The current era is going through a revolutionary change. The reason behind this is “Artificial Intelligence” and “Machine learning”. As the arrival of these two most important branches of computer science is certainly going to hit the rotational wheel of technology again. From vast Industrial work to normal day to day life, there is not any area left untouched by them. It’s more like a need than being a mere add up in technology.
Nowadays everyone is just talking about the impacts and trends in “AI” over humanity and how did it affect the year 2019? Which is nearly at its end. What would be the future like with everything working on machinery? So, let’s start discussing those top trends in AI with some involvement in Machine Learning (ML).
List Of Top Trends In Artificial Intelligence:-
1. Reinforcement Learning –
Very unlike to two forms of machine learning ( Unsupervised and supervised ) that involves data recognition technique and connection in order to create the programming results. Well, Reinforcement learning does not have any database connection recognizing technique, but a simple framework that uses a cognitive form of learning. This method arises due to the continuous interaction between the machine and its commander. Here the code or algorithm is adaptive with the respective environmental activities going on.
2. AI Conventions –
Ethics in machine learning is a broad topic and can be a personal quest for a certain someone. This kind of reminds me of the movie I watched when I was like 10 – MATRIX ( where humans were fighting to machines because the machines started overruling humans by dethroning them from society ). The same is the case with AI as it has an endangered human job by covering up the area they used to work in. So, this makes it a big question as if taking it further will really benefit the whole of mankind or just the particular and specific class.
3. Quantum Computing in AI –
Quantum computing comprises of the quantum physics which basically is a faster and easier mean of calculation, that is even hard for a supercomputer to catch up with. Not that the AI has totally turned the pages concluding the definition of computing in 2019 but has triggered and pushed it substantially. Meanwhile, the changes applied this year are not considered good for quantum computing. But as we know science always finds its own way, so we have a great expectation of the table to turn in the field.
4. Deep Learning –
Deep learning is the type of learning involved in machine learning (ml), dealing with the technology used in voice control, text to speech conversion, recognition of the user’s face and fingerprint. Other examples that set up in the area are Google home, existing location and changing, different algorithms in Deep Voice recognition. Few renowned organization has succeeded in converting phoneme to audio with the help of Wave net. As the implementation is based on a neural network makes it even more versatile.
5. Convergence Of AI, At it’s Full –
The creation of autonomous or automatic mobile vehicles. Imagining a machine or vehicle that is self-driven without AI or the concept of machine learning applied is utter ignorance. These upcoming inventions, based on AI and IoT ( Internet Of Things ) are bringing the exciting out of consumers as these fully self optimized and self improvised machines have got many insane features. They do it by customizing the new and old data within it. Some of the features include driving direction, eye tracking, automatic voice recognition, path planning.
6. Neutral Network in AI –
Simply saying, this trend in AI can be a turning point for IoT as this stimulates the brain of the human being. Downright, Imitating all it’s function and power and storing all the data in the digital form. We can assume the amount of aid mankind is going to obtain. From now we need not provide or feed machines with the heap of data, code, and information because it will work as us( human brain ) to understand things easily and unconsciously. The demand for NN has risen in medical, robotics, music and stock market recently.
7. Social Economic Model –
What’s becoming scary for common people is that if Artificial Intelligence really going to snatch away human needs from the day to day task and end up making them unemployed. The question is literally turning out into one of the greatest threats for humankind. Although, current trends are assuring it not to happen by offering several job trends and skill development. There are supposed to have jobs in manufacturing and agriculture sector.
8. Facial Recognition –
Nowadays facial recognition is being established in most of the prominent sectors so as to ensure safety. More than that, this feature is kind of help to those who wish not to share their personal info and prefer to stay safe. The function or the technology promotes the identification of a person using his/her digital image or specific facial pattern. Hence, playing an essential part in Artificial Trend in the year. The feature has bought precision and accuracy, leading consumers to rely on its application.
9. Biased Data –
Since machine learning is getting along with almost every major sector significant for mankind. This holds a big concern as all the decision making such as mortgage, hiring, helpful norms and others are not biased with particular things. Let’s take the earlier example of employment and recruitment that was totally gender-based and they were given the orders of not recruiting too much of women as the priority setting was in the favor of recruiting males. Therefore, the kind of affliction or partiality that can arise in the future of AI is something to give thought to.
10. Privacy and Policy –
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