Other AI Forms
Megatrend
Long-term, major change of a global nature; changing the balance of power, the existing way of operating.
Long-term, major change of a global nature; changing the balance of power, the existing way of operating.
- AI WORLD
Time perspective
Trends are placed in four time perspectives:
NOW – perspective now;
NEW – short-term perspective (1-5 years);
NEXT – medium-term perspective (5-15 years);
BEYOND – perspective for the long term (15+ years).
Trends are placed in four time perspectives:
NOW – perspective now;
NEW – short-term perspective (1-5 years);
NEXT – medium-term perspective (5-15 years);
BEYOND – perspective for the long term (15+ years).
- Now
- New
- Next
- Beyond
Trend Momentum Index TM
infuture.institute’s proprietary indicator for assessing the relevance of trends. The TMI is calculated dynamically based on a wide range of data, including, among others, regulations introduced, research, patents filed, impact on sustainability goals, investments or the value of individual markets.
infuture.institute’s proprietary indicator for assessing the relevance of trends. The TMI is calculated dynamically based on a wide range of data, including, among others, regulations introduced, research, patents filed, impact on sustainability goals, investments or the value of individual markets.
Definition of a trend
A trend that refers to a variety of artificial intelligence (AI) models. It includes categories such as Causal AI (focuses on identifying and understanding causality between phenomena, enabling AI systems to better predict outcomes), Bayesian AI (relies on probability calculus to model uncertainty in decision-making), Neurosymbolic AI (combines symbolic ‘thinking’ and machine learning, allowing the computer to simultaneously understand rules and use large amounts of information for learning), Responsive AI (adapting dynamically to a changing environment), Self-replicating AI (having the ability to self-replicate) or Neuromorphic Intelligence (mimicking the architecture and functions of the nervous system). The creation of various forms of artificial intelligence (AI) is driven by the need to deal with challenges that cannot always be met by traditional/ legacy models (e.g. the high complexity of problems, the need for systems to dynamically adapt to changing environments, which can be crucial in situations where conditions are unstable or difficult to predict, or the need to develop AI in hard-to-reach environments).
Trend Momentum Index TM
Reasons for the trend
- global challenges such as the climate crisis, the food crisis, the commodity crisis, the energy transition, the ageing population, the increasing number of diseases,
- the need to deal with challenges that cannot always be met by traditional/ legacy models and technologies,
- continuous technological development.
Insights
Check out monthly updated examples of the occurrence of trend Other AI Forms in patents, scientific articles and media. Materials are selected using our machine learning algorithms and approved by the infuture.institute team
AI GENERATED
HUMAN CURATED
Consequences of the trend
- increased efficiency, productivity and innovation, as well as work automation,
- the development of innovation in many sectors of the economy, from health to manufacturing,
- new business opportunities and sources of economic growth for countries,
- strengthening the adaptability and resilience of societies and economies,
- an increase in the understanding of cause and effect relationships, which translates into more sophisticated decision-making and human support systems,
- The need to discuss autonomy, control and accountability of AI activities.
Supporting technologies
Machine learning algorithms, AI processors, neuromorphic chips, neural networks, unsupervised learning, reinforcement learning, big data
Industries most sensitive to the trend
ICT industry, technology industry, education, financial industry, pharmaceutical industry, medicine, environmental protection, national security, energy industry