Smart Artificial Intelligence (AI) Chips
With the availability of enormous amount of data and vast scalability of cloud-based compute power, artificial intelligence has become a huge trend across industries in these past few years. In today’s digital world, information is the key for enterprises to be successful and to maintain sustainable growth. Most industries especially service sector rely deeply on analytics to provide them with useful business insights and enable them to remain competitive in the market. Enterprises have been continuously automating their business processes that were earlier conducted either programmatically or manually. With advancements in AI chips and introduction of application-specific custom chips, enterprises now have the capability to collect real-time analytics and to transform their data into actionable insights. There are numerous use cases available in the market of AI being successfully implemented across industry verticals.
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The major companies profiled in the report include Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic
What is AI?
The term, artificial intelligence (AI), came into existence owing to the need for performing various statistics and logic in real time. AI is the simulation of human intelligence processes by machines, especially computer systems. It is used for various purposes, including identification, calculation, control, design, surveillance, and diagnosis.
Why do we need smart AI chips?
AI chips help in making more intelligent decisions about some critical issue in absence of humans. These AI chips usually involve machine learning and deep learning algorithms to perform computations. The chip is designed with high parallel calculations to commercial hardware, mainly graphics processing units (GPUs). The AI chips accept input in the form of machine language (ML) and process this input with cloud data. The resultant data is stored on devices. AI chips are as smart as computers, robots, or software that work the same as humans think and use their logical and computational methods intelligently.
Most of the chip makers have been focusing on developing new solutions for smart AI chips and investing to have their impact in the competitive market. This gained the interest of small-scale companies and startups for development of smart AI chips.
How a smart AI chip works?
AI has natural language processing, which makes it capable of interpreting what you speak or type. Much of the processing in an AI chip involves matrix multiplication and addition. Large numbers of GPUs working in parallel offer an inexpensive approach, but the penalty is the higher power. When a question is asked, AI uses algorithms and machine learning to search through the huge database and delivers the best answer in a matter of seconds.
Consider the following figure that shows the working of smart AI chips. A person asks a question to the smart AI chip, which processes that question as input data to perform the task. The smart AI chip then uses its intelligence by performing natural language processing to convert the human language to machine language. It, then, performs certain calculations and uses logic, methods, or cloud data to get the required answer. The obtained result is then converted back to human-understandable language. This process is done within an eye blink, and hence, they are called as smart AI chips.
How smart is an AI chip?
How smart is an AI chip?
The fusion of cloud and AI is a source of innovation and a means to accelerate change. The smart AI chip carries out a multitude of functions, which provide information about products, company, people, current updates, and others. It answers a wide array of questions and responds to them using its intelligence. Smart AI chips are used in devices for performing tasks, such as recognizing your voice commands, faces in photos, and human voices interaction; for example, if we ask, “how much traffic is there on route to office?”, the smart AI chip uses a real-time location tracer and answers the question. The top giant companies, such as Google and Amazon, have been working to provide products based on smart AI chips.
To become a leader in the AI technology, the top tech giants started investing in this field. The AI systems are made of software and hardware that work in parallel to support the calculations. This generated the need to develop their own AI chips for supporting their AI development. These chipsets have grown smaller and more sophisticated; for example, Google has designed an application-specific integrated circuit (ASIC) that handles complex processes. This chip is known as the tensor processing unit (TPU). It has an instruction set, so as TensorFlow programs are changed or new algorithms are developed, they can run on the TPU. This reduced its dependence on hardware makers. In consequence, the demand for specialized AI chips has been growing rapidly.
New approaches for smart AI chips
The AI chip market witnessed an increase in the adoption of this technology especially in the developing countries. The adoption of innovative techniques provides end users with advanced and innovated product offerings. The organizations have adopted strategies, such as cooperation, collaboration, product launch, partnership, R&D, and accession, to expand their geographical presence and increase their market share.
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How Virtual Reality is Revolutionizing the Gaming Industry
As far, restraining factor in the growth of Mixed Reality in Gaming is getting low because of limited capacity of memory card and storage in smartphones. Because it is a combination of both virtual as well as real world, it consumes more energy which in result affect the overall functioning. Apart from this, growing usage in designing stream, more progress can be recorded. Another factor, rise in funding in MR is opening gate for more efficient and updated technology which will give more create opportunities for the market.
Mixed Reality (MR) in Gaming is a technology combining real environment and virtual world which increases efficiency by reducing time in product designing. MR is also termed as hybrid reality, it produces new surrounding and visualizations where physical and digital objects stands and interacts in real time. As demand for smartphone, tablet is increasing, it is offering a large scope to MR also. More to it, for giving proper and actual environment to train, MR is getting used especially in military and defense.
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The key players influencing the market are the list of companies for Mixed Reality in Gaming are Microsoft Corporation, Six Flags Entertainment Corporation, Ubisoft Entertainment SA, Osterhout Design Group, Inc., Recon Instruments, Seiko Epson Corporation, Canon Inc., Daqri, Meta Company and Magic Leap, Inc. among others.
