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.Read more
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.Read more
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.Read more
The more participants take part in an online survey, the more representative the results are. And if a survey has an additional marketing objective, the number of completed questionnaires also increases sales. But how can you attract as many respondents as possible for online surveys? These 8 tips will help you.Read more
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.