Innovations in System-on-a-chip, Quantum Dots, Graphene-based Electronics, and Wearables

Innovations in System-on-a-chip, Quantum Dots, Graphene-based Electronics, and Wearables

RELEASE DATE
05-Oct-2018
REGION
Global
Research Code: D777-00-9A-00-00
SKU: ES01058-GL-TA_22457
$250.00
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ES01058-GL-TA_22457
$250.00
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Description

This Microelectronics TOE profiles developments in system-on-a-chip (SoC), quantum dots, graphene