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Top AI Stocks You Need to Lookout for in 2021

Artificial Intelligence (AI) has been one of the most talked about topics for the last few years. It has been the cause of many debates among experts, technologists and researchers but for the layman it is somewhat difficult to comprehend the term. But, the fact is that AI has been the major focus of many tech companies for the past few years and it has revolutionized several industries. 

Artificial intelligence is an area of study that is deeply rooted in the principles and theories of basic science. Advanced AI research would provide us with numerous possible solutions to some of the world’s most important problems. Artificial intelligence is about creating robots as intelligent as humans and giving them the ability to learn and adapt to the world around them.

The obstacles to widespread AI adoption are technical and social, but could be addressed at some point in the future. Several of the most-promising AI companies do contain artificial intelligence, not just algorithms. 

Companies with a business model based on AI – such as Amazon.com, Alphabet Inc., and Microsoft Corp investing heavily in it. These companies that have come out of stealth mode and are pursuing AI to drive a competitive advantage.

Below is our ranking of the top three AI Stocks to consider in 2021.

1. NVIDIA (NASDAQ:NVDA)

2. IBM (NYSE:IBM)

3. Micron Technology (NASDAQ:MU)

4. Amazon (NASDAQ:AMZN)

1. NVIDIA 

NVIDIA Corporation is primarily engaged in developing visual computing devices and related advanced display technology, and is one of the world’s largest makers of graphics processing units and related items.

NVIDIA operates in five business units: (1) GeForce, (2) GeForce GPU Cloud, (3) Tegra, (4) Autonomous Vision, and (5) General purpose computing.

NVIDIA’s GPU Cloud is a cloud gaming and software as a service platform which provides hosted server rendering, game streaming/video encoding, multi-player game patches, virtual luring (gamelisha) platform, and micro-payments.

Tegra is an automotive and portable computing platform.

Autonomous Vision is a technology which lies under the “NVIDIA DRIVE” platform, which is an autonomous vehicle system platform.

General purpose computing is the Intel-NVIDIA partnership to create hardware based on Supercomputing architecture.

2. IBM

International Business Machines Corporation (NYSE:IBM), commonly known as IBM, is an American multinational technology company headquartered in Armonk, New York, United States.

IBM is known for its mainframe computers, first introduced in 1958. In addition, IBM has a major in-house global R&D operation and several other notable research facilities around the world. IBM is also one of the 50 largest companies in the world as ranked by revenue.

3. Micron Technology

Micron Technology, Inc. is a world leader in innovative memory semiconductors. It is a manufacturer of dynamic random access memory (DRAM), charge-coupled devices (CCDs), augmented reality (AR) glasses, and solid state drives (SSDs).

Micron Technology is headquartered in Boise, Idaho and has a R&D center in San Jose, California. The Company’s worldwide headquarters are located at 1265 N. First St., Boise, ID 83706 and its common stock trades on the New York Stock Exchange under the symbol MU.

4. Amazon

Amazon.com, Inc. is an American electronic commerce and cloud computing company based in Seattle, Washington, that was founded by Jeff Bezos on July 5, 1994. The tech giant is considered the largest internet-services provider in the world as well as the fourth most valuable company in the world. In 2017, Amazon surpassed Walmart as the largest U.S. grocery retailer. The company also owns Amazon Web Services, introduced in 2006.

On What Basis these 3 are the Top AI Stocks 

To identify the top AI stocks, we employed five strategies.

Companies that pursue AI must take into consideration three related factors before investing in AI. First, to create truly intelligent software the hardware technology must be up to the task. Second, the software must be able to learn and evolve in real time, be able to interact with humans, perform in crowded environments, and improve continually. Third, they must develop working AI at an affordable price. The industry is far from reaching this point.

A few stock brokers and analysts have reached conclusions on which AI startups and stocks they think will rise and fall in value, but for the most part, the value of AI technology is outside of the public’s understanding. To attempt to explain the technology and the possibility to develop it into something practical, we reached out to a range of experts. Aleksander Kogan, PhD, a professor of computer science at University of Toronto, said, “Rational, intelligent machines are viable, and they are going to be used to augment specific human activities such as healthcare and education. Developing machine intelligence is one the greatest challenges of AI.

