Search results for: 'system on models soc'

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 ...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

Real-time location solutions (RTLS) provide accurate information on the location of materials, goods, assets, persons, or vehicles. The system includes tags, readers, and a software solution. This study covers different RTLS technologies that assets send radio signals to, such as wireless fidelity (Wi-Fi), RFID, ultra-wideband (UWB), Bluetooth Low ...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to memory systems such as DRAM, MRAM, and other memory technologies for improved performance, advancements in materials enabling next generation chipsets, 3.5D System-in-Package Platform For Enhanced AI Training, GaN Device for Improved Motor Energy Efficiency and Low-...

12 Jun 2020  |  South Asia, Middle East & North Africa  |  Market Outlook

India Facilities Management Industry Outlook, 2020

The Facilities Management Market in India is Going Through a Major Transformation, Driven by Technological Innovation, New Business Models, and New Service Offerings

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Key Issues Addressed

Professional FM services have now become a necessity for asset owners, as they not only help increase the lifespan of a building but also help owners meet international health and safety standards. The increased need to reduce operating costs of facilities and buildings of end-user segments and increasing demand for energy conservation and optimum ...

Quantum sensing is transitioning from laboratory research to industrial deployment, driven by the need for ultra-precise, reliable measurement in high-impact sectors such as healthcare, defense, and advanced manufacturing. This shift reflects a broader move from controlled, research-grade environments toward scalable, field-ready systems that meet ...

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...

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...

With air pollution becoming a health hazard, there is very little that citizens can do to immediately address the problem; this is where the air purifier comes into play. In recent years, the air purifier market has witnessed a hike in demand fueled by degrading air quality and increasing concern toward health issues. The air purifier industry is d...