But now, it has developed into a vast, technical domain that is rapidly evolving every year.
Furthermore, researchers and scientists have been working on some very fascinating concepts which can mimic the writing patterns of authors, generate fake videos, make intelligent humanoids, to name a few. Given below are this year’s five hottest innovations in the field that will blow your mind.
1. Software-based on GANs
GANs is the abbreviation for Generative Adversarial Networks. This concept is mainly used to generate duplicates of input data or to simulate environments. It is a combination of 2 neural networks, namely the ‘generator’ and the ‘discriminator.’
The generator tries to mimic the input data, whereas the discriminator’s job is to determine if the output of the generator network is fake or not.
The end goal is to train the GAN in such a way that the generator’s output matches the input data, and the discriminator network can’t differentiate between both of them. GANs are used to simulate an astronomical phenomenon, deepfakes, improving image resolution, etc.
The end goal is to train the GAN in such a way that the generator’s output matches the input data, and the discriminator network can’t differentiate between both of them. GANs are used to simulate an astronomical phenomenon, deepfakes, improving image resolution, etc.
It is probably the most fascinating invention in the field of AI.
2. Automation through NLP
Natural Language Processing (NLP) is a strong contender for becoming the most revolutionary technology of the decade. The advancements in NLP saw a sudden boost in the past couple of years. That is why experts claim that natural language processing will catch the attention of a large number of AI enthusiasts in 2020.
Organizations like Google, Stanford, MIT, IBM, Bell Labs, etc. are working heavily on developing efficient modules for natural language processing. Softwares based on NLP are on the verge of automating customer service of many big organizations.
2. Automation through NLP
Natural Language Processing (NLP) is a strong contender for becoming the most revolutionary technology of the decade. The advancements in NLP saw a sudden boost in the past couple of years. That is why experts claim that natural language processing will catch the attention of a large number of AI enthusiasts in 2020.
Organizations like Google, Stanford, MIT, IBM, Bell Labs, etc. are working heavily on developing efficient modules for natural language processing. Softwares based on NLP are on the verge of automating customer service of many big organizations.
In addition to this, NLP is also heavily used in personal assistants such as Siri, Alexa, and Cortana. There are high chances of witnessing NLP widening its horizons in the coming months.
3. AI in Semiconductor Industry
3. AI in Semiconductor Industry
Artificial intelligence is being integrated with semiconductor devices, especially in chips. Statistics suggest that this trend is growing at a very high rate. The revenue of AI-enabled chips would cross the $90,000 Million mark by 2025. It shows the potential of a collaboration of artificial intelligence and semiconductors.
You will see Qualcomm’s AI-enabled processors before 2021 in the market. Artificial intelligence in computer chips will boost the efficiency of hardware. AI-enabled processors can perform trillions of operations every second without any restriction.
4. Deep Reinforcement Learning
It is the combination of two sub-domains of artificial intelligence. Ever since the upgrades in computational power, R&D departments of big corporations have started focusing on deep reinforcement learning.
In simple terms, it can be defined as an extension of deep learning which learns on the basis of rewards and punishment.
It’ll be used in many niches such as computer vision, NLP, and will be applied in self-driving cars, game AI, chatbots, etc. You should watch out for developments in Google’s Deepmind and OpenAI. Many companies will harness this concept in 2020.
5. AI Taking Care of Our Privacy
You might have read about global protests on privacy intrusions by social media companies. The Facebook-Cambridge Analytica controversy ignited this issue to another level. Since then, AI engineers and researchers have been working on the ways to secure our online privacy with the help of artificial intelligence.
Instead of taking user inputs and relying on their private data, companies are developing recommendation engines to adhere to privacy regulations. Netflix, Amazon, and Pinterest are the patrons of using AI to replace privacy intrusion. Moreover, many countries are drafting strict regulations on this issue.
That’s why you might see an uprising in this trend in 2020.
If you’re an AI enthusiast or a techpreneur, you must definitely keep an eye on the aforementioned trends. Apart from enlightening you, these concepts might as well give you an opportunity to build your own AI company.
Written by - Jaime A.
Edited by - Rudransh Khurana
If you’re an AI enthusiast or a techpreneur, you must definitely keep an eye on the aforementioned trends. Apart from enlightening you, these concepts might as well give you an opportunity to build your own AI company.
Written by - Jaime A.
Edited by - Rudransh Khurana
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