Search results for: 'platform screen dd09'

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

05 Aug 2019  |  South Asia, Middle East & North Africa  |  Market Research

Assessment of the Wearables Market in India, Forecast to 2023

Growing Trend Towards Adoption of Smart Devices, Young Tech Savvy Population, and Increasing Incomes to Drive Growth

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The study aims to analyze and forecast the Indian wearables market from 2018 to 2023. The wearables market is broken down into Fitness Trackers, Smart Watches, and Medical Devices & Others. • Fitness trackers are also known as basic wearables which use sensors to perform functions such as detect physical functions of the body, help track ...

The advanced imaging sensors market is growing rapidly, driven by fast-paced innovations and increasing consumer demand. As industries place greater emphasis on comfort, convenience, safety, and efficiency, the global sensor market for autonomous vehicles and robotics is experiencing exponential growth. Governments and regulatory bodies across regi...

This study focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than providing a broad packaging market overview. It analyz...

This study examines the technology landscape, commercialization progress, and future growth opportunities of wide-bandgap (WBG) semiconductor materials, with a primary focus on silicon carbide (SiC), gallium nitride (GaN), and gallium oxide (Ga₂O₃) for power and RF electronics. It evaluates how these materials enable higher efficiency, greater powe...

The Microelectronics Technology Opportunity Engine provides profiles of innovations related to High-qubit Quantum Computing Platform, Energy-efficient and Scalable AI Accelerators, High-performance and Scalable Quantum Computers, Sustainable Tensor Processing Technology, High Performance eFPGA and Advanced Optical DSP.The Microelectronics Technolog...

The Microelectronics Technology Opportunity Engine provides profiles of innovations related to High-qubit Quantum Computing Platform, Energy-efficient and Scalable AI Accelerators, High-performance and Scalable Quantum Computers, Sustainable Tensor Processing Technology, Modular Quantum Computing Architecture, Turnkey High-performance Quantum Compu...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to High-Efficiency Power Module for Reliable AI at the Edge Performance, Programmable USB Peripheral Controller to Create USB Devices, Compact AI Supercomputer Platform, Ultra-Wide Band Transceiver, Advanced TPU AI Inference Chip, and Space-based 5G Connection.The Micr...