Here you will see about Advanced technology of computers. The Latest technology of computers. Like 5G Network, AR and VR, Non-Volatile Memory and Data Science

2.  5G Network
 Augmented Reality& VirtualReality
Non-VolatileMemory
 Data Science

3. 5th generation mobile networks or 5th generation wireless systems,
abbreviated 5G, are the proposed next telecommunications standards
beyond the current 4G/IMT-Advanced standards.
5G planning aims at higher capacity than current 4G, allowing a higher
density of mobile broadband users, and supporting device-to-device,
more reliable, and massive machine communications. 5G research and
development also aims at lower latency than 4G equipment and lower
battery consumption, for better implementation of the Internet of
things. There is currently no standard for 5G deployments.

4. 5G Logo

5. Augmented reality (AR) is a live direct or indirect view of a physical,
real-world environment whose elements are "augmented" by computer-
generated or extracted real-world sensory input such
as sound, video, graphics, hap tics or GPS data.
Virtual reality (VR) is a computer technology that uses virtual reality
headsets or multi-projected environments, sometimes in combination with
physical environments or props, to generate realistic images, sounds and
other sensations that simulate a user's physical presence in a virtual or
imaginary environment.
Augmented Reality and Virtual
Reality

7. Non-volatile memory
Non-volatile memory, nonvolatile memory, NVM or non-volatile
storage is a type of computer memory that can retrieve stored
information even after having been power cycled (turned off and
back on). The opposite of non-volatile memory is volatile memory
which needs constant power in order to prevent data from being
erased. Examples of non-volatile memory include read-only
memory, flash punch memory, ferroelectric RAM, most types of
magnetic computer storage devices (e.g. hard disk drives, solid
state drives, floppy disks, and magnetic tape), optical discs, and
early computer storage methods such as paper tape and punched
cards.

8. Data science, also known as data-driven science, is an
interdisciplinary field about scientific methods, processes, and
systems to extract knowledge or insights from data in various forms,
either structured or unstructured, similar to data mining.
Data science is a "concept to unify statistics, data analysis and their
related methods" in order to "understand and analyze actual
phenomena" with data. It employs techniques and theories drawn
from many fields within the broad areas
of mathematics, statistics, information science, and computer
science, in particular from the subdomains of machine
learning, classification, cluster analysis, data mining, databases,
and visualization.