Everyone is talking about"artificial intelligence " s newesttrend – The new normal is almost a part of every workflow in every industry. Throughout 2018, you have observed the exponential push up of applications, tools and platforms assembled on artificial intelligence and machine learning technologies. These technologies not only give people the impression of software or Internet trade, but also give people the impression of health care, agriculture, manufacturing and other aspects.

Well, most of you may be thinking“What is the future of artificial intelligence from 2019 to 2020?”And some people may stick to the "uniqueness" of artificial intelligence. Others are still thinking that "artificial intelligence is all accumulated rather than working."

All questions that cannot be answered need to be considered.

With the advent of new technologies, artificial intelligence has made a major breakthrough in 2018. If you don't believe me, please take a look at yourself and see for yourself the subtle convenience that AI offers you. The responding initiator in Gmail, Alexa on the central desk, automatic voice calls, scheduling your salon appointments for "Me Time", and how to forget to drive a car on the road.

In addition to the above scenarios, there are many other industries that take advantage of the rise of application AI. according toThe report of StatistaThe latest report predicts that revenue from the latest trends in artificial intelligence will increase significantly in the coming years. Therefore, it is clear that “early recipients are pushing their artificial intelligence investments, launching more companies, and getting positive returns.”

This growth is further accelerating through investments in emerging technologies in artificial intelligence, especially the proportion of 21%, and is expected to grow even more in the coming years. It can be said that 2019 will also have an upward trajectory.

It's time to take a look at the latest trends in 2019's artificial intelligence:

Conventions in 1. AI

The ethics of artificial intelligence is an important part of technical ethics. On the contrary, this is a broad theme and a personal pursuit for some people.

As Uncle Ben said in Spider-Man, "great power is accompanied by great responsibility", this axiom applies to the latestArtificial intelligence application. In the debate and discussion of artificial intelligence replacing humanity, the bottom line to answer is

"Does self-rule and intelligent systems develop in a way that encompasses personal and social moral values?"

The 2018 year is a year of witnessing a large number of presentations, videos, white papers, and other content that you can calculate for this topic. Even in 2019, this theme is growing.

Maybe, what do you have to consider to ensure the ethical design of an AI-based application?

followIEEE GlobalAutonomous and intelligent systemsEthical initiativePolicies and guidelines must be developed, keeping in mind the following:

transparency:This is not only to enforce data usage policies, but to verify access to rules infused in systems other than audit trails.

Legal liability:Instead, it is a property law or any legal authorization for any damage caused by the AI ​​application.

Empowering artificial intelligence applications:This can be achieved by expressing value in terms of obligations and prohibitions, which can be performed by arithmetic.

Administrative framework:Guidelines, procedures and procedures that do not violate basic human rights.

policy:The policies regarding the impact and association of this application should be in place.

2. AI-based chips appear

Unlike other software, the latest developments in the field of artificial intelligence include specially designed CPU-compatible processors. In addition, the fastest and most recent CPUs may not be able to improve the training speed of AI-based models. Although it is assumed that the model requires additional hardware to handle complex mathematical calculations to speed up tasks such as facial recognition or object detection.

2019, Intel, NVIDIA, AMD, Qualcomm, ARM and other large chip makers will release custom chips to speed up the execution of AI-based applications. These chips will be optimized for specific situations and scenarios related to computer vision, natural language processing and speech recognition.

In addition, they will see a solid footprint in next-generation applications in healthcare and automotive. Some chips will assist next-generation databases in accelerating query processing and predictive analysis.

3. IoT, blockchain and artificial intelligence at the edge of the fusion

2019 will be an example of witnessing the convergence of blockchains with artificial intelligence and the Internet of Things (IoT) and artificial intelligence.

In fact, self-driving is not a rational reflection if there is no Internet of Things and artificial intelligence. IoT enables and accesses sensors built in the car to collect real-time data, while the latest innovations in artificial intelligence models use vehicles for decision making.

For a better understanding,Deep learningThe AI ​​algorithm takes the necessary actions and makes decisions based on this data. Some include path planning, driver monitoring with eye tracking, natural language processing for understanding voice commands, or you can assume self-direct control of the gas station when fuel is low.

That's not all; another additional feature of these self-driving cars is communication capabilities, so the entire traffic flow has been simplified.

wait! There is another huge integration – blockchain and AI. As we all know,Blockchain TechnologyIn security and scalabilityaspectThere is some controversy, and AI is affected by privacy and trust issues. However, when the two combine to solve these problems, the blockchain will adapt the decentralized data market, while artificial intelligence is more trustworthy and pure.

4. Automated machine learning will be the next point: "Enhanced learning"

Reinforcement learning is人工智能The next focus of the latest developments in the field. Yes, it is different from supervised and unsupervised methods. Supervised learning involves learning with a descriptive data set and providing an output that is common to that particular data set (to find the price of a particular parcel given the value of the land at a particular location). However, unsupervised learning involves finding associations between unlabeled data or arranging the data. (Imagine a set of photos that are unmarked but have parameters such as color, size, shadow, etc. Also, the program produces output whether the image is a flower or an animal.

