As we increasingly move to use mixed reality (MR) as our predominant way to interact, the related headset will eventually evolve from an occasional use-focused device to something worn throughout the day. While this move to a more comprehensive mixed reality experience is still out toward the end of the decade, it will begin the blend of natural and virtual elements to no longer need things like signs as any surface can become a display platform. You might not even need a surface, granted spam likely would become a far more significant problem in that future timeframe, and tools blocking that change would become far more attractive. This advancement suggests that by 2050 our perceived universe will blend real physical devices and virtual elements, making it increasingly difficult to tell one from the other.
To science geeks it is what colloquially goes by the term Black Hole -- an area of spacetime where the known Laws of Physics break down. But, during the past decade or so "singularity" has come to mean something quite different -- it is the point in the future when AI (Artificial Intelligence) will become smarter than human beings. In this post, I will be talking about the possibility and implications of a singularity, but also about why it's so hard to wrap our heads around the idea. We'll start with some definitions. Weak AI refers to AI that has been deployed towards a narrow task at which it excels e.g. a Chess or Go playing AI.
According to Ray Kurzweil, "Singularity is a future period in which technology change will be so rapid and its impact so profound, that every aspect of human life will be irreversibly transformed; there won't be a clear distinction between the humans and the machines". He predicts that the computers will not remain as we see them today. They will become a part of human bodies and brains in the years to come until we become the hybrid of biological and non-biological intelligence and its components. If we humans look back into our civilization, as it existed and progressed a few thousand years back, it, in no way, compares with the speed at which we are progressing now. A few thousand years before, we barely existed, let alone, progress.
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Given the company and changing customer preferences it is a challenge. This is where AI helps with its capability track massive amounts of structured and unstructured data and capture such information in real-time from a variety of sources. Level of technology has reached a point where such AI-powered big data analysis in real-time is possible and the system presents actionable reports, even recommending the best course of action. Businesses can anticipate trends and be ready with products that are in demand, not with products that are outdated. AI also tracks customer behaviors online and helps businesses to derive data as well as make recommendations.
IMAGE: Researchers from the Institute of Industrial Science at The University of Tokyo, Kobe Steel, Ltd, and Kobelco Research Institute, Inc, develop high-density, energy-efficient 3D embedded RAM for artificial intelligence applications.... view more Tokyo - Machine learning is the process by which computers adapt their responses without human intervention. This form of artificial intelligence (AI) is now common in everyday tools such as virtual assistants and is being developed for use in areas from medicine to agriculture. A challenge posed by the rapid expansion of machine learning is the high energy demand of the complex computing processes. Researchers from The University of Tokyo have reported the first integration of a mobility-enhanced field-effect transistor (FET) and a ferroelectric capacitor (FE-CAP) to bring the memory system into the proximity of a microprocessor and improve the efficiency of the data-intensive computing system. Their findings were presented at the 2021 Symposium on VLSI Technology.
We learned to work from home, and many companies went completely digital. Artificial Intelligence got a huge boost last year -- more data to learn on, more processes to automate and optimize. It seems 2021 and beyond will hold even more opportunities for the applications of AI. Let's prepare for this bright new future with a list of books. Best Artificial Intelligence books to read in 2021. The most pressing issue is how AI will influence us as a human race and what future it will bring us.
"Digital transformation since the pandemic has been massive. Telehealth has gone from being a novelty to a necessity. Having said that, we need to be reliant on healthcare institutions to get cured and we need technology to make it better," said Mitali Dutta, head of data science and predictive analysis, group IT information and data management, Philips Innovation Campus, at her session at The Rising 2021 by Analytics India Magazine. She pointed at a rise in chronic diseases and healthcare costs, a scarcity of healthcare professionals in India. According to Dutta, the healthcare industry has to focus on the following four aspects, which she called Quadruple AIM of India's healthcare system: To achieve all the above, India needs artificial intelligence.
Take a quick look around the tech ecosphere and you'll find it packed with AdTech and MarTech start-ups all vying to leverage artificial intelligence (AI) – each one hoping to deliver increased advertising views, engagement and revenues on our interactions with the devices and platforms we use every day. As the dominance of cookies is crushed and fears around privacy and personalisation grow, AI looks set to play a huge role in allowing brands, companies and organisations to compete for our eyeballs and attention amid fast-changing media consumption habits. Suggesting the internet and social channels are "essentially a giant behavioural science experiment", Richard Wilson, CEO at marketing technology company CLICKON, describes how AI within these pivotal industries is focused on two key use cases right now. The first, he says, is for personalisation at scale, collecting enough consumer data to observe trends and serve hyper-relevant messages to the right audiences at the right time. The second, he added, is also often controversial, with AI used to enhance creativity.