1. January #2022 : NVIDIA
launched GeForce RTX 3050, a product that brings next-generation
graphics and AI to games. The RTX line-up uses ray tracing technology
for real-time, cinematic quality rendering. The product also features
deep learning super sampling and boosts frame rate.
2. December #2021
: IBM launched IBM Z and Cloud Modernization Center a digital platform
with a wide range of tools and resources, as well as ecosystem partners,
which will help users accelerate the modernization of data, processes,
and applications in an open hybrid cloud architecture.
In the semiconductor & electronics industry, AI is used for production planning, quality control, and material movement. Implementing AI-based solutions is expected to benefit manufacturers in optimizing the production cost, technology implementation, and integration of components. This data helps in planning and maintaining the production process efficiently. Thus, AI solutions help the companies operating in the semiconductor & electronics equipment industry to analyze the data collected at all points to aid improved decision-making for the manufacturing process and register the highest growth potential.
Software segment to hold largest share of AI in manufacturing market during the forecast period
Software itself can run specific applications without using any additional hardware. The AI-related additional hardware is needed in the case of faster calculations in manufacturing, e.g., in predictive analysis and machine inspection, quality control, and fieldwork. Rising demand for software, especially in predictive maintenance and quality control applications, and widening application scope of AI in the manufacturing sector are the prime factors fueling the growth of the market for AI platforms.
Rising adoption of AI-based quality control systems to drive market growth
AI-based
quality control applications enable plant operators to quickly detect
property variations during the production time. These AI-based
applications of quality control rely on 3- and 2-dimensional data, which
is collected by a laser-based aggregate scanning system that converts
data into digital images. These wavelet-based features are used as
inputs to an artificial neural network, which is used to assign a
predefined class to the sample. This quality control helps a plant
operator to verify the quality of products.
Presence of world-leading manufacturing companies boosts AI in manufacturing market growth in Japan
Japan
has launched an initiative—Industrial Value Chain Initiative—to explore
advanced technologies. Mitsubishi Electric, Fujitsu, Nissan Motor, and
Panasonic are among the top companies that cater to major businesses in
the electric, IT, machinery, and automobile fields. Connected machines
and transport robots are being used on the shop floor of companies such
as Toyota for a long time. Moreover, the ministries have been promoting
IT projects in the country. Japan is strong in information and
communication technology, manufacturing processes, automotive and
machinery industries, automatization and robot technologies and
electronic parts.
Major Growth Boosting Factors:
Japan-based companies Fujitsu (Japan) and Hitachi (Japan) are renowned providers of big data and cybersecurity solutions to diverse sectors, ranging from agriculture to manufacturing and services. This has resulted in the adoption of AI in manufacturing industries in Japan. Japan established a phased development plan for AI to develop and apply data-powered AI in various fields; to build an AI ecosystem by connecting different fields.
Related Article : https://yourstory.com/mystory/future-artificial-intelligence-manufacturing-industries/amp
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