Deep Learning: Deep Learning is gradually coming to the forefront too, and it is gradually being adopted in data centers. For instance, applications like video, image, and audio recognition are being used on a number of verticals. While Deep Learning greatly depends on accelerators, it can be used for many assistive functions like cybersecurity, virtual reality, and aided transportation.
Blockchain: Bitcoin usage and the revival of peer-to-peer computing is imperative to the implementation of blockchain technology. It has therefore been predicted by the IEEE-CS that there will be an increment in the number of organizations that will be rendering blockchain products and consolidating the products.
Cybersecurity: Businesses, especially internet-based businesses, are beginning to appreciate the importance of cybersecurity although it is very hard to manage. Exploiters on the internet advance their game every time, thereby making it difficult for IT to keep up. This is why Deep Learning and Artificial Intelligence (AI) technology will need to be made stronger to block out exploiters and their sophisticated methods of exploitation. So, IT cannot afford to stop, it has to keep up with and overtake exploiters.
Accelerators: Accelerators have been seen as a way to enhance the energy efficiency and performance of hardware by reducing the costs at the same time. The IEEE-CS has again predicted that 2018 will see a broader and widespread application of accelerators.
Virtual Reality (VR): Over the years, gaming and virtual reality (VR) devices have witnessed immense growth in adoption. It is therefore envisaged that this growth will keep up with the modern user interfaces like movement detection and 3D projections.