Computer vision, Machine Learning, and Supervised Learning; An In-depth Understanding towards AI

Artificial Intelligence (AI) and robotics is a power back combination to talk about, particularly for automating tasks inside and outside of the factory setting. Understanding the performance of AI in recent years, AI has transformed increasingly in robotic solutions, introducing flexibility and learning capabilities in rigid applications.

AI is considered as a transformative technology for some applications in the manufacturing sector, although there are many that a lot to feel the impact.

When it comes to AI, the understanding of people has become crucial when they hear about artificial intelligence. But AI technology which is considered as a necessity for any size of an enterprise is often misunderstood, and key factors of machine intelligence are easy to overlook.

The critical visionary of AI is inventiveness like any other technology we can experience today. AI is an effective combination of related technologies such as computer vision, supervised learning, and machine learning. These technologies efficiently allow companies to automate tasks at a bigger scale to let the workflow remain constant and scalable.

“There are a lot of real risks to AI like job displacement, new ways for humans to be bad to other humans, and more advanced weapons,” reported CNET senior editor Stephen Shankland.

Moreover, AI is already in use in our home, workplaces, and the world at every possible required corner. In the near future, AI will be encountered in devices like Amazon’s Alexa, Apple’s Siri, and Google Home. This versatile driven technology is excelled to smart interactions and not just individual intelligence. Moreover, they are supremely designed to be assistants, guides, and memory with extensive storage capacity.

Automated smart interactions are generally powered by algorithms that are learned by processing massive piles of data. The process allows AI to adapt to ever-changing real-world conditions. The process is believed to be supervised learning, and it is used in emerging technologies like self-driving cars, electric vehicle and more.

“ A self-driving car knows how to avoid a pedestrian and knows how to stay in a lane because humans have sat down with images taken from the front of these cars. This is a human, this is a lane that marks the edge of the road,” asserted Figure Eight CTO Rob Monroe. He further added, “It’s these thousands and thousands of hours of human feedback that ultimately enables a self-driving car to be trained to automate the task of driving.”

Covering every sector, AI is upbringing significant developments in healthcare and medicine. Using computer vision, AI allows identifying pictures and symbols. Now, machines are able to provide physicians radiologists information which is important for diagnosing dangerous heart conditions, brain problems, and lung cancer.

“Normally a radiologist has to be highly trained to look at the organ, and spend a lot of time sometimes just drawing contours by hand, like the ventricles or the atrium, we are working on automating that process, and it’s really a quantum leap because the system can propose a suggestion to the physicians,” said Fabian Becker CEO of Arterys.

AI is the only technology which can be seen in every industrial sector. The agriculture industry is also grasping potential benefits from machine learning and computer vision AI systems. Farmers mostly use machine intelligence to recognize weeds, optimize planting duration, and select fields. Algorithms screen through piles of climate data and differentiate between crops and weeds using databases loaded with thousands of images.

“Our database is now close to a million images, across many different farms in many different geographies.” The company’s AI-enabled machine is easy to deploy, runs at speeds up to 12 miles per hour, and can be towed behind a tractor. “It looks at every single plant 50 times per second” and determines a crop or weed, then applies herbicides only to the weed and nowhere else,” said Jorge Heraud, CEO of Blue River Technology.

Artificial intelligence is easily misunderstood because AI is tied to the way our brains work and how we think, said Amy Webb.  “Philosophers, mathematicians, and theologians have for centuries been trying to figure out the relationship between mind and machine. Even MARVIN Minsky and John McCarthy knew that the moment that technology becomes indispensable it becomes invisible.”