The market’s sensitivity to AI — and the size of the market — is a relative concept based on what, how quickly, and at what cost AI can perform the work once it overcame the technical challenges. It’s hard to estimate a time frame when the technology will mature, because its development is made up of many technologies, robotics, machine learning, and computer vision all built into one system. So, we based our predictions on convincing has been accomplished so far, and the potential and time it will take to develop.

The first step is winning over the public

The real goal for AI at this point should be to convince computer scientists, software developers, and developers in the business sector that the vision of intelligent software is achievable. AI is about the advancement of technology, and each new technology that achieves the same capabilities of the previous one was a significant leap in computer science. Economists will be interested in the AI technology because their field is based on the concept of scarcity.

The resources needed to achieve this technology are out there. For many potential benefits, the potential profitability is more complicated, but the use of AI in medicine to improve treatment and the possibilities of intelligent materials are here to stay.

Beware of low-priced stocks with questionable AI future

For existing technologies, an interesting field is that of hardware chips: Intel Corp. was the first company to invent a set of computer chips that have become broadly used. For AI chips, they have been able to create a task-oriented chip that outperforms human abilities in the recognition of objects.

However, with the widespread adoption of smart wireless devices, this chip has become niche. Even Amazon has decided to make a chip for its data centers; it primarily uses this chip to operate and organize the data centers and it is not used actively by its customers. This is a major boost and will promote the emergence of new companies that can manufacture hardware for the smart web. Verizon, AT&T and others are trying to get a blockchain-based chip for their data centers.

Photinguits, a startup based in Europe that also operates in America, is working on the use of Deep Learning to reduce the amount of computing that is required, such that the smart phone pays less for the data used by the computer. Tesla Inc. is working on similar projects using an AI chip to accelerate control over the car. This extreme will have a great effect on employment.

The biggest obstacle to AI adoption is not creativity; it’s the necessary development of the necessary skills.

The second step is lowering the barriers to enter the market

With the invention of Artificial Intelligence, the invention of operating systems, and the advancement of new technologies, the concept of widespread adoption is likely to occur, but the chances of it happening all at once are rather high. Whether or not this will happen is estimated by the beginnings of major companies that are using AI to drive their business investment in this field.

Amazon has introduced Amazon’s Alexa and Alexa Skills. Alexa Skills is Amazon’s program to create skills that can be downloaded on the machine and provide the machine with additional features. Alexa has popularized the use of voice systems on computers and homes, and it assured Amazon’s strong position in the market. This has created its own development, which enables it to create voice-controlled video doorbells after the Alexa handles voice commands to open a door. Google Inc. released Neural network research code. This work is promising; the Blockchain technology associated with the project has already shown to have significant involvement in the development of AI hardware companies. Intel acquired Nervana Systems Inc, a hardware company based on Artificial Intelligence, and has used its technology to create the Intel Movidius Arria, a chip that has a wide range of both performance and data acquisition capabilities.

Good data is a crucial element when it comes to AI creation

The third step in achieving AI is helping enterprises to get better results

The third step is to help business customers to get better results. With the applications of AI in the financial, industry, and other sections, it’s not simply about the creativity and efficiency of a machine, but also about the usefulness to the user and the company. Intelligent machines and intelligent software that can rapidly keep up to the habits of their human creators are efficient and also ethical. But the advancement of artificial intelligence touches on such industries as financial, healthcare provision, and the Internet of Things devices.

BlackRock, the American asset manager catering to the financial sector, has already demonstrated its interest in using AI in its portfolio management process. The company has created an algorithm that analyzes a fund’s performance and side effects by analyzing data for a long period of time and compares them with the average every three years. It uses a neural network to handle both the data itself and the algorithms for scaling variables.

American Express is using AI in its acceptance and distribution of credit cards to its customers, as well as in the transfer of funds and the management of reward programs. The Alipay project is an automaton of the Chinese e-commerce company that uses AI technology to receive, store, process and transfer funds for use on the website. This project has been expanded to the Lion King sponsorship, which can also include the use of facial recognition technology for the use of facial recognition technology for the use of its AI software.

