In December 2017, the IEEE Computer Society released its technology adoption predictions for 2018, with a focus on deep learning, digital currencies, blockchain, industrial IoT, robotics, assisted transportation, and others on the front line of computing breakthroughs. As we approach the end of the year we looked back and graded our 2018 predictions while providing insights on the advancements of the trends over the past year and analyses of their future potential.

“The past year has seen mature deployment of industrial IoT, continued adoption of deep learning, and expanded uses of blockchain technologies,” said Dejan Milojicic, 2014 IEEE Computer Society President. “We have seen continuation of innovative technologies from last year that are setting the stage for a promising 2019.” Continue…

At the start of the year the IEEE Computer Society predicted what would be the top tech trends for 2017. The trends were picked by a committee of member volunteers led by Dejan S. Milojicic, who was the 2014 IEEE Computer Society President. The trends focused on industrial IoT, artificial intelligence, machine learning, cognitive computing, 5G, accelerators, and others.

With the year coming to an end, the committee decided to look back and see how they did. “The past year has seen dramatic adoption of deep learning and rapid introduction of cryptocurrencies and blockchain technologies,” said Milojicic. “We have not seen such innovation dynamics in a long time, all setting the stage for an even more promising 2018.” Continue…