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Showing posts from May, 2021

AI Possibilities

One of the biggest challenges with AI is that strong AI does not exist today. It all depends on how different people define and understand intelligence. Philosophers and scientists disagree about whether the development of Strong AI is possible. Doug Merritt, the CEO of Splunk, recently stated that “AI does not exist today.” [1] AI encompasses many types of technologies like ML (Machine Learning), Deep Learning, and Natural Language Processing (NLP). All of these are narrow forms of AI and do not work with each other.  The original vision of AI, which goes back to the 1950s, is about systems that can truly learn about anything across any domain. Merritt said that it could be 50 to 100 years to get to AI, and there are many issues and challenges to work out, such as with computational power and energy. The human brain only uses 50 watts a day. It is also a very complex distributed system that has a high filter for intuition. The creation of machines that can think like humans has prov

Principles or Laws of Robotics

AI is used extensively in robotics, and hence it is essential to review the principles or laws of robotics. There are different principles proposed for robotics with AI. They have not been officially adopted or implemented by researchers and companies working on AI. US AI Strategic Plan On May 3, 2016, the US Administration announced the formation of a new National Science and Technology Council (NSTC) Subcommittee on Machine Learning and AI, to help coordinate Federal activity in AI. An AI Research and Development Strategic Plan was released, which identifies the following priorities for federally-funded AI research: [1] Strategy 1 : Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2 : Develop effective methods for human-AI collaboration. Rather than replace humans, most AI systems will collaborate with humans to achieve optimal pe