Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are beginning to become apparent in all industries nowadays. The increased popularity of AI in the construction industry, however, is rather limited in comparison to other industry sectors. Moreover, despite AI being a hot topic in built environment research, there are limited review studies that investigate the reasons for the low-level AI adoption in the construction industry. This study aims to reduce this gap by identifying the adoption challenges of AI, along with the opportunities offered, for the construction industry. To achieve the aim, the study adopts a systematic literature review approach using the PRISMA protocol. In addition, the systematic review of the literature focuses on the planning, design, and construction stages of the construction project lifecycle. The results of the review reveal that (a) AI is particularly beneficial in the planning stage as the success of construction projects depends on accurate events, risks, and cost forecasting; (b) the major opportunity in adopting AI is to reduce the time spent on repetitive tasks by using big data analytics and improving the work processes; and (c) the biggest challenge to incorporate AI on a construction site is the fragmented nature of the industry, which has resulted in issues of data acquisition and retention. The findings of the study inform a range of parties that operate in the construction industry concerning the opportunities and challenges of AI adaptability and help increase the market acceptance of AI practices.

Sometimes an app is so just right for its moment in history that it hits everyone between the eyes and lingers in the limelight. That's what is happening with Prisma (free, iTunes Store link), a free photo/art app for iPhone that touts special effects image "filters" that render the painterly styles of famous artists like Van Gogh, Picasso, Lichtenstein, Mondrian, Kandinsky, and others. The buzz around Prisma and the fascination it has generated persists because the app is super simple to use and yields an endless variety of genuinely unique results. Each style is applied differently in response to the unique patterns in the picture. Use of neural networks for art, which involves interpreting images in layers, is not brand a new concept.