Thanks to increasing computing power and big data, Artificial Intelligence (AI) has been expanding at a fast pace, with notably major advances in the fields of natural language processing and computer vision.
The development of the Internet of Things and of standard operating systems for objects and devices could give another massive boost to AI applications over coming years. With this, smart cars, smart homes and smart factories could become reality sooner than expected.
Specifically, collaborative robots could be a major field of application as software recreating the human thought process combines with mechatronic devices gradually becoming able to replicate the five human senses. Robot adoption should benefit from falling costs and from increasing labor costs in emerging markets that make them an attractive ROI proposition.
Artificial Intelligence is about computer systems doing what is usually performed by the human intelligence.
After Tools and Machines, Automation comes
as the 3rd step of technological evolution.
AI finds many applications in data-rich industries (banking, advertising/marketing, healthcare) where it can improve corporations’ efficiency through the collection, processing and analysis of data.
Smart cars, smart homes and smart factories. And now smart cities. Whether you like it or not, AI is definitively about to run most aspects of our lives. Smart monitoring systems can have a wide variety of applications, from traffic and parking space management to urban planning and law enforcement.
It is also expected to play a major role in the industrial world, where robotics adoption should accelerate.
AI-as-a-service is a major catalyst. Cloud-industry leaders like Amazon or Microsoft already provide AI-as-a-service making access to AI affordable to most companies.
AI applications are numerous in services businesses. Companies get access to new revenue streams and/or better efficiencies through tools helping them to:
Increasing processing power
Advanced processors (graphic processing units) are key to AI development. GPUs are specialized at massively parallelizing computation. Computer technology, is now progressing more each hour than it did in its entire first 90 years. Computing power is now at the level of the mouse brain.
Most of the models are learning through feedback, thus requiring large amounts of labeled data. In 2020, digital data is expected to be 50 times bigger than in 2013 (source: IDC).
The relation between AI and video games is as strong as ever:
Game developers now have to come up with intelligent digital environments.
Collaborative robots have a compelling ROI proposition:
Current generations of robots are easier to program and come with features such as vision and touch technologies. Collaborative robots can work alongside humans without a safety cage, meaning they can easily be deployed within a factory.
It’s important to keep in mind that a robot is a combination of:
In our view, most of the value lies in the software and computing power.
In a 2013 study, McKinsey estimated the annual positive impact of AI-related technologies on global GDP ($ 80 Tn) in the range of 6.5%-8.3% by 2025.
AI could double economic growth over the next 20 years in 12 developed economies (Accenture).
Range of sized potential economic impacts in 2025,
A machine performing any tasks (including thinking and understanding) a human being would do.
Quantum computation refers to encoding information as 0s, 1s or both simultaneously, unlike conventional digital computers where information is encoded by 0s and 1s.
Thanks to quantum computing:
An AI system substantially beyond human intelligence by handling and taking as much information as possible into account.
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