a lot in this future technology.

The Chinese government is promoting an intelligence plan. It involves everything from smart agriculture and intelligent logistics to military applications.

China's artificial intelligence startup has taken 48% of all dollars going on AI Startup globally, compared to the United States in 2017. In deep education, China publishes six times more patents than the US.

US AI is losing its presentation to China in the startup. In technologies like face detection, China has been put in billions.

In July 2017, the Chinese government said that it is planning to reach the level of the United States in artificial intelligence by 2020 and become a world leader by 2030. A government-backed project is to create a chip in which performance and energy efficiency is 20 times the NVIDIA GPU. The Chinese company Cambrian is pledging to build one billion processing units over the next three years and is developing chips specifically for deeper education.

Battlefield at the age of AI

The future war will depend on smart technology as never before. The drones are just the beginning. With the increasing convergence of the Renaissance with traditional defense, monitoring and cybersecurity, the requirement of algorithm-based AI are only extended.

Cybersecurity is a real opportunity field for AI because the attacks are constantly evolving and the main challenge is new forms of malware. First, AI will have an additional edge, it has been given the ability to scale and work through millions of events, it has been encouraged to identify deviations, risks, and signals of future threats.

The market is doing mushrooms with some cybersecurity companies, which is trying to learn the machine to some degree.

In the last 5 years, a total of 134 startups have raised $ 3.65 billion in equity funding. In order to compete in the market, equity was first held in equity for the first time last year to dominate big companies like Cybertron, Arod Strike, Moune, and Titanium.

Voice assistant

In the Consumer Electronics Show in 2018, voice-enabled computing was completely exhausted. Hardly any iOS device was without Amazon Echo or Google Home integration.

Samsung is also working on its own voice assistant, Bixby. It wants all its products to be connected to the Internet and intelligence is available until 2020.

LG made all its devices in 2017 WiFi-enabled.

AI to Throw the Gauntlet Before Professionals

Skilled professional lawyers, consultants, financial advisors, face the heat of artificial intelligence in the form of disabled and semi-skilled workers.

For example, there is the ability to reduce time in artificial intelligence and improve efficiency in legal work. Since the AI platform becomes more efficient, economic and commercial, it will affect the remuneration structure of external law firms, which charges according to the hours.

Decentralization and democratization

Artificial Intelligence is not only limited to powerful supercomputers and large appliances, it is also becoming part of smartphones and wearable devices and equipment and parcels. Edge computing is emerging as the next big area in AI.

Apple released its A11 chip with a nerve engine for the iPhone 8 and X. Apple claims that it can work machine learning on 600b operations per second.

Another case for Age AI: Local artificial intelligence will be helpful in training on your device locally to identify your unique entry or face.

Capsule network

There are innumerable architectures in neural networks. These days, one of the most popular people in deep learning is known as infectious neural networks. Now a new architecture, capsule network has been developed and it will overtake infectious neural network (CNN) on many fronts.

There are some limitations of CNN which cause safety or lack of security in security.

The capsule network will allow AI to be able to identify common patterns with fewer data and be less sensitive for false results.

The capsule network will keep in mind the relative position and orientation of an object without the need to be fully trained in diversity.

Dreams dream in AI talent hunt

According to a recent report, currently, the estimated number of qualified researchers in the area of AI is 300,000, in which the students are involved in relevant research areas. Meanwhile, companies require one million or more AI experts for their engineering needs.

In the US, Glasgow Search for "Artificial Intelligence" currently lists more than 32,000 jobs, in which many wages in 6 points are willing to give beautiful donations to well-known AI experts.

BigWigs of Enterprise AI

Since tech giants like Google, Amazon, Salesforce, and Microsoft have improved their enterprise AI capabilities, it will be very difficult for small players to maintain themselves.

Google has released Cloud Automate. Customers can bring their data to train algorithms in line with their specific requirements.

Amazon started selling AI-AA-A-services with "Amazon AI" under the AWS banner. The aim of Amazon AI is to make noise very much.

AI Medical Diagnostics

Regulators in the US are hoping to approve AI for use in clinical settings. The benefit of AI in diagnosis is initial recognition and better accuracy.

The machine learning algorithm can compare a medical image with millions of other patients, which raises the issue that the human eye otherwise misses.

Consumer-centric AI monitoring equipment like SkinVitchin - which uses computer vision to monitor suspicious skin boils - is already in use. But a new wave of healthcare AI applications will determine the ground for machine learning abilities in hospitals and clinics.

Recently, AstraZeneca, an Anglo-Swedish pharmaceutical, and biopharmaceutical company announced a partnership with Alibaba subsidiary Ali Health to develop AI-aid screening and diagnostic applications in China.

GE and Nvidia have also joined hands to bring the potential of GE to deepen medical imaging equipment.

Create your own AI

Due to open source software libraries, hundreds of APIs and SDKs, and easy assembly kit from Amazon and Google, the obstacle to entering the AI could not be reduced. Google launches an "AI for All Age" project called AIY (Artificial Intelligence itself).

Its first product was a Voice Recognition Kit for Raspberry PI, which enabled users to give their voice to their desired voice.

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