Demand for Immersive Virtual Gaming Experience Boosts Growth
At the forefront of driving the mixed reality in gaming market is unceasing growth of the gaming industry. The rising demand for mixed reality in video games among gaming geeks is likely to bode well for this market’s growth. The incorporation of mixed reality provides an immersive virtual environment and enables gamers to experience virtual reality on their gadgets. For example, the launch of Microsoft Hololens motion controllers and developer kits is serving to aid market players stimulate the development of mixed reality in gaming.
The ceaseless adoption of smartphones equipped with mobile data is generally stoking demand for entertainment and informative apps. Gaming apps especially the ones that provide immersive virtual environment account for widespread demand among gaming enthusiasts.
Integration of Phenomenon in Theme Parks to Fuel Growth
Apart from this, increasing adoption of mixed reality in gaming technology in amusement parks and military training is likely to bode well for the market’s growth. Large theme parks in developed countries such as the U.S. are making hefty investments to integrate mixed reality in gaming technology to provide an immersive gaming experience. Brand name theme parks are also investing to design and develop mixed reality in gaming technology based theme parks.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Mixed Reality in Gaming based on by component, devices, technology and application. It also provides market size and forecast till 2025 for overall Mixed Reality in Gaming with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 counties globally along with current trend and opportunities prevailing in the region.
Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the market in these regions. Also, key Mixed Reality in Gaming players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information of last 3 years, key development in past five years.
Source: The Insight Partners
How Virtual Reality is Revolutionizing the Gaming Industry
As far, restraining factor in the growth of Mixed Reality in Gaming is getting low because of limited capacity of memory card and storage in smartphones. Because it is a combination of both virtual as well as real world, it consumes more energy which in result affect the overall functioning. Apart from this, growing usage in designing stream, more progress can be recorded. Another factor, rise in funding in MR is opening gate for more efficient and updated technology which will give more create opportunities for the market.
Mixed Reality (MR) in Gaming is a technology combining real environment and virtual world which increases efficiency by reducing time in product designing. MR is also termed as hybrid reality, it produces new surrounding and visualizations where physical and digital objects stands and interacts in real time. As demand for smartphone, tablet is increasing, it is offering a large scope to MR also. More to it, for giving proper and actual environment to train, MR is getting used especially in military and defense.
Get sample PDF copy @ https://www.theinsightpartners.com/sample/TIPTE100000733/
The key players influencing the market are the list of companies for Mixed Reality in Gaming are Microsoft Corporation, Six Flags Entertainment Corporation, Ubisoft Entertainment SA, Osterhout Design Group, Inc., Recon Instruments, Seiko Epson Corporation, Canon Inc., Daqri, Meta Company and Magic Leap, Inc. among others.
Demand for Immersive Virtual Gaming Experience Boosts Growth
At the forefront of driving the mixed reality in gaming market is unceasing growth of the gaming industry. The rising demand for mixed reality in video games among gaming geeks is likely to bode well for this market’s growth. The incorporation of mixed reality provides an immersive virtual environment and enables gamers to experience virtual reality on their gadgets. For example, the launch of Microsoft Hololens motion controllers and developer kits is serving to aid market players stimulate the development of mixed reality in gaming.
The ceaseless adoption of smartphones equipped with mobile data is generally stoking demand for entertainment and informative apps. Gaming apps especially the ones that provide immersive virtual environment account for widespread demand among gaming enthusiasts.
Integration of Phenomenon in Theme Parks to Fuel Growth
Apart from this, increasing adoption of mixed reality in gaming technology in amusement parks and military training is likely to bode well for the market’s growth. Large theme parks in developed countries such as the U.S. are making hefty investments to integrate mixed reality in gaming technology to provide an immersive gaming experience. Brand name theme parks are also investing to design and develop mixed reality in gaming technology based theme parks.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Mixed Reality in Gaming based on by component, devices, technology and application. It also provides market size and forecast till 2025 for overall Mixed Reality in Gaming with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 counties globally along with current trend and opportunities prevailing in the region.
Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the market in these regions. Also, key Mixed Reality in Gaming players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information of last 3 years, key development in past five years.
Source: The Insight Partners
The Emerging Role of AI in Edge Computing
The “things” in the Internet of Things are getting smarter, with profound implications for organizations and the way people work and live.
Internet of Things (IoT) has taken businesses today by storm and has become one of the centric strategies for businesses to emerge as the leaders in the market. Most of the businesses have laid enhanced importance towards IoT implementations into the business models for achieving enhanced levels of customer service. Harnessing the power of IoT, business models have witnessed a paradigm shift in their operations. With IoT, the analysis and processing remained limited to the central authority, however, with the advent of AI in edge computing, the analysis and processing power has been transferred to the edge devices.
Increasing penetration of machine learning and advancements in the Artificial Intelligence technologies is anticipated to be one of the major factors driving the AI edge computing market. Higher cost of implementations coupled with weak infrastructures for AI, hinders the adoptions of this technology further posing a challenge to the growth of AI edge computing market. Encouraging advancements in the sensor technology coupled with significant investments by Governments for the development of IoT to provide new opportunities to the players operating in the AI Edge Computing market.
