Have
you ever heard of cars without a driver? Have you used Alexa or Siri or any
other similar smart personal assistant service? Most likely, the answer is yes.
All
of us have used, heard, seen or experienced the impact of the devices that are
developed through the use of Artificial Intelligence Services. This
applied science is growing beyond exaggeration and is infiltrating our daily
lives.
Due
to a large number of applications and a futuristic reach, companies are rapidly
investing to acquire and exploit this field of applied science. The technical
directors of organizations and their teams of AI developers are constantly looking for
ways to develop and implement this advanced technology to get the most value
from it. The developers are trying to build AI models that appropriately
replace direct human work. This is expected to solve problems related to
deficiencies in human efforts such as inefficiency, inaccuracy, etc.
Through
this experience, companies emphasize the manufacture of devices and machines
that can perform tasks and respond to conditions like humans. Some of the
general and most popular activities you can expect from AI technology tools
include voice recognition, learning capabilities, planning actions and
problem-solving.
Latest
trends in Artificial Intelligence technologies in 2019:
Latest
Trends of Artificial Intelligence Technologies in 2019
Digital
Twin / AI modeling
Digital
twins are also known as large scale models. These are virtual models of things,
objects, tools, buildings or devices that organizations can use to run
simulations before building and implementing real products. In general, applied
data scientists and mathematicians with in-depth knowledge of the product at
hand and machine learning are used to create a digital twin using AI modeling.
Designing
new components in the automotive and aviation industry is a tedious, slow and
expensive process. However, with the help of artificial intelligence engineers,
engineers can create and generate millions of new and innovative designs and
configurations in comparatively much less time and cost. Companies are using
this machinery to save money, maintenance costs, reduce product defects and
production time to reach the market. Multinational companies such as General
Motors and Airbus are known for using artificial intelligence technology to
design new components.
Facial
recognition
Previously,
fingerprints/handprints were the only way to identify each unique individual
and were used to provide reliable security. Now facial recognition has become a
massively utilized mechanism and used for security purposes.
The
science of facial recognition is becoming popular due to numerous applications
in real-world scenarios. This artificial intelligence technology explores an
image and immediately compare the different geometric physiognomies of a
person's facial features with the entire database through a one-to-many search.
The device uses data such as the structure of the nose, the distance between
the eyes and the shape of the lips.
AI-Enabled
Chips DevOps through AIOps
AI-enabled
applications are too fast to be handled by normal or advanced CPUs. This year,
scientists and engineers expect new developments in the field of AI-enabled
chips based on field-programmable door matrices (FPGA). The Qualcomm A12 chip
is one of the examples of the latest impact of AI-driven technology.
Chip
manufacturing companies will work to develop specialized chips for different
capacities of artificial intelligence technologies such as natural language
processing and voice recognition. Major technology brands such as Amazon,
Google and Facebook are expected to invest more resources in the field of
AI-enabled custom chips. These chips are expected to handle high-performance
computing, predictive analysis and accelerate the processing of queries with
next-generation databases.
Biometrics
Biometrics
is an Artificial Intelligence application, which is used for security purposes.
This can be categorized into two parts: physical and behavioral. Typical and
measurable characteristics of human body parts such as nose shape, ear size,
iris, fingerprint, and DNA are measured and analyzed in physical biometrics.
This data is transformed into the code used by the AI system for further
processing.
Behavior
characteristics such as walking speed, typing rhythm, how to interact with the device, etc. are stored in the database and, then used during authentication.
Face recognition, sound, and iris are some of the physical biometric
applications. Behavioral biometrics is used primarily for market research,
prediction, and analysis.
Conclusion
To
conclude, with the help of Artificial Intelligence, many of our daily personal
and business activities can be carried out efficiently by programmed machines.
According to the latest Artificial Intelligence trends, the level of Artificial
Intelligence technology differs from one geographical region to another.
However, with several applications, utilities, and benefits, it is clear that
the popularity of Artificial Intelligence technology is increasing
exponentially. The prospects for AI use in the future are very large. This has
been demonstrated in the current use of AI in the medical, banking, gaming, and
transportation, manufacturing and defense sectors.
We
at Fusion Informatics have
worked on Artificial Intelligence projects for this upcoming technology and
help our clients to better data processing and add new features that are
updated on their mobile applications that are useful for their end-users.
Fusion Informatics is one of the best Mobile
Apps Development Company in Bangalore. The Company provides Mobile applications, Android
application and ios
app development companies Bangalore and helps Business owners to reach more
customers who want to change their business towards application development, Artificial
Intelligence Mobile
Apps Development Company in India, and Chatbot
Development Company, The Company has a very good working environment. To know
more about my company, Visit Fusion Informatics
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