Since the previous years, the integration of several emerging technologies has sped up considerably. We have witnessed how the threshold of AI development continued to lower. The growth of technological innovations resulted in the dawn of the fourth industrial revolution.
Following the path-breaking discoveries in the area of science and technology for the past few years, we can roughly develop an outlook of what’s to come in 2020. This will help us to embrace science and technology to understand the factors to our understanding of the future.
So, without further ado, let’s delve into some of the technology trends that are expected to emerge and prosper throughout the year.
1. Progress of Natural Language Processing (NLP)
Chatbots and AI-powered innovations have witnessed a considerable mainstream application. They have already redefined the way brands connect with their customers. However, it’s said that with the integration of chatbots, NLP will reach a whole new level of high by the end of 2020. This means NLP will be far more capable of decoding sarcasm, puns, and double meaning descriptions, and it’ll be more equipped with a power of context.
The complex algorithms behind NLP will depend on millions of computations and predictions generated by the integration of AI. This will help maintain a more seamless conversation between humans and machines.
For instance, Lilt is a translation tool that merges with other platforms to make communication across language barriers smoother than with a human translator.
2. Implementation of Intelligent transportation
The growth of autonomous vehicles is becoming more rational. The market will welcome the development of intelligent driving more in the coming years. In 2020, more autonomous vehicles are likely to be tested in different scenarios like public transport, logistics, geofenced areas, and so on.
“Also, V2X (vehicle to everything) technology is ready for large-scale deployment and application”, opine Ted Mason, a software developer and expert at MyAssignmenthelp. This will help make vehicles and roads develop a wide range of connections. It will further promote the implementation of intelligent transportation in parks, cities, expressways, and other scenarios.
For example, Waymo, Google’s sister company, has been testing autonomous taxis in a few select cities in California.
3. Predictive and personalized medicine
Technology is steadily reshaping healthcare at an unprecedented rate. In terms of providing treatment, we’ll witness a much evolved personalized approach. This is also known as precision medicine, which lets doctors more accurately prescribe medications and apply procedures, thanks to a data-driven understanding of how effective they are likely to be for a specific patient.
It’s not exactly a new concept. But after the recent breakthroughs in technology, particularly in the fields of genomics and AI, this trend is something to look forward to. It will help provide a greater understanding of how people’s bodies are better or worse equipped to ward off particular diseases. It’ll also help determine how the patients are likely to react to different types of medication or treatment.
4. More mature multimodal deep semantic understanding
This technology takes the information of different models such as image, voice, and text as input, and integrates cognition and perception technologies. This innovation was implemented to achieve a multi-dimensional deep understanding of information.
With the large-scale implementation of computing vision, speech, natural, and language understanding, multimodal in-depth semantic knowledge is becoming mature. This leads to a broader application scenario. Combined with AI chips, it’s likely to be widely used smart home, finance, education, security, healthcare, and other industries.
5. Practical deployment of Internet of Things
IoT is has been the center of attention for the past couple of years. But there haven’t been as many mainstream applications today as it was predicted earlier. However, with the implementation of 5G, the number of connected devices and mainstream IoT applications will rise.
Last year Amazon launched Amazon Go, a system that utilizes IoT and machine vision technologies to allow consumers to shop without a manual check out. With time, it’s expected that there will be more deployment of sensors and vision technologies, allowing more scalable IoT solutions.
6. AutoML is on the rise
AutoML or automatic machine learning will significantly lower the threshold of machine learning. AutoML will be able to implement the iterative process in traditional machine learning and present an automated process. Researchers are only required to input meta-knowledge (like convolution operations, problem descriptions, etc.).
The algorithm associated with autoML will choose the proper data, optimize the model configuration and structure, train the model, and incorporate it on different devices. The progress of AutoML means the threshold of machine learning will be lowered, and the rise in the popularity of AI applications.
7. Quantum computing
Quantum computing has been anticipated to experience a new level of growth in 2020. In the case of quantum hardware, the performance of programmable quantum devices will be further enhanced and have the capacity to correct the errors. Quantum algorithms with some practical value will be able to run on them, and the implementation of quantum AI will be more developed as well.
High-quality quantum computing platforms and software will also emerge and be deeply connected with AI and cloud computing technologies.
Wrapping it up,
While most of these technologies had its seeds sown in the previous years, but there hasn’t been any progress in terms of practical application. It’s anticipated that in 2020 these technologies will be enhanced for more widespread implementation.