Online face recognition: Face recognition with the help of AI

Identifying a face in images and videos is a standard task for artificial intelligence systems. Algorithms for online face recognition are trained based on millions of images obtained from the Internet and achieve increasingly reliable results. This not only applies to the assignment of image data to a specific person, but also to facial mood recognition and other relevant information for a wide range of applications.

Leveraging Big Data: Important Data AI Researcher Should Track

Big Data appeared before everyone even realized its existence, and so far, it is the core element of modern technologies. This article will explain the intersection where big data meets AI as well as the key elements of their inseparable connection and the prospects for the further development of AI by using big data.

Artificial intelligence – cooperation between man and machine

Technological change comes hand in hand with fears. Many people associate artificial intelligence with the dominance of machines over mankind and the topic of AI as a job killer is well suited for any discussion. But, above all, the cooperation between human beings and intelligent machines offers opportunities.

The Benefits and Risks of Artificial Intelligence

Artificial Intelligence or AI is rapidly gaining momentum around the world. While AI is often portrayed in film and television as a precursor to the end of the world, in reality, it is quite a bit more benign. AI, as we know it currently, is relatively innocuous.

Known as narrow or weak AI, it is only able to perform relatively simple tasks. Things like responding to your search requests on Google or facial recognition on the photos on Facebook are areas where weak AI can excel. A great example of a weak AI that we are all familiar with is the digital assistants we use in our daily lives.

Millions utilize Alexa, Siri, and Google’s digital assistant on smartphones and smart speakers worldwide for information and assistance. However, the goal is to eventually create general AI (also known as strong AI) that is capable of acting more autonomously.

AI Data Set creation, labeling and verification, and its importance for Machine Learning & Artificial Intelligence (AI)

Data scientists continue to work tirelessly to try and replicate human intelligence through the algorithms they create.
Neural networks are systems with autonomous or intelligent behavior. They are able to perform tasks and solve problems independently (so-called artificial intelligence / AI). Before that, the neural algorithms have to be trained using sample data. AI systems learn from these data and can generalize them and apply what has been learned to new tasks.
The more accurate and extensive the amount of AI training data is, the better the first results of AI systems are.