{"id":5605,"date":"2018-08-04T12:30:21","date_gmt":"2018-08-04T19:30:21","guid":{"rendered":"https:\/\/athis-consulting.com\/news\/?p=5605"},"modified":"2018-10-05T06:59:17","modified_gmt":"2018-10-05T13:59:17","slug":"13-major-artificial-intelligence-trends-to-watch-for-in-2018","status":"publish","type":"post","link":"https:\/\/athis-technologies.com\/news\/innovation\/ai-big-data\/2018\/13-major-artificial-intelligence-trends-to-watch-for-in-2018\/","title":{"rendered":"13 major Artificial Intelligence trends to watch for in 2018"},"content":{"rendered":"

Artificial Intelligence (AI) has the peculiar ability to simultaneously amaze, enthrall, leave us gasping and intimidate. The possibilities of AI are innumerable and they easily surpass our most artistically fecund imaginations. What all we read in science fiction novels or saw in movies like \u2018The Matrix\u2019 could someday materialize into reality. Bill Gates, the founder of Microsoft, recently said that \u2018AI can be our friend\u2019 and is good for the society. From decision-making to computing to robotics to vehicles and even cosmetics, AI has left its mark everywhere and it will usher in the grandest social engineering experiment in the history of the world.<\/p>\n

CBInsights has prepared a list of the major AI trends to follow in 2018. Let\u2019s have a look at the 13 trends In AI that will have a huge impact in years to come.<\/p>\n

Robotic workforce<\/strong><\/h4>\n

\"artificial<\/a>It is no more a closely guarded secret that in the future much of the labor-intensive work in assembly lines of factories would be done by AI programmed robots and not workers. This would bring down the cost of hiring workers and also reduce outsourcing and offshoring.<\/p>\n

Recently, a Chinese T-shirt manufacturer Tianyuan Garments Company signed a Memorandum of Understanding (MoU) with the Arkansas government to employ 400 workers at $14\/hr at its new garment factory in Arkansas. Operations were scheduled to begin by the end of 2017. Tianyuan\u2019s factory in Little Rock, Arkansas, will use sewing robots developed by Georgia-based startup SoftWear Automation to manufacture apparel.<\/p>\n

In Japan, by 2025, more than 80% of elderly care<\/a> would be done by robots, not caregivers.<\/p>\n

Ubiquitous Artificial Intelligence<\/strong><\/h4>\n

Artificial Intelligence impacts multiple fields, even those that we least expect it to. Machine learning, a crucial component of AI, refers to the training of algorithms on large data sets so that they learn how to identify desired patterns better at their tasks.<\/p>\n

The functioning of AI is getting more versatile with each passing day.<\/p>\n

UK\u2019s IntelligentX wants to introduce the world\u2019s first AI brewed beer; DeepFish in Russia is using neural networks to identify fish, and\u00a0Sweden\u2019s Hoofstep is raising VC money to bring deep learning-based behavioral analysis to horses.<\/p>\n

Uncle Sam vs The Dragon in the realm of AI<\/strong><\/h4>\n
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\"Courtesy:
Courtesy: CBInsights<\/figcaption><\/figure><\/figure>\n

China is all set to prove its prowess in AI and outshine the US and other western countries. The Chinese government is investing a lot in this futuristic technology<\/a>.<\/p>\n

The Chinese government is promoting an intelligence plan. It includes everything from smart agriculture and intelligent logistics to military applications.<\/p>\n

In 2017 China\u2019s artificial intelligence startups took 48% of all dollars going to AI startups globally in, more than that of the USA. In deep learning also China publishes six times more patents than the US.<\/p>\n

\"artificialThe US is also, seemingly, losing its preponderance in AI startups to China. In technologies like face recognition, China has poured in billions.<\/p>\n

In July 2017, the Chinese government said it planned to reach the level of United States in artificial intelligence by 2020 and become the world leader by 2030. One government-backed project is to create a chip that has 20 times the performance and energy efficiency of NVIDIA\u2019s GPUs. Chinese company Cambricon is pledging to make one billion processing units in the next three years and is developing chips specifically for deep learning.<\/p>\n

Battlefields in the age of AI<\/strong><\/h4>\n

The wars of the future will rely on smart technology like never before. Drones are just the beginning. With the increasing convergence of conventional defense, surveillance, and reconnaissance with cybersecurity, the need for algorithm-based AI only expands.<\/p>\n

Cybersecurity is a real opportunity area for AI since attacks are constantly-evolving and the main challenge is new forms of malware. Prima facie, AI would have an extra edge here given its ability to operate at scale and sift through millions of incidents to identify aberrations, risks, and signals of future threats.<\/p>\n

The market is mushrooming with new cybersecurity companies trying to leverage machine learning to some extent.<\/p>\n

A total of 134 startups have raised $3.65B in equity funding in the last 5 years. About 34 of them raised equity for the first time last year to compete in a market still dominated by larger companies like Cybereason, CrowdStrike, Cylance, and Tanium.<\/p>\n

Voice Assistants<\/strong><\/h4>\n

Voice-enabled computing was all over at the Consumer Electronics Show in 2018. Barely any IoT device was without integration into the Amazon Echo or Google Home.<\/p>\n

Samsung is also working on its own voice assistant, Bixby. It wants all of its products to be internet-connected and have intelligence from Bixby by 2020.<\/p>\n

LG made all of its appliances in 2017 WiFi-enabled.<\/p>\n

AI to throw the gauntlet before professionals<\/strong><\/h4>\n

Skilled professionals \u2014 including lawyers, consultants, financial advisors etc \u2014will face the heat of artificial intelligence as much as unskilled and semi-skilled workers.<\/p>\n

For instance, artificial intelligence has huge potential to reduce the time and improve efficiency in legal work. As AI platforms become more efficient, affordable and commercialized, this will influence the remuneration structure of external law firms that charge by the hour.<\/p>\n

Decentralization and Democratization <\/strong><\/h4>\n
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\"artificial
Courtesy: CBInsights<\/figcaption><\/figure><\/figure>\n

Artificial Intelligence isn\u2019t only limited to powerful supercomputers and big devices; it is also becoming a part and parcel of smartphones and wearable devices and equipment. Edge computing is emerging as the next big area in AI.<\/p>\n

Apple released its A11 chip with a neural engine for iPhone 8 and X. Apple claims it can perform machine learning tasks at up to 600B operations per second.<\/p>\n

Another case for edge AI would be training your personal AI assistant locally on your device to recognize your unique accent or identify faces.<\/p>\n