We always wonder about what will be next there in 2019. Artificial Intelligence, as well as machine learning, has made substantial progress in 2018. In this article, we are going to discuss several artificial intelligence trends in 2019, let’s get started.
There is a number of artificial intelligence trends in 2019 which are as follows:
Reinforcement Learning
It is totally different from the most common form of machine learning i.e. supervised learning and unsupervised learning. Supervised learning contains a learning process with labeled datasets to produce an output that is generic to all the datasets. On the other hand, unsupervised learning involves the connection of unlabeled data or the clustering of that particular data or the sets of data. Reinforcement learning is different from both these types of learning, it involves the actions and the moves that a computer should make to win the game. At present use of reinforcement learning is currently very limited but many giants have started exploring the uses and would continue experimenting with it in 2019.
Quantum Computing
Talking about quantum computing, we can dispel the myth that would make quantum computing incrementally better in 2019. Instead of this, we would expand the same in the right direction toward building better quantum computing devices. Although it is not a great increment surely will be the huge focal point in the area of artificial intelligence. Basically, it is nothing more than a quantum physics to computer calculation faster than any supercomputer. We have a long way in going with the respect to deal with the challenges of quantum computing such as to that of maintaining the coherence of the qubits or elimination of unnecessary and noisy computations. In 2019, we would be able to see more research on quantum computers and the strategies to minimize the error rates for meaningful computations.
The convergence of Ai and other technologies
One of the leading trends of artificial intelligence trends 2019, it alone would not be that much effective but can provide extensive results when emerged with other technologies such as IoT working. As far as the self-driving car is concerned, sensors used by the car for collecting real-time data can be enabled by the internet of things (IoT) while the programs used for decision making is powered by AI models. Now deep learning comes into action that can make decisions using this data. With all such technologies, it also includes path planning, eye-tracking to improve the monitoring, natural processing for understanding the voice commands and even direct itself to a fuel or gas station in case of running low on fuel.
Facial Recognition
Coming to this technology, it would continue to grow in 2019. It is a form of artificial intelligence application that helps in identifying or recognizing the person using their digital image, facial features and their patterns. It would be more accurate and reliable not only in 2019 but also in the coming future. We can have a suitable example from Facebook where the deep face program is used to easily tag the friend and family members in the photos. Many devices such as Android mobile phones and iOS are already using facial recognition as a digital password.
Biased data
This trend is becoming increasingly important as applications of artificial intelligence such as machine learning is often used in hiring, mortgage loans, prisoners release from parole or another type of service and benefits. Amazon has scrapped an internal hiring tool that increased bias against hiring women. Let us consider an example of a fictitious case of the decision of promoting the women, where historical data on employment may show women getting less promoted than men which may lead to having discrimination for the artificial intelligence applications.
Neural networks
Inching towards neural networks, this technology can emulate the human brain. They store whole data in a digital format such as sensory, text or time which can be used to classify and group the required information. For example, reading the handwriting comes easily and unconsciously to us in order to keep up to teach an algorithm we feed it with the help of large data to recognize the patterns in it. There is a huge requirement of neural networks in robotics, for prediction of the stock market, order fulfillment and diagnosis of medical problems or even to compose the music. These are just the fundamental to “deep learning”, a powerful set of algorithms that can be used for speech recognition, image processing and processing of natural languages. This can be a helpful factor in fraud detection or even deal with the signs of cancer. 2019 would continue to increase the research in this so that we can be able to have an advantage of the power of these applications for various life-altering scenarios or the situation.
This modern-day technology is not going to see a decline anytime soon. The growth of the same will continue to be the trending one and the focus would not only be on new technologies and latest applications in the industry but also depends on how it intersects with the society and heralds in technology for the better outcomes. We have discussed several artificial intelligence trends in 2019 if you are still left with any concern about the latest trends of artificial intelligence. You may reach out to us at [email protected]. We will be more than happy to serve you in clarifying your doubts and pain points.
