Thu. Oct 28th, 2021

How far can the advances in AI and Machine learning take us in the next 10 years?


The technological giants in the current world deem artificial intelligence and machine learning as a unique but open key to unlock the potential of the fourth industrial revolution. But, the problem with artificial intelligence and machine learning is that these technologies progress at such a rapid pace that even the largest of the companies find it difficult to cope up. Moreover, it becomes even more difficult to absorb the trends of AI and machine learning given the impending research and development in this sector.

This article aims to understand the potential of the technologies like AI and machine learning by analyzing the advances that can be brought in the next 10 years.

Advances in Natural language processing

For the last five years, numerous language models made the comprehension of natural language processing very easy. As of now, there are at least ten different models which are very popular in this domain. One of the most potential research domains in the next few years is the training of a natural language processing model on a big database so that it can be extended to other similar projects. Top data scientists from different machine learning institutes are working on tools which can make the otherwise sophisticated natural language processing models very lucid in working and handling. Let us now move to the advances that we can witness in natural language processing in the next ten years.

Firstly, the most important part of research in this domain would be focused on models like ALBERT, RoBERTA and OpenAI GPT-2. In addition to this, we would witness rapid advances in transfer learning in the coming decade. This is because computing challenges and datasets are increasing across various verticals.

Secondly, the enlarging of linguistic databases and broadening of the knowledge discovery domain would boost the performance of the current natural language processing models. To be precise, deep learning techniques would play a major role in the evolution of the present natural language processing systems.

Thirdly, major breakthroughs would be witnessed in the research of machine translation as well. This is because machine learning institutes are all set to improve the existing translation modules by researching neural networks, visual computing and reinforcement learning.

The mouth of artificial intelligence

When we refer to speaking AI, we are actually pointing out the advances in chatbots. Chatbots bring along with them a series of benefits like automation, effective grievance redressal mechanism and quick customer response. This means that business process outsourcing would witness a new high due to advances in this technology. Following trends are on the cards in this sector:

Firstly, Dialog systems are becoming as much personalized as possible. This is rapidly eroding the semantic barriers between man and the machine.

Secondly, the ability of the chatbots to comprehend the moods of humans is becoming an area of research. There are a number of machine learning institutes which are involved in understanding the realms of machine generated responses. This would aid in doing away with repetitive responses.

Thirdly, the research in the sector of emotive cognitive is going in the right direction. A variety of open domain chatbots are being developed and scientists are trying their level best to introduce empathetic components in their neural schema.

The vision of future computing

The field of computer vision would witness rapid advances due to its growing applications like education, healthcare and logistics. To give a glance of the advances in visual systems, we can think of the nouveau architectural frameworks of EfficientNet and SinGAN.

Let us briefly describe the future advancements here:

Firstly, we have to give credit to the interpretation of 3D projections from 2D images. This research work pertaining to the interpretation of dimensions is carried out by Google and Facebook. With the help of depth maps, we would be able to construct the entire canvas of natural images in future.

Secondly, the synchronization of computer vision with natural language processing is giving rise to a new horizon of research. Ranging from virtual navigation in 3D environments to development of reader friendly devices for the blind, the applications of computer vision are growing at a rapid pace.

Concluding remarks

There are other advances which deserve a brief mention. These include Multi-agent reinforcement learning, policy evaluation using machine learning and detection of breaches in cybersecurity infrastructure using deep learning.

That said, we are ready to witness a major leap in the domains of artificial intelligence and machine learning in the upcoming decade.

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