Artificial Intelligence is key for the next revolution in Automation

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Take a look at the future that AI has in store, according to USC researchers:

Medicine :
Why have medicine that’s good for the average person, when it could be tailored to your exact genome? AI algorithms will enable doctors and hospitals to better analyze data and customize their health care to the genes, environment and lifestyle of each patient. From diagnosing brain tumors to deciding which cancer treatment will work best for an individual, AI will drive the personalized medicine revolution.

Cybersecurity:
There were about 707 million cybersecurity breaches in 2015, and 554 million in the first half of 2016 alone. Companies are struggling to stay one step ahead of hackers. USC experts say the self-learning and automation capabilities enabled by AI can protect data more systematically and affordably, keeping people safer from terrorism or even smaller-scale identity theft. AI-based tools look for patterns associated with malicious computer viruses and programs before they can steal massive amounts of information or cause havoc.

Precision Farming:
The world’s population is expected to increase significantly over the next three decades, but our capacity for food production will struggle to keep pace. AI is driving efficiency in our current farming methods to increase production and reduce wastage without adversely affecting the environment.

ENTERTAINMENT:
Move over, Netflix. In the future, you could sit on the couch and order up a custom movie featuring virtual actors of your choice. Meanwhile, film studios may have a future without flops: Sophisticated predictive programs will analyze a film script’s storyline and forecast its box office potential.

VITAL TASKS :
AI assistants will help older people stay independent and live in their own homes longer. AI tools will keep nutritious food available, safely reach objects on high shelves, and monitor movement in a senior’s home. The tools could mow lawns, keep windows washed and even help with bathing and hygiene. Many other jobs that are repetitive and physical are perfect for AI-based tools. But the AI-assisted work may be even more critical in dangerous fields like mining, firefighting, clearing mines and handling radioactive materials.

TRANSPORTATION :
The place where AI may have the biggest impact in the near future is self-driving cars. Unlike humans, AI drivers never look down at the radio, put on mascara or argue with their kids in the backseat. Thanks to Google, autonomous cars are already here, but watch for them to be ubiquitous by 2030. Driverless trains already rule the rails in European cities, and Boeing is building an autonomous jetliner (pilots are still required to put info into the system).

=>New Opportunity come into market with AI:
– The Six Jobs In Artificial Intelligence

Data Scientist. A data scientist follows numbers. …
Machine Learning Engineer. Machine learning engineers are computer programmers who program machines to perform specific tasks. …
Software Developer. …
Robotics Scientist. …
Business Intelligence Developer. …
AI Research Scientist.

=>AI Programming:

Python:
One of the leading languages used for developing AI Projects is Python which is because of its simplicity and easy coding behavior and is especially used in health-related startups involving AI.

C++:
The very reason C++ is used in AI solutions is its speed; it is probably the fastest language out of all. Therefore, whenever speed is the prime concern of any AI developer, C++ is opted.

Java:
Java is in the top five because of its familiarity and easy to use features. This OOP language allows easy coding of algorithms which covers the major part of AI.

LISP:
LISP (List Processing) is that high level language which impresses AI developers quite well and has been used in many classic AI Projects as well. The factor that places it at the last position is that, in comparison to others it is not fast.

Prolog:
The reason Prolog is preferred for AI solutions is that it pretty much revolves around a dedicated set of mechanisms which consists of a small, flexible yet well-built programming framework.

How artificial intelligence will change your world in 2019, for better or worse?