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Top 5 Trends in Artificial Intelligence That May Dominate 2020s

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shrikant kumar
Top 5 Trends in Artificial Intelligence That May Dominate 2020s

Artificial intelligence (AI) has the ability to especially both amaze, captivate and intimidate. The possibilities of AI are countless and beyond the scope of our imagination. AI would be the foundation of the era of connected mobilityautomation, and 4.0 industry, powering everything from the analysis, decision making, agriculture, logistics, construction, aerospace, and robotics. The global market is expected to reach 118.6 billion AI $ 2025, and the intense rivalry between the US and China in the field of artificial intelligence is fast gaining ground.

 

In 2017 China artificial startup intelligence took 48% of all dollars will AI startups worldwide, which is more than the United States. In deep learning also China publishes six times more patents than the US. In the coming years, the AI will not be limited to powerful supercomputers and large appliances but is omnipresent. Let's take a look at some of the major trends AI 2020.

 

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Evolution of robotics

A legion of programmed robots replacing workers to the assembly line became the most recurrent image and powerful when we think of the AI. Robotic automation is already underway, with many companies trying their hands to robots for different purposes. What is however new that is the robots that were previously only used for manual and tedious tasks would now begin to take on the semi-skilled and skilled labor as well: completing forms, creating reports, making animations, giving instructions, etc. In short, partial automation, we aim to complete automation training machines to perform the required task. In Japan, in 2025, over 80% of elderly care would be done by robots, not caregivers.

 

This will not only increase efficiency but also give us enough time and energy to focus on the essential tasks that require human intelligence.

 

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Data access enabling ubiquity

The data may or may not be the new oil, but it is certainly fueling and strengthening AI and makes it more versatile. What often prevents the transition to automated decision making AI propulsion is the lack of accurate and reliable information. This is among the major challenges that are gradually overcome with digitizing current and options as a simulacrum of the real world. This has streamlined processes, slashed costs, improved search capabilities, enabled accurate data and information in the test phase.

 

For example, autonomous vehicle software developers can access uncountable hours driving data without hitting the vehicle in the street. There would be a drastic increase in the use of artificial intelligence for accurate simulations of the real world. The increased sophistication and capacity AI will lead to profitability and widespread availability, with AI being incorporated in most of the gadgets we use every day, to make way for interconnected devices that can process information and learn themselves.

 

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Enhanced customization

To stay ahead of the competition and prepare for the hyper-area business transformation, companies fall over themselves to get a real-time preview, know customer preferences and provide services accordingly. Real-time data and ubiquitous location intelligence integrated personalized services in almost all fields of urban mobility to online markets. With soaring customer expectations, companies need to provide more personalized and relevant to retain customers and stay relevant. This is where AI will come into the picture. The increasing use of applications based on AI in all areas, coupled with advances in geospatial intelligence, increases the ability to offer the finest personalized services.

 

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Boost cyber security

Growing concern about the violation of privacy and data security have also lead to questions raised about the preparation of the security in the era of artificial intelligence and IoT. It is estimated that by 2020 more than 24 billion devices connected to the Internet would be installed. The number of connected devices used in households is expected to increase from 9 per household currently 500 in 2022, according to the Gartner research house.

 

Increased capacity of algorithms cloud and machine learning would be trained also means that cyber-attacks such as hacking and phishing would be more high tech and difficult to detect. Conventional Cyber security will be squandered in this case and we will need expert's cyber security mechanisms for enhanced AI we safeguard these malicious attacks.

 

Without artificial intelligence, conventional systems will no longer be able to detect and continuously monitor new malware that is created at an unprecedented pace. Large companies have begun to cyber security artificial intelligence for pattern recognition to detect viruses and malware. These new systems can detect any difference or misuse before malware in the system intrusion. Another advantage of AI is that it has the power of predictive operation.

 

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AI filling out humans

Bill Gates, Microsoft founder, and philanthropist said last year that AI can be our friend and be beneficial to society. AI will not compete or humans supersede. Would not it be a "rise of the machines' as a sinister scenario? While many jobs would be lost due to AI, many others would be created and humans but enhanced capabilities with the help of data analysis in real-time. The conversion would be common to the era of bird flu and according to a survey by IDC in 2025 over 75% of businesses will invest in programs to fill the skills gap requalification up. According to a 2018 report, the approximate number of currently qualified researchers in the field of bird flu is 300,000, while companies need a million or more AI specialists.

 

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