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The advantages of AI-enhanced decision-making at the edge include the following:
- Edge-based AI is highly responsive and closer to real-time than the typical centralized IoT model deployed to date. Insights are immediately delivered and processed, most likely within the same hardware or devices.
- Edge-based AI ensures greater security. Sending data back and forth with Internet-connected devices subjects data to tampering and exposure even without anyone being aware. Processing at the edge minimizes this risk, with an additional plus: Edge-based AI-powered devices can include enhanced security features.
- Edge-based AI is highly flexible. Smart devices support the development of industry-specific or location-specific requirements, from building energy management to medical monitoring.
- Edge-based AI doesn’t require a PhD to operate. Since they can be self-contained, AI-based edge devices don’t require data scientists or AI developers to maintain. Required insights are either automatically delivered where they are needed, or visible on the spot through highly graphical interfaces or dashboards.
- Edge-based AI provides for superior customer experiences. By enabling responsiveness through location-aware services, or rerouting travel plans in the event of delays, AI helps companies build trust and rapport with their customers.
The key players influencing the industry are Cisco Systems, Inc., Huawei Technologies Co. Ltd., Nokia Networks, Hewlett Packard Enterprise, and FogHorn Systems. Also, IBM Corporation, Saguna Networks Ltd., ClearBlade, Inc., Vapor IO, and Rigado, LLC are a few other important players in the AI edge computing.
Examples of applications benefitting from AI-charged edge computing include medical devices, manufacturing systems and vehicles. Medical devices, in particular, have an acute need for at-the-edge intelligence – critical data in the operating room, for example, has to be processed in a timely fashion in order to provide the right information for physicians or doctors to act upon.
Source: The Insight Partners
Innovative AI chips to make the world faster and more efficient
Artificial intelligence chips are a class of microprocessors designed for applications including machine learning, machine vision, and artificial neural networks. The artificial intelligence technology helps in minimizing the risks associated with human life in many industry verticals. Growth in the internet of things (IoT) sector and developments in smartphone integration is majorly driving the global market. However, lack of skilled workforce is hindering the growth of the artificial intelligence chip market. Rise in adoption in the developing economies is opportunistic for the market.
The growth of the global artificial intelligence chip market is driven by increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, development of smart cities restrains the market growth.
The global artificial intelligence chip market was valued at $4,515 million in 2017, and is projected to reach $91,185 million by 2025, growing at a CAGR of 45.4% from 2018 to 2025.
The "Global Artificial Intelligence Chip Market Analysis to 2027" is a specialized and in-depth study of the artificial intelligence chip industry with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence chip market with detailed market segmentation by type, end user, and geography. The global artificial intelligence chip market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence chip market.
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Researchers claim to design the smallest AI chip
The Taiwanese research team and a tech firm claimed that it has designed the smallest AI chip of the world, which has measurements of 7mm by 7mm. The scientists at the National Taiwan Normal University’s (NTNU) Department of Electrical Engineering collaborated with the Taiwan branch of T1 Technologies Inc. for development of the “edge AI chip.” The team also launched a system development kit (SDK), which presents a collection of software that can be utilized for the development of applications for various devices or operating systems. The chip developed by the team consists of a deep-learning convolutional network that can be utilized for various applications.
Apple’s innovative and faster AI chip
The leading tech giant Apple has announced its new AI chip A12 Bionic. A 7nm smartphone chip has nearly 6.9 billion transistors and a neural engine along with a graphics processing unit (GPU), which is 50 percent faster than its A11 chip. It has the capability to perform nearly 5 trillion operations per second. Its system on a chip (SoC) functionality will enable the tech giant to become one of the leading companies in AI chip market across the globe. Its previous versions A11 Bionic and A10 Fusion boasted GPU and neural engine to empower AI accelerators. As the market for smartphones has been evolving rapidly, manufacturers have been developing chips that can offer optimum capabilities.
AI chip to improve the network performance
The data center of Huawei has begun an AI chip to improve the network performance. The Chinese firm has announced its product at its spring 2019 event. This product comes into implementation as the firm faces political pressure and bans in the U.S. and European regions. Kevin Hu, President of Huawei Network Product Line, outlined that its CloudEngine 16800 contains three features crucial to the “data center switches in the AI era.” Along with the embedded chip, there is 48-port 400GE line card per slot. Moreover, it has the ability to evolve with an intent-based network.
Moreover, the computing power limitations can be tackled, the AI computing power can be enhanced from 50 percent to 100 percent, and the data storage Input/Output Operations Per Second (IOPS) can be improved by 30 percent. The AI chip also improves the level of intelligence of devices that are deployed at the network edge along with offering the switch an ability to carry out local inference and real-time decision making. Moreover, it offers analyzer to determine faults in few seconds and locates the faults in few minutes.
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