In its predictions of the Top 10 Technology Trends for 2019, the organization forecasted deep learning accelerators, assisted transportation, and the Internet of Bodies (IoB) to lead the 2019 technology outlook. Looking back on its 2019 predictions, the IEEE CS scored the successes and shortcomings on its future view, along with analysis of the progress and potential of each predicted technology:
- Deep learning accelerators (Score: A) - Deep learning (DL) accelerators have made a substantial advance through many startups and products already on the market. This is very consistent with DL advances from previous years as well as our prediction.
- Assisted transportation (Score: A/B) - Many vehicles depend on video and image recognition which are enabled by accelerators. While the full autonomous vehicle vision is still in the works, many features are being deployed as assisted functionality.
- The Internet of Bodies (IoB)(Score: B/C) - The movement of the Internet of Things into the IoB continues to progress below the radar of most people. As human bodies become more reliant on the internet for their functionality and safety, these attached or implanted devices used for medical purposes, employment monitoring, and recreation will continue to gain prominence.
- Social credit algorithms (Score: B-) - Social credit algorithms are largely developed away from the public's attention because of the potential privacy and freedom breaches they represent, but detailed data is required on entire populations to be effective and we are witnessing the increased collection of identifying and behavioral data at country scales.
- Advanced (smart) materials and devices (Score: B/C) - Many of these technologies - such as smart road materials, smart pills, and interactive media - appear in small, local experimental settings, but have not received wide distribution.
- Active security protection (Score: B-) - While active security protection still seems like a good idea, it appears that most of the security mechanisms are still reactive as opposed offering a more dynamic approach - i.e.,