Artificial Intelligence v/s Machine Learning
Artificial Intelligence / Machine Learning
Artificial Intelligence: Artificial Intelligence (or AI) can be defined as the branch of computer science that can simulate human intelligence. AI is implemented in machines to perform tasks that require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Thus, the name of the technology is artificial intelligence. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
Machine Learning: Machine learning (or ML) can be defined as the branch of computer science which focuses on the use of data and algorithms to imitate the way that humans learn, along with improving its accuracy. It is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to learn the information directly from data without relying on a predetermined equation.
Uses
1. Artificial
Intelligence finds its uses in the Education sector. Digitization of content
like video lectures, conferences, and text book guides can be made using
Artificial Intelligence. We can apply different interfaces like animations and
learning content through customization for students from different grades.
2. Using
the AI technology, techniques can be developed to monitor students’ data
thoroughly. Along with that their lesson plans, reminders, study guides, flash
notes, frequency or revision can be easily generated.
3. Facial
recognition is one of the prime sectors that uses AI. Devices like cell phones,
laptops, and PCs use facial recognition techniques by using face filters to
detect and identify in order to provide secure access. Apart from personal
usage, facial recognition is a widely used Artificial Intelligence application
even in high security-related areas in several industries.
4. Machine
learning can offer you a virtual personal assistant. You can have information
that you need anytime you want. Siri, Alexa, and Google Now are some of the popular
examples of virtual personal assistants. As the name suggests, they assist in
finding information, when asked over voice.
5. ML
also finds its utility in the social media field. From personalizing your news
feed to better ads targeting, social media platforms are utilizing machine
learning for their own and user benefits.
6. Malware and spam filtering is also accomplished by ML. There are a number of spam filtering approaches that email clients use. To ascertain that these spam filters are continuously updated, they are powered by machine learning.
Advantages
of AI and ML
1. One
of the major advantages of artificial intelligence is that it decreases human
error, as well as risk to humans. Making mistakes is in
the nature of the human beings. However, using AI to complete tasks,
particularly repetitive ones, can prevent human errors from tainting an
otherwise perfectly useful product or service.
2. AI
programs are available at all times, whereas humans work fixed periods of
time, in most cases.
3. One
of the major advantages of AI will be its unbiased decision-making. Humans allow
their biases to impact their decisions all the time. All humans have biases, and
even if we try and resolve them, yet their influence can be seen on different
occasions. On the other hand, provided the AI algorithm has been trained using
unbiased datasets and tested for programming bias, the program will be able to
make decisions without the influence of bias.
4. One
of the major advantages of ML is that its accuracy can be increased with time. As
more and more data is fed to the system, the output improves consistently. With
time and learning, the machine can produce more accurate results without the
need for new codes and algorithms.
5. It
can enhance the security segment of the industrial sector. Most industries are
vulnerable to various man-made disasters, which can be avoided using the
science of machine learning. Moreover, once the system has gained enough
experience using recorded data, it can mitigate the risks of errors which
becomes the reason for various mechanical and human failures.
6. It can be helpful in sorting large chunks of data. Whether it's finding the best deals or searching relevant user-based results, computer programs can do the work a lot faster than humans.
Disadvantages
of AI and ML
1. One
of the major disadvantages of is that it is extremely expensive. Depending on
what exactly one needs AI to do, the cost changes and it still remains
unaffordable to the larger portion of the society.
2. Another
big disadvantage of AI is that it lacks the human ability to use emotions and
creativity in decision-making. The lack of creativity means AI can’t create new
solutions to problems or excel in any overly artistic field.
3. It’s
knowledge and skills will degrade with time and may become unusable if not
updated properly with time. AI itself can become outdated if not trained to
learn and regularly evaluated by human data scientists.
4. One
of the prime drawbacks of machine learning is that it requires a lot of data to
process and learn from it. Initially, a huge amount of time is invested in
making machine programs, and the requirement of data is also very huge.
Therefore, long codes and programs are needed to make the machine learn initial
responses and essential functions.
5. It
is still in its development stage and prone to many errors. The results might
be satisfactory, but a completely automated system requires a lot of research
and analysis. Scientists and programmers are continuously trying to figure out
more advanced techniques for improving machine outputs.
6. In machine learning, it is nearly impossible to identify multiple choices. As the machine is only made to identify certain choices, specify the options based on human behaviour or vary widely. The machine is made to choose mostly the correct decisions, but there could be situations where a machine cannot make optimal decisions.
Career
in Artificial Intelligence and Machine learning
Artificial intelligence and machine learning have become an integral part of the industries from almost every sector. Its algorithms and emerging innovations help the business to excel by unfolding the possibilities. Industries that utilize artificial intelligence like healthcare, robotics, telecommunication, and education to mention a few hire researchers and professionals that can apply machine learning, computer vision, and data analysis to the existing data to work out the overall growth. AI has several opportunities in terms of employment however it lacks the professionals who are skilled enough to utilize it. It is a rewarding field that seeks never-ending learning procedures. In a broader sense, choosing Artificial intelligence as a career choice is a win-win situation. AI jobs are niche in learning and earning too. Becoming an AI engineer is an ala-carte menu. One can customize the skill set according to the job role and personal capabilities. AI opens up various possibilities for an aspirant to build their careers, but some of the major work roles to choose from are data scientist, machine learning engineer, research scientist, and computer vision engineer. It also generates employment in other sectors including education, agriculture, manufacturing, marketing, and finance to mention a few.
Future
of Artificial Intelligence and Machine learning
Artificial intelligence
and machine are growing trends across many sectors and domains. More and more
businesses are trying to build artificial intelligence into their products to stand
out in the marketplace. Artificial Intelligence helps them make their products
stand out and helps them streamline many processes critical to the design,
development, and production of the product.
AI enables a great
ability to analyze enormous data sets and computationally discover complex
relationships and patterns. AI, augmenting human intelligence, is primed to
transform the scientific research process, unleashing a new golden age of scientific
discovery in the coming years. Next-generation consumer experiences like the
metaverse and cryptocurrencies have garnered much buzz. These experiences and
others like them will be critically enabled by AI in near future.
Personalized medicine
has been an aspiration since the decoding of the human genome. But tragically
it remains an aspiration. One compelling emerging application of AI and ML
involves synthesizing individualized therapies for patients. Moreover, AI and
ML has the potential to one day synthesize and predict personalized treatment
modalities in near real-time, no clinical trials required. AI and ML will transform the way of life of
the mankind in near future. With each advancement, some notable contributions
will be made to almost all the sectors like healthcare, education, media, and architecture to mention a few. A better lifestyle in the future may also become a
byproduct of AI and ML.
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