Corona pandemic: Fighting COVID-19 with crowdsourcing

How is crowdsourcing helping in the face of the COVID 19 pandemic? Can the “crowd” help to defeat the virus? The following are four interesting projects that work free of charge.

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.

Artificial intelligence in the food industry

The food industry is already reaping the benefits of artificial intelligence. But the development is still in full swing. Numerous projects are being supported by the scientific community. These projects are opening up new perspectives and removing obstacles on the path to efficient food production and delivery. One thing that all projects have in common is that the use of AI optimizes the entire process and prevents food waste.

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.