Finding the Perfect Research Participants

Developing the Model

In order to find research participants, it is important that you develop a clear picture of what you want to get out of the research and what type of population you are addressing with the research results. Coming up with a list of clarifying questions would be helpful both to you and potential participants. Defining attributes such as race, age, education, and employment can help narrow the search. Research specific elements such as life experience, military service, trauma, certain illnesses or injuries and parental style will ensure you pinpoint the people that would most benefit your research. If you’re looking to gather rich, diverse AI datasets for machine learning as part of your research, exploring AI datasets for machine learning can be highly beneficial.

Speech recognition in our everyday life

Over the course of the past decade, the world has gone through a radical transformation. Technologies that were once something popularized by science fiction have now become a facet of our daily life. One technology that has now become so commonplace, most don’t even give it a second thought is speech recognition.

Nowadays, AI powered voice assistants like Alexa, Siri and Google are scattered throughout our homes and smartphones – but it wasn’t always this way. For quite a long period of time, voice control was very hit and miss.

Content marketing for banks – the best content strategies

Today’s bank customers are well informed. They know how important their personal data is for their financial institution. And that also includes finance related activities. As a rule, customers are willing to disclose this data, but in return they expect personalized, simple, and value-enhancing digital services. An intelligent content strategy is therefore a must for any bank that wants to endure in the market and achieve good positions.

Writing copy for social media: What does really count?

Regular posts on social media are must-haves in marketing. Everyone is participating – and that’s why it’s hard to stand out from the crowd. At the same time, one must be present on social media platforms to avoid being forgotten. How do you write posts for X, Facebook & Co. that are not only attention-grabbing but also achieve the desired goal? Here are 8 tips for good texts in social media forums.

8 Tips for more participants in online surveys

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.

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.

Does Artificial Intelligence Optimize Human Beings?

The concept of the perfect human is as old as humanity itself. But self-learning algorithms are bringing the realization of this idea a little closer now, just as they entail the fear of the omnipotence of machines. Does artificial intelligence make us smarter, better looking, healthier and happier? Four questions and four answers.

Does Artificial Intelligence benefit the Common Good?

The invention of the steam engine triggered revolutionary societal changes. Machines replaced physical work. They produced goods cheaper, faster and more effectively. In the end everyone profited from that through more prosperity. A similar development is becoming apparent today: in many areas artificial intelligence is replacing processes which require human thinking. Will we also all benefit from this?

Choosing the right AI model

The popularity of AI (Artificial Intelligence) systems is growing in leaps and bounds. Businesses around the world are starting to understand how these systems can benefit them, but AI is not yet at the stage where you can simply take it out of the box and expect it to perform. AI systems require training, which is where AI models come into the equation.An “AI model” is an algorithm that is taught using data and input from a human expert. The model is evaluated on its accuracy by comparing the results it provides against the decisions made by the human expert. This often requires the algorithm to review a significant amount of data. In addition, by accessing data from multiple sources, the model is better able to find patterns which it can use to further streamline its analysis. The model is attempting to replicate the decision process of a team of experts with access to the same data. Understanding the intricate process of AI training is crucial for companies aiming to deploy efficient AI models.

Artificial Intelligence in Germany

Artificial intelligence is changing the world. There is no doubt about it. Self-learning algorithms are now being developed all over the world and an increasing number of economies are focusing on promoting AI development at a domestic level. Machine learning benefits mankind all over the world – individual countries profit from it. But what is the current status of artificial intelligence in Germany? Can German AI development compete on an international level? And what about state subsidies?