A. application | B. currently | C. initial | D. detection | E. previously | F. feasibility |
G. primarily | H. intelligent | I. active | J. availability | K. predictable |
The agricultural sector is going to face enormous challenges in order to feed the 9.6 billion people that the FAO (Food and Agriculture Organization) predicts are going to inhabit the planet by 2050: Food production must increase by 70% by 2050, and this has to be achieved in spite of the limited
One way to deal with these issues and increase the quality and quantity of agricultural production is using sensing technology to make farms more “
Precision agriculture, also known as “smart farming”, is not new, In the beginning, it was about position technologies
It’s something that’s already happening, as corporations and farm offices collect vast amounts of information from crop yields, soil-mapping, fertilizer
The European Union has sponsored several projects on the topic. The
Several private companies are also starting to be
A. empowers B. termed C. interaction D. implications E. advances F. question G. obtained H. additionally I. pressure J. currently K. defining |
A New Era of Creative Partnerships
In a new paper in a Nature Human Behavior special issue on AI, researcher Janet Rafner from Aarhus Institute of Advanced Studies and Center for Hybrid Intelligence at Aarhus University and Prof. Jacob Sherson, director of the Center for Hybrid Intelligence, together with international partners, discuss research and societal
The team of researchers argue that we should direct our attention to understanding and developing co-creativity, the interaction between humans and machines towards what is
Rafner comments: To date, most studies on human-AI co-creativity come from the field of human-computer
While these
“Right now, we need to move the conversation away from questions like Can AI be creative? One reason for this is that
We,