1. Deep
learning (DL)
DL is already
on the cusp of revolution. They are widely adopted in data-centers and DL is
being explored at the edge of the network to reduce the amount of data
propagated back to data-centers. Applications such as image, video, and audio
apperception are already being deployed for a variety of verticals. DL heavily
depends on expeditors and is utilized for a variety of assistive functions.
2. Industrial
IoT
Empowered by DL
at the edge, industrial IoT perpetuates to be the most widely adopted use case
for edge computing. It is driven by authentic needs and requisites.
3. Robotics
Even though
robotics research has been performed for many decades, robotics adoption has
not flourished. However, the past few years have visually perceived incremented
market availability of consumer robots, as well as more sophisticated military
and industrial robots. Robotics will additionally incentivize further evolution
of ethics.
4. Assisted
conveyance
While the
promise of plenarily autonomous conveyances has decelerated due to numerous
obstacles, a circumscribed utilization of automated assistance has perpetuated
to grow, such as parking assistance, video apperception, and alerts for leaving
the lane or identifying sudden obstacles.
5. Assisted
authenticity and virtual authenticity (AR/VR)
Gaming and
AR/VR contrivances have grown in adoption in the past year. This trend will
grow with modern utilizer interfaces such as 3D projections and kineticism
detection. This will sanction for associating individuals with metadata that can
be viewed subject to privacy configurations, which will perpetuate to drive
international policies for cyber security and privacy.
6. Ethics,
laws, and policies for privacy, security, and liability
With the
incrementing advancement of DL, robotics, technological assistance, and
applications of AI, the technology has moved beyond society's competency to
control it facilely. Compulsory guidance has already been deeply analyzed and
rolled out in sundry aspects of design and it is further being applied to
autonomous and keenly intellective systems and in cyber security. But adoption
of ethical considerations will expedite in many vertical industries and
horizontal technologies.
7. Accelerators
and 3D
With the
cessation of puissance scaling and Moore's law and the shift to 3D, expeditors
are emerging as a way to perpetuate amending hardware performance and energy
efficiency and to reduce costs. There are a number of subsisting technologies
(FPGAs and ASICs) and incipient ones (such as DPE) that hold a plethora of
promise for expediting application domains (such as matrix multiplication for
the utilization of DL algorithms). Due to its wider diversity and broader
applicability of expeditors, it will be having more widespread use in 2018.
8. Cyber
security and AI
Cyber security
is becoming essential to everyday life and business, yet it is increasingly
obstinate. Exploits have become prodigiously sophisticated and it is hard for
IT to keep up. Pristine automation no longer suffices and AI is required to
enhance data analytics and automated scripts. But AI itself is not immune to cyber
attacks. Advanced requirements will be explored to make AI/DL techniques more
robust in the presence of adversarial traffic in any application area.
SOURCE IEEE
Computer Society
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