Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

The biggest trends in global tech world was predicted in a report by the IEEE Computer Society (IEEE-CS) in their annual report “Future of Tech”.

“The Computer Society’s predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018,” said Jean-Luc Gaudiot, IEEE Computer Society President. “The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future.”

Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, “The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst? Will new computing and memory technologies finally disrupt the extended life of Moore’s law? We’ve made our bets on our 2018 predictions.”

According to the report, the top 10 technology trends for 2018 are as follows:

Deep Learning – machine learning and especially deep learning will further the technology sector with the likes of Amazon making graphical processing units [GPUs] available for DL and Google running DL on tensor processing units [TPUs].

Digital Currencies – these virtual currencies led by bitcoin will become more accepted means of trading and business. This will also bring about improvements in cyber security as the stakes at risk would be even higher than now.

Blockchain – this new technology is already being tested out for commercial applications primarily by financial institutions and organizations. It is being predicted that other sectors would also try out this technology for use.

Industrial IoT – industrial IoT is still the most widely adopted use case for edge computing which cis empowered by DL. The report predicts that this trend would continue and there would be wider adoption along with a broader set of technical offerings.

Robotics – adoption of robotics is yet to flourish despite its research being performed for many decades. However, consumer robots can now be seen to a greater extent in the market in addition to more sophisticated military and industrial robots. It is predicted that there would be a wider adoption of this technology in the medical space.

Assisted transportation – there has been continued development of automated assistance in a limited manner.  Areas such as parking assistance, video recognition, and alerts for leaving the lane are among those uses. It is anticipated that there would be further development in vehicles assistance even though autonomous driving development has taken a back seat because of multiple roadblocks.

Assisted reality and virtual reality (AR/VR). – there would be a growth in the adoption of gaming and AR/VR gadgets in areas such as 3D projections and movement detection.

Ethics, laws, and policies for privacy, security, and liability – the report anticipates that there would be further development and adoption of ethical considerations in vertical industries and horizontal technologies

Accelerators and 3D – hardware performance is being improved with the help of accelerators. The report predicts that there would be wider diversity and broader applicability of accelerators and technologies such as FPGAs and ASICs and memristor-based DPE.

Cybersecurity and AI – there will be focus on making AI/DL techniques more robust with respect of adversarial traffic in any application area because AI itself is prone to cyberattacks.

(Adapted from PRNewswire.com)

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