Researchers developed a new model in order to enable AI to detect occluded objects. These systems must make assumptions based only on the parts of things that are visible in situations where objects are not entirely visible. This partial information causes detection mistakes, and large training data is required to

The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of

To make reasoning easier, computers should be able to systematically modify their view of the world and they might be able to revise past conclusions with AI soon. Timotheus Kampik’s dissertation looked at how mathematical reasoning methods can be used to maintain consistency with previously drawn conclusions while also rejecting

We searched the risks and benefits of artificial intelligence and tried to decide is it evil or not? Humans have long desired to construct machines that can make decisions. It was thought of as a possibility that seemed too good to be true for a long time, and it was

“Is Artificial Intelligence better than Human Intelligence?” is a popular question. Artificial intelligence’s negative reputation stems from its apparent overmatching of human intellect. Compared to a brilliant individual, a computer is quicker in various fields. What would take years for a person to complete will only take minutes for AI,

Neuromorphic computing is a growing computer engineering approach that models and develops computing devices inspired by the human brain. Neuromorphic engineering focuses on using biology-inspired algorithms to design semiconductor chips that will behave similarly to a brain neuron and then work in this new architecture. What is neuromorphic computing? Neuromorphic

Hyperautomation is a framework and set of sophisticated technologies for scaling automation in enterprises. The term “automate everything that can be automated” is used to describe the concept of hyperautomation. Organizations that use hyperautomation want to reduce operational complexity across their company by applying artificial intelligence (AI), robotic process automation

Machine learning engineering aims to apply software engineering and data science methods to turn machine learning models into usable functions for products and consumers. Artificial intelligence technology is created using machine learning engineering with massive data sets. Machine learning engineering develops AI systems and algorithms to learn and ultimately make

The Artificial Intelligence Call Center era has begun. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that millions of customers interact with today. With artificial intelligence (AI) gaining traction in the early 2000s,

Low-code is the latest hype and everyone seems eager to jump on the bandwagon after the promising numbers presented by Gartner and Forrester. Low-code is presented as this end-all, be-all in the development world, bringing along these clickbait titles such as “The era of coding is ending”. This always makes me chuckle a