AI made a lot of improvement was in 2018. If it wasn’t
something new coming from Amazon’s Echo line or Google’s Google Home series,
both of which employ AI to enable Alexa and Google Assistant to do everything
they can, it was something related to autonomous cars, enterprise tools and
artificial intelligence applications, or robots that are more lifelike than
anything that’s come before them.
In other words, artificial intelligence was a hot topic in 2018,
a statement that is true regardless of industry or social circle. After all, we
already touched on the consumer electronics industry with our mention of smart
speakers, the automotive industry with autonomous cars, a wide breadth of
industries with enterprise tools, and the robotics industry with, well, robots.
When we put all of this together, we arrive at the conclusion that artificial
intelligence is changing lives daily and disrupting industries left and right. For Artificial Intelligence company in India, Bangalore
Whether you think this is a boon for societies that will
allow us to reach new heights or a detriment that will ultimately prove to be
our downfall, you will most likely agree that the more you know about it, the
better. To make sure that you know as much as you can our discussion for today will
revolve around five artificial intelligence trends you can expect to see in
2019.
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AI Company |
5 Artificial Intelligence Technology trends in 2019.
1. Improvements to Facial Recognition
Facial recognition is one of the most widely known
artificial intelligence applications that’s taken the world by storm. As its
name lends, it’s a technology used to identify people (their faces) using
digital patterns taken from their facial features. Today, facial recognition is
employed for a variety of uses like automatic tagging on Facebook, unlocking
smartphones and computers, aiding in forensic investigations, and so on.
As we move through 2019, expect improvements to facial
recognition technology that leads to higher accuracy and reliability. When this
happens, also expect other uses for this AI technology to pop up and improve,
such as using it to prevent retail crime, make advertising much more targeted,
protect schools and other places from threats, and so much more.
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2. Less Biased Data
Seeing as how we just covered facial recognition, it’s
appropriate that the next AI technology of 2019 we’ll cover deals with biased
data. In facial recognition, this comes in the form of AI systems having
trouble identifying women and darker-skinned individuals because the vast
majority of their training has been geared toward identifying white males. In
other areas, biased data has been appearing more often as machine learning
models are increasingly used for decision-making processes related to hiring
potential employees, lending mortgage loans, releasing prisoners from parole,
and so on.
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3. Integration of AI into New Technologies
It seems as if artificial intelligence is integrated into
more and more technologies every year, and 2019 will be no different. For
instance, one of the most anticipated advancements that are still on-going has
been the convergence of AI and the Internet of Things (IoT). With machine
learning behind them, IoT platforms will be able to gain real-time insights and
detect patterns and anomalies about the information their sensors gather and
generate. Now take this thought and extend it to varying technologies like
blockchain, biometrics and quantum computing—the results are truly
mind-boggling.
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4. Advancements in Reinforcement Learning
Unlike supervised learning that uses labeled databases of
input and output pairs or unsupervised learning that finds connections between
unlabelled data, reinforcement learning relies more on sequential decisions. In
this way, it’s more “real” than the other learning methods because it’s more
closely aligned to how we as humans learn. That is to say, instead of using
data recognition, it uses experience and how to use it to move toward a goal.
For example, how a game of chess is played.
Today, reinforcement learning is used in areas like gaming
and robotics, but it’s not as prevalent as many would like for it to be. As
more industries experiment with it in 2019, expect a lot more advancements
coming our way.
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5. Interconnecting Neural Networks
To put it simply, (artificial) neural networks are computer
systems modeled after the human brain and nervous system. They aim to emulate
how our brain works, such as how we learn from examples. With computer systems,
this translates to them learning without being programmed with any
task-specific rules. Unfortunately, though demand for neural networks is high
everywhere it can be used; most find it a challenge to choose the best
framework to develop their models. Making this problem worse is the current
incompatibility between competing for neural toolkits that makes integration
impossible. Thankfully, with tech giants like Microsoft and Facebook working
together to develop an Open Neural Network Exchange, other tech companies will
soon follow suit and work on interconnecting neural networks themselves.
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Let’s Take a Second Look at the Latest Trends of AI
As we just saw, 2019 has a lot in store for us, and a lot of
it is thanks to artificial intelligence. From improvements in facial
recognition technology to growth in reinforcement learning, here’s what you can
expect from AI as we move toward 2020:
1. Improvements to Facial Recognition
2. Less Biased Data
3. Integration of AI into New Technologies
4. Advancements in Reinforcement Learning
5. Interconnecting Neural Networks
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Fusion Informatics is a Leading Artificial
Intelligence Development Company, and offering Machine Learning,
Blockchain Development, Data Science, Bots, Cognitive Services, IOT, and MobileApp Development. We have developed Various Solutions outsourcing company with a
focus on implementing high-level technology solutions & services. The
company having global services in India, UAE, Europe, and the USA.
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