5 levels of AI autonomy and integration
The degree of AI integration in companies varies greatly. Some companies are still in the initial stages of implementation, while others are already using fully AI-driven systems.
Tech
AI as a co-pilot in the video production process
Capcut, Sora, Kling, etc. The integration of artificial intelligence into video production
Visions of the future: How AI could reshape university operations
Education can be the key to a better life - and today,
The challenges of AI in the telecommunications sector
A recent survey by NVIDIA of more than 450 professionals worldwide shows that AI not only serves as a tool to increase sales and reduce costs, but also contributes significantly to optimizing customer experience and increasing employee productivity.
The role of AI in modern agriculture: sustainable practices and innovative technologies
Agriculture is in a state of upheaval - the growing world population
The science of prediction: AI as a precision-enhancing technology
Predictions are basically simple. If I bump a ball on a straight
The future of artificial intelligence in cybersecurity: protection or threat?
In view of the ever-growing threats in the cyber world, the use
The economic impact of AI: new jobs or job losses?
The introduction of AI in industry is having a profound impact on jobs and the way we work. Is there hope for new jobs or are we facing a loss?
The next big wave in collaboration between research and industry
The rapid development of generative AI has the potential to fundamentally change
The bridge in science: How AI is breaking down barriers between disciplines
In the modern age, collaboration is essential to solve complex problems. AI
How AI is changing the world of finance: A look at the latest trends in the financial services industry
The financial industry is facing a variety of challenges, from regulatory requirements
Deep Impact by DeepSeek-R1: What is AI reasoning and what does it mean for decision-making?
The introduction of models such as DeepSeek-R1 or gpt-o1 could revolutionize the way companies make decisions. What does this mean for the future of decision-making?