Reinforcement learning is a unique approach to the above approach. This is a machine learning method inspired by behaviorist psychologists, similar to how children learn how to accomplish tasks. In the technical language, it is a framework that does not use data recognition technology. Instead, it uses experience-driven decision making.

In the context of artificial intelligence trends, it is a dynamic learning programming that is based on reward and penalty system preparation algorithms.

Intensive learning is being considered, but the industry is exploring applications and will continue to experiment with them in the coming years.

Keep an eye on the use of some industrial cases under consideration:

  • Higher education  – Reinforcement learning forCustom learning and teaching experienceUseful purpose.
  • Health maintenance- forDiabetes, delusions, etc.Treatment policy for chronic diseasesHealthy decision.

5. The dawn of artificial intelligence quantum computing

Artificial intelligence and quantum computers are two fascinating boundaries. Every day, it seems to be the mostAdvanced quantum computerInnovation. So, before you eliminate any myths in the new artificial intelligence technology, these technologies will make quantum computing better in 2019 years, and it will be a little good for creating the right direction for better quantum computing devices. However, this will be a small increment, but it is still a huge focus in the field of artificial intelligence.

Quantum computers are designed for quantum physics and are computationally faster than supercomputers. You must equip your computer system with bits and bytes. Unlike traditional systems, quantum computers use Qubits to store information.

However, in dealing with the delay of quantum computing, there is still a long way to go in maintaining the consistency of quantum bits or expelling noisy and unwanted calculations.

However, the most anticipated solution will be to solve problems that are almost impossible to solve, such as tracking the Earth in a galaxy, climate change or other planets whose bodies can destroy cancer cells.

6. Socioeconomic model

When participating in any artificial intelligence event, the most prominent question on everyone's lips is "Will the future trend of artificial intelligence take away work?". The answer in a single outline is "it depends."

While artificial intelligence is taking over the daily tasks of scarce resources, it immediately provides new jobs with unique skills. The main reason is the risk of expanding the skills gap and maintaining the potential to create a polarized society.

As you know, the current trend in artificial intelligence is attracting new skills and jobs; it must complement value creation.For example, automation may eliminate the need for specific content, but there will be a pursuit of high-touch operations on the same note.

7. Digital Drift of Neural Networks

A natural assumption of "Neural Networks in Artificial Intelligence" is to replicate the capabilities and functions of the brain, including intelligence. They store all data in digital form-text, time or senses, which are further used to classify information.

The growing demand for neural networks is no longer a surprise, impromptu instant prediction of the stock market, diagnosis of specific health issues, and even the formation of music. Moreover, they are an indispensable stepping stone in "deep learning." Neural networks create powerful algorithms for handling natural language, speech recognition. It can help automate cars and detect cancer signs or fraud detection.

There is no doubt that 2019 will be proven to add years of in-depth research so that you can take advantage of the power of the latest artificial intelligence applications to implement real-time change solutions.

8. Facial Recognition: Innovation

The face is the unique identity of the individual. It plays an important role in communicating with others in society. With these facts in mind, facial recognition is built in the real world and demonstrates the benefits of future trends in artificial intelligence.

Face recognition is defined as a technique that helps identify people using their digital image or facial feature patterns. 2019 is witnessing the accuracy and reliability of this application.

You must be familiar with FacebookDeepfacePrograms that make it easier to tag your friends and family in your photos.

Nonetheless, everything about personalization is flourishing-from updating the wardrobe to marketing, this technology is consolidating the footprint of every biometric sign.

9. biased data

As machine learning models are used for decision making, such as socially beneficial norms, mortgages, recruitment, etc., this biased data trend in artificial intelligence topics is becoming more and more urgent.

For a better understanding, consider a fictional case for women's decision making. Traditional employment data shows that women are promoted less than men, resulting in discriminatory artificial intelligence-based applications.

Therefore, as more and more artificial intelligence applications are used, learning how to handle biased data will gradually increase. This pain lies in the fact that companies must consider proactive measures to accept non-discriminatory data.

Some ways to prevent this approach are to check for potential risks, positive inclusion from diversified inputs, and a perfect balance between speed and performance.

10. Privacy and Policy

The introduction of GDPR is the topic of the town in 2018. Moreover, 2019 has encountered privacy and policy dialogue issues in the latest developments in artificial intelligence. This is to protect privacy and ensure that organizations take data privacy issues seriously.

Many people may not know how to use your digital information. Sometimes it will be lost in the print, sometimes not even knowing its usage. Facebook's latest crisis on privacy issues is the tip of the iceberg.

The laws of artificial intelligence are still new and need further understanding. However, countries around the world are also continuing to work on strategies and initiatives to develop artificial intelligence regulation.

Final Thoughts

人工智能OftrendIs shaping today and tomorrow. This technology benefits modern society and presents a better world that not only provides a glimpse of the current curtain, but also provides an important and clear picture of a world of improvement and happiness.

So if you want to hire for your next artificial intelligence projectThe best artificial intelligence application developerYou should rely on companies that outsource highly skilled and qualified experts who understand the value of your dreams and herald the better technology.

This article is from hackernoon,Original address

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