10 technology trends that will actually be adopted in 2019

10 technology trends that will actually be adopted in 2019

February 11, 2019 29 By Netleaf Software

Here are the top 10 technology trends that IEEE experts predict will reach wide adoption in 2019.

1. Deep learning accelerators (GPUs, FPGAs, and TPUs)

Companies are increasingly announcing plans to design their own accelerators, which are commonly used in data centers and have the potential to be deployed at the edge. “The development of these technologies will allow machine learning (or smart devices) to be used in many IoT devices and appliances,” the report said.

2. Assisted transportation

We are still a few years away from fully autonomous, self-driving cars, but both personal and municipal vehicles are increasingly integrating automated assistance. The wider adoption of these technologies will pave the way for fully driverless cars.

3. The Internet of Bodies (IoB)

Consumers continue to adopt Internet of Things (IoT) and self-monitoring devices that are moving closer to and even inside the human body, including fitness trackers and smart glasses.

“Digital pills are entering mainstream medicine, and body-attached, implantable, and embedded IoB devices are also beginning to interact with sensors in the environment,” the report said. “These devices yield richer data that enable more interesting and useful applications, but also raise concerns about security, privacy, physical harm, and abuse.”

4. Social credit algorithms

Social credit algorithms use facial recognition and other biometrics to identify people and retrieve data about them from social media and other online profiles, for the purpose of approval of access to products or social services. Some countries like China are reportedly already using these systems to assess loyalty to the state, the report noted.

In our networked world, the combination of biometrics and blended social data streams can turn a brief observation into a judgment of whether a person is a good or bad risk or worthy of public social sanction. Some countries are reportedly already using social credit algorithms to assess loyalty to the state.

5. Advanced (smart) materials and devices

Advanced materials and devices such as tunable glass, smart paper, and ingestible transmitters will create new applications in healthcare, packaging, appliances, and other fields. The use of these technologies will have a major impact on the way we perceive IoT devices, and lead to new use cases, the report said.

6. Active security protection

As hackers become more sophisticated, a new generation of security methods uses a more active approach than in the past, tapping machine learning and other methods to identify attacks.

7. Virtual reality (VR) and augmented reality (AR)

VR and AR technologies can be useful for employee training, education, engineering, and other fields. However, the high cost of entry has led to a lack of applications, which in turn has kept costs high, the report noted. But as VR headsets become more mainstream, we may reach a tipping point this year.

8. Chatbots

Artificial intelligence (AI)-powered chatbots are frequently used for basic customer service and in operating systems as virtual assistants, and their ease of use and usefulness has grown in recent years, the report said. The technology will continue to spread into other industries for more use cases in 2019.

9. Automated voice spam (robocall) prevention

Spam phone calls are an ongoing problem, particularly as methods of attack such as spoofing the caller ID number of the victim’s family or coworkers have increased.

“This is leading people to regularly ignore phone calls, creating risks such as true emergency calls going unanswered,” the report said. “However, emerging technology can now block spoofed caller ID and intercept questionable calls so the computer can ask questions of the caller to assess whether he or she is legitimate.”

10. Technology for humanity (specifically machine learning)

Technology will soon be able to help resolve societal problems, according to the report.

“We predict that large-scale use of machine learning, robots, and drones will help improve agriculture, ease drought, ensure supply of food, and improve health in remote areas,” the report stated. “Some of these activities have already started, but we predict an increase in adoption rate and the reporting of success stories in the next year.”

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