NVIDIA’s latest AI uses generative adversarial networks to transform low resolution images into detailed graphic presentations, allowing for a better presentation or gaming experience, depending on its use.
It has been described as a smart toothbrush because of the aspect of machine learning, which has been developed through training with the help of a million images.
The rendering options that this AI is capable of are stunning. While only in its demo stage, NVIDIA’s AI has been able to present detailed and high resolution images from sketches. The AI goes from strength to strength, with exponential potential in the ability for use across different avenues. But where else can AI and machine learning come in handy?
The Air force
AI is being trained to carry out more functions than ever, including autonomously operate certain machinery in the Air Force. The use of computer-operated drones will potentially change military strategy and action, with fewer forces forced to engage in physical battles.
AI can be used for exploring landscapes and developing military strategies that will increase the likelihood of success. However, it would need machine learning to address complex moral decisions surrounding warfare.
AI has also been used in the hospital to boost research potential. It can help improve analysis of data, which allows for better recognition of patterns. This could be useful in helping analyze the relationship between preventive or treatment options and patient responses, which can be used to improve the efficiency of different aspects of healthcare.
The potential for accuracy and decreased use of resources makes the use of AI in healthcare a viable option. AI would need machine learning to understand what patters to look for and how to use them to come up with decisive conclusions.
AI can help change the way people approach education. Instead of placing the onus on human teachers, who may not be able to offer optimized services for all their students, AI could become a viable option for education.
It can be used to provide and break down patterns in data, which would help teachers address specific problems to help out different pupils in a unique way. The potential for testing and grading, as well as the ability to develop a custom learning schedule for different students based on their needs and ability could also help improve learning overall.
For more administrative uses in the classroom, AI can also be used to group students with teachers to improve the efficiency and output of learning.