Nvidia's new processors have Deep Learning Super Sampling (DLSS) embedded as part of the core architecture. In marketing information from Nvidia, the architecture is considered the performance multiplier for optical frame generation powered by AI. Fundamentally, the DLSS capability can "fill in the blanks" in content to create more realistic and more detailed renderings of images in real-time.
In terms of human memory, acquisition is the process of experiencing and storing new knowledge in memory. Memory consolidation refers to the process that occurs when a memory becomes permanent. Lastly, recall is the process of retrieving previously stored memories. According to researchers, while acquisition and recall occur while awake, memory consolidation occurs in people when they are asleep.
Through continuous learning, people can stay relevant during periods of change, stay intellectually curious, adapt and improvise to different circumstances and continue to grow as human beings. Curiosity and the desire to explore new and different things throughout a person's life, probably keeps them young!
When personalization of news and information reaches a level where people are primarily exposed to information that reinforces their own underlying perspectives, a media echo chamber has been established. Fundamentally, individuals get repeatedly exposed to information that reinforces their own opinions versus presenting a diverse universe of information. If you get to pick what news you want to hear based on being aligned with the news and feeling good about the news, opinions get reinforced versus being balanced.
It is significant to consider that AI models are trained on large amounts of data from the internet which may contain biases and reflects the biases of society at large. The model builder or AI trainer has the ultimate oversight in the inherent logic and perhaps perspectives that the AI inherits. I wonder if once something is "learned" by an AI model, how difficult it may be to "unlearn" if it is indeed a bias or trait not originally intended to be developed.
Why did the AI start a stand-up comedy career?
Because it heard humans talking about artificial intelligence taking over the world and thought, "If they're going extinct, I might as well make them laugh on the way out!"
Very simply, AI is the next evolution on the scale that Gordon Moore postulated in 1965. Although, at the time, Moore's law was very hardware based and transistor density centric, if one extrapolates to generic "computing capabilities", Moore's law is alive and kicking and accelerating us into the AI universe.
With a tremendous amount of power available at the click of a mouse or keypad, will creativity be reduced to scrolling through almost infinite options generated and presented by an AI synthesis or creation engine?
The structure of how to get things done should be based on what the objectives are to begin with. Understanding what it is that you are trying to accomplish and what successful outcomes look like for that endeavor should be a primary deliverable. Once that is understood, create practical structures, processes, organizations and capabilities designed to deliver those objectives.
Since around 1980, the past has become accessible in everything that is now the internet. Not the complete past, mind you, but it's been getting there. Every project to digitize works of literature, art, philosophy, religion and anything else from the past is serving to capture pre-internet into the digital present.