Menlo Media, based in the San Francisco Bay Area, is using AI to keep up to track its users. It uses AI in the creation of this platform’s user base, and it uses AI in order to improve its service to its customers and customers of its other social platforms. This project was funded by the NEA and the Wyncote David S. Rose Foundation.

The fourth step is to make the world a safer place

This is a touchy topic and it is hard to determine a direction. The potential of AI lies in the potential of humans to accelerate the development of artificial intelligence. In some areas, the direction is clear, but in others, it’s a difficult question

Artificial Intelligence is used to control the robots that will soon take up various tasks in the industries linked to consumer products such as retail, healthcare, and transport.

In the medical sector, AI is used in the creation of patient notes and digital records that can also be accessed by the patient, but it is a closely guarded industry that is not open to the public.

One of the earlier uses of AI in cargo transportation is the shipping of goods in ships equipped with AI. The driver has the ability to control the ship, and the platform has a detailed radar and laser.

Some areas of the robotics industry are also being developed with AI. Various kinds of robotic products for irrigation, automation and installation in construction have been created by the Panasonic and Hitachi, as well as by the conveyor company.

AI has also been used to develop safety drivers by conventional car manufacturing companies, and this has also been reported by Silicon Valley startups such as Waymo of Google.

The involvement in the area of healthcare and the creation of AI is consistent. The latest hospital-based project, Watson, opened before the American Medical Association.

The fifth step is improved energy yield and the new manufacturing and production technologies they create

The fifth step is the transformation of energy. The development of Artificial Intelligence and Robotics advances the development of new energies, such as wind and solar.

The other energy sources will continue to become more interesting and more developed. In addition to the wind energy, solar power will continue to be more and more used. With the use of AI technologies, solar energy can now work on different platforms depending on the use of the building. Wind energy can also be used to light cities at night.

As for fossil fuel energy, it will still have its use, but the use of clean energy will increase.

In the technique of robotic production, the information system is also an important addition to artificial intelligence. Energy can be used to boost the factory and improve efficiency, as well as to orientate the worker.

With this new technology, artificial intelligence is focused on the development of chips that improve energy yield and also support robotics and automatic production on the factory floor.

Is AI the Future of Technology?

The evolution of technology brings us to the developments of Artificial Intelligence that will take us deep into the future. AI is one of those technologies that is looking like it might be the future of technology.

One thing that can be said about AI is that it really excites people, and it is difficult to really understand why this is. In the past, we have seen dramatic and fast technological changes come and go, with some really great leap forward that excited people but then disappeared. The introduction of the transistor to the world was another of these, along with the introduction of the VCR. The introduction of the transistor was a big deal for the continued development of computers, as well as the creation of a TV that could be connected to a computer.

The Color TV was another big leap forward; this led to more programs being made, more entertainment being brought to the masses at a lower cost. It also led to computers being upgraded as well as televisions.

There are a few things that are negative with the life of AI and a few that are very positive, as this particular article by TED looks at. The dark side of AI is that it has many people worried that we are moving too quickly and that we are not carefully thinking about how we are using AI.

The positive aspects of AI are that it can open up a world of new possibilities for businesses and consumers to be able to use relatively small sources of power. It can also lead us to a situation where we have needed in the past, such as when we need to talk to someone in another part of the world but we need to talk in person. It can also allow us to be able to be connected to all the people in our world, and this is a great opportunity for humans to communicate.

It will obviously lead to social events being easier and very pleasant to attend. It can also enable businesses to be able to provide better and more accurate services to their customers.

The possibilities are endless, and the everyday use of AI will lead to more rapid development of AI. Within the next decade, AI will arrive at some of the final steps, and this is where it will truly become useful to the average person.

With the use of AI for things like security, medical science, and language translation, we are still far from the point where we can see AI as an everyday tool.

We will have to be patient in the use of AI, but it is something that is inevitable and something that will be a big deal.

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