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10 trends of Artificial Intelligence (AI) in 2019

Many of us are dazzling about AI in 2019 and its upcoming features in 2020. Some of us might be wondering about u201cSingularity.u201d Above all, some are still thinking AI is just a puff and no action. All valid questions to ponder. <br><br>Artificial Intelligence had many features with benefits. Since 2018 it has been continuously growing for the coming years. If that's not convincing, look around for yourself and notice all sorts of benefits & used of AI. <br><br>The Gmail email response prompter, Alexa in your kitchen, the transcription of your voicemails, automatic voice calls to your hairdresser for your next appointment, and of course, self-driving cars on the roads of Utah!

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10 trends of Artificial Intelligence (AI) in 2019

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  1. 10 trends of Artificial Intelligence (AI) in 2019 Creating the Digital Future

  2. Creating the Digital Future Many of us are dazzling about AI in 2019 and its upcoming features in 2020. Some of us might be wondering about “Singularity.” Above all, some are still thinking AI is just a puff and no action. All valid questions to ponder. Artificial Intelligence had many features with benefits. Since 2018 it has been continuously growing for the coming years. If that's not convincing, look around for yourself and notice all sorts of benefits & used of AI. The Gmail email response prompter, Alexa in your kitchen, the transcription of your voicemails, automatic voice calls to your hairdresser for your next appointment, and of course, self-driving cars on the roads of Utah! Industries have seen the rise of applied AI. AI is helping enterprises in different ways. E.g.: Walmart is using AI to increase operational efficiencies like sales tax refunds and audit processes.

  3. Creating the Digital Future Trend of AI from 2015 - 2025 Market in Million U.S. Dollars

  4. Check Out Top 10 trends of AI in 2019 Reinforcement Learning 1 Reinforcement learning is very different from supervised and unsupervised learning. It is a framework that does not use data recognition techniques. Instead, this uses experience-driven sequential decision-making. This method interacts with the environment to learn and move towards a goal that rewards the actions taken. Gaming algorithms uses reinforcement learning which determining the moves that the computer should make to win the game.Industries like higher education, healthcare, finance use AI. Ethics in AI 2 In the growing times of AI, there was a lot of news of replacing human jobs with AI. This autonomous process should be designed to meet up social, ethical values. We would need to have policy or standards; likewise, legal accountability, transparency, policies, embedding values in AI applications, governance framework.

  5. Convergence of AI and other emerging technologies 3 2019 would see more examples of the convergence of AI with IoT and AI with Blockchain. The robust feature that autonomous vehicles would have is the ability to communicate with each other so that traffic as a whole is optimized. Facial recognition 4 Facial recognition is a form of AI application that helps in identifying a person using their digital image or patterns of their facial features. With the boom in personalizing everything — from your shopping experience to advertising, this technology is going to be used more and more for biometric identification. This application will continue to rise due to the non-invasive identification and the ease of deployment.

  6. Quantum Computing 5 Quantum computers will be seeing improvements, although less. Quantum computers use quantum physics to compute calculations faster than any supercomputer today. Unlike a regular computer, quantum computers use qubits (quantum bits) to store information. Biased Data 6 This has been increasingly important due to its increasing demand. The machine learning models are used for decision-making such as hiring, mortgage loans, prisoners released from parole, or the type of social service benefits.

  7. Neural networks 7 There is enormous demand for neutral networks. The current neural network technologies will be improved upon in 2019. Neural networks are fundamental to “deep learning,” robust set of algorithms that can be used for image processing, speech recognition, or to process natural languages. Socio-economic models 8 With the growing age of AI, the most crucial query is whether AI will replace all jobs. It all depends where AI will replace the jobs; it will also open new job posts with different skill sets.

  8. Deep learning 9 Machine learning, the most popular form of AI, has become challenging when the number of dimensions of data increases. Deep learning is the latest technology behind self-driven cars, voice control, image recognition. There has been an increasing interest in deep learning algorithms. Privacy and Policy 10 Data privacy is the most significant part. Where there are new updates and AI applications, the policies also need up-gradation. Most of us in unaware of the digital data usage. Standards that are critical to ensure safety, transparency, and awareness of the complex AI technologies would also be developed.

  9. Creating the Digital Future AI is not going down anytime in the future. As the world becomes more and more digital, AI advances. With our entering in the new year, AI focuses more on new technologies & applications in the industry.

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