A month ago, India's first driverless metro train in the national capital, Delhi, was launched. Yes! Like it or not, automation is happening and will continue to happen in places where you couldn't have imagined before. Artificial Intelligence has swept away the world around us, leading to the natural progression of demand for skilled professionals in the job market. It is one field that will never go outdated and will continue to grow. Wondering how to leverage this opportunity? How can you prepare yourself for such a league of jobs that make the world go around? We have got a repository of questions to help you get ready for your next interview! This article will cover the artificial intelligence interview questions and help you with the much-needed tips and tricks to crack the interview. The article is divided into three parts: basic artificial intelligence questions, intermediate level, and advanced AI questions. AnalytixLabs is India's top-ranked AI & Data Science Institute and is in its tenth year.
Ai is everywhere, it has incorporated into every aspect of our life, unknowingly. It changed the way we live by simplifying things we do in our routine, like shopping, traveling, man-machine interaction. AI almost gained control of our actions. It decides what we shop, by showing ads and recommendations while you are shopping, AI trip advisors suggest you a travel destination and the best vacation packages for your budget. AI helping Businesses and financial institutions to serve their customers better with the automated question and answer chatbots. AI also defines our social media feeds, how many of your Facebook friends have not been showing up on your wall, even they active in social media? Because AI knows what and who you are interested in.
One of the ambitions of artificial intelligence is to root artificial intelligence deeply in basic science while developing brain-inspired artificial intelligence platforms that will promote new scientific discoveries. The challenges are essential to push artificial intelligence theory and applied technologies research forward. This paper presents the grand challenges of artificial intelligence research for the next 20 years which include:~(i) to explore the working mechanism of the human brain on the basis of understanding brain science, neuroscience, cognitive science, psychology and data science; (ii) how is the electrical signal transmitted by the human brain? What is the coordination mechanism between brain neural electrical signals and human activities? (iii)~to root brain-computer interface~(BCI) and brain-muscle interface~(BMI) technologies deeply in science on human behaviour; (iv)~making research on knowledge-driven visual commonsense reasoning~(VCR), develop a new inference engine for cognitive network recognition~(CNR); (v)~to develop high-precision, multi-modal intelligent perceptrons; (vi)~investigating intelligent reasoning and fast decision-making systems based on knowledge graph~(KG). We believe that the frontier theory innovation of AI, knowledge-driven modeling methodologies for commonsense reasoning, revolutionary innovation and breakthroughs of the novel algorithms and new technologies in AI, and developing responsible AI should be the main research strategies of AI scientists in the future.
Data science is being transformed. Artificial intelligence, while generating powerful tools for analysis, is only the beginning of a more ambitious phase making AI systems more accurate, less biased, and effective prediction tools. Computing power, driven by Moore's Law, went a long way. Computing power and local processing were the initial bottlenecks, but these have mostly been overcome. The next computing phase, cloud computing (originally, distributed file systems were a form of cloud computing where files weren't located on a specific machine but were on some file server somewhere), puts both data and computing away from the computer user -- your data, processing, and software tools are somewhere else.
At DKdL (Die Krieger des Lichts, part of the fischerAppelt group) we have decided to take a novel and holistic approach to developing intelligent data-driven concepts and products. We call this approach "human centered AI", where AI stands for artificial intelligence. Our approach integrates the research & development (R&D) needed to develop AI systems into a human centered design process. In simple words, we understand that the intelligent products (that is, products that use AI at their core) we develop are designed to be used by humans in a way that adds value to their daily experiences. Therefore, we start by understanding the people who are going to use the product and the needs it is intended to meet. We then keep those needs at the focus of our considerations throughout the entire development process and the design iterations.