[PDF] Top 20 The Role of Artificial Intelligence (AI) in the Near Future

... to artificial intelligence transforming industries, the first industry that comes to most people's mind is the transportation ...that artificial intelligence is likely to ...construction. ... See full document

... AI–Artificial intelligence[1] is the science and engineering of making intelligent machines or intelligent ...software. Artificial intelligence is playing an increasing role and ... See full document

... complications, Artificial intelligence (AI) techniques can play a crucial ...s Artificial intelligence-based practices with Software based engineering (AI&SE) consumes in ... See full document

... Abstract— Artificial Neural Network is a branch of Artificial intelligence and it has been accepted as a new computing technology in computer science ...of Artificial intelligence and ... See full document

... many AI we use for business, such as a virtual chatbots that talk to customers in their phones or ...services. AI sped up the process of delivering information, assessing with privacy and ...the near ... See full document

... Abstract: Artificial intelligence (AI) is a locality of engineering science that emphasizes the creation of intelligent machines that employment and reacts like ...an AI first company (Google ... See full document

... this, AI Genomics is the tool required to elucidate these dependencies by fi ltering and treating appro- priately the genetic pathways, since it links DNA sequen- cing, environmental factors, and disease ... See full document

... AI, artificial intelligence, burden of disease, diagnostic tools, Douglas Shinsato, electric utility, Future of Health: Telemedicine and AI Summit, health expenditure, Ho Chi Minh City, ... See full document

... Abstract: Artificial intelligence do provide a decision making mechanism that operate over a predefined programming scopes that restrict it from taking decision beyond the limits of a ...and ... See full document

... It could be argued that performing this abstraction (perception) for AI programs is merely the normal reductionist use of abstraction common in all good science. The abstraction reduces the input data so that the ... See full document

... the AI- powered robots. One thing is certain—artificial intelligence and robots, if utilised wisely, have the power to bring about a paradigm shift in banking in ... See full document

... concerning AI one arguable concern occurs that is artificial intelligence much more powerful than all-natural ...of AI, is it that the future world is coming to be ...Biological ... See full document

... The uncertainty of decision making happen when there is a lack of information about the concequences which can make the interpreting process for a situation more difficult. Jarrahi (2018) agrees that and addresses that ... See full document

... The pace at which genome-wide studies (GWSs) are being conducted has increased dramatically, and has led to an interest in other cell-wide profiling studies such as single nucleotide polymorphism (SNP)-omics, ... See full document

... of artificial intelligence is genuinely a captivating ...advances, AI is changing our lives each ...distant future will convey keen machines to make life increasingly helpful and agreeable for ... See full document

... of artificial intelligence (AI) techniques, mainly artificial neural networks, have been applied to technical financial forecasting as they have the ability to learn complex nonlinear mapping ... See full document

... of artificial intelligence techniques to the Load-Forecasting ...Various Artificial Intelligence (AI) techniques used for load forecasting are Expert systems, Fuzzy, Genetic Algorithm, ... See full document

... 722. Ren, J., et al., Primary energy consumption and its structure in Heilongjiang province. Beijing Huagong Daxue Xuebao (Ziran Kexueban)/Journal of Beijing University of Chemical Technology (Natural Science Edition), ... See full document

... To understand the breadth and depth of the research problem, researchers have used the mixed method technique, which comprises both quantitative and qualitative methods of data collection.In this study, researchers have ... See full document

... Nonetheless, in order to get satisfactory result, too many neurons is not necessarily needed, as explained by Eric [5] in 1996. Yang et al. [6] used adaptive artificial neural networks in building energy ... See full document