SOURCE Research and Markets
DUBLIN, July 4, 2019 /PRNewswire/ -- The "Artificial Intelligence Insight Series - Neuromorphic Chipsets" report has been added to ResearchAndMarkets.com's offering.
The application of Artificial Intelligence (AI) is growing exponentially. This rapid expansion of AI software development, therefore, calls for a focused effort to build new hardware that can process the emerging AI algorithms.
The future of AI hardware will be defined by biologically-inspired neuromorphic chipsets, which provide a real time boost for AI systems. Brain-like chips deliver natural intelligence in major AI applications in the long-term, and have the desirable characteristics of intelligent sensors. The ultimate aim is to develop process technologies, materials, memories, and other building blocks for the integration of the neuron chips into sensors.
Focus is on the impact of neuromorphic hardware across different industries. Current status or limitations, and the future requirements and use cases for each industry have been considered to build the adoption scenario. The advantages offered by neuromorphic chipsets for the different verticals address how the new brain-inspired technology can help bridge the gap in the future.
The different industries included are:
The report includes an overview of the key players and active research projects in the domain. It covers different entities ranging from established semiconductor players and specialized neuromorphic solution providers, to universities and research institutes. The different parameters related to implementation level, market readiness, future focus, etc., are also highlighted. Additionally, the section includes an overview of emerging players and startups in ecosystem that are providing differentiated offerings and defining new frontiers in neuromorphic architecture and design.
A patent study has been conducted to understand the evolution of patent publications and countries of the patent filings. The key assignees and technology domains shaping the neuromorphic IP landscape have also been covered to assess upcoming trends.
A total of 700 patent publications have been identified as specific to neuromorphic hardware, out of which, the top five IP players are IBM, Qualcomm, SK Hynix, Intel, and Brain Corporation. The patent section also covers key technology areas, emerging entities, patent collaborations and geographical distribution of assignees.
Key Questions Addressed
Key Topics Covered
1.1. Introduction to the Architecture and Properties
1.2. Implementation of Neural Algorithms on Hardware
1.3. Spiking Neural Networks Driving Neuromorphic Computing
1.4. Neuromorphic Chipsets Transforming the AI Landscape
1.5. Key Features Enabling Industry-wide Adoption
2. Industry Adoption of Neuromorphic Chipsets
2.2. IoT Ecosystem
2.3. Financial Services
2.5. Space Industry
2.6. Medical Systems
3. Competitive Intelligence
3.1. Key Players
3.2. Active Research Projects
3.3. Increased Interest in Emerging Entities
3.4. Overview of the Start-up Ecosystem
4. R&D in the Neuromorphic Hardware Domain
4.1. Universities active in the Domain
5. Patent Trend Analysis
5.1. Overview of the Patenting Activities
5.2. Top Technology Domains
5.3. Focus Areas of the Technology Domains
5.4. Assignees Across Geographies
5.5. Overview of Assignees
5.6. Top Assignees
5.7. Emerging Players and Top Universities
5.8. Other Important Activities
6. Key Takeaways
For more information about this report visit https://www.researchandmarkets.com/r/yfejuj
Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
Research and Markets
Laura Wood, Senior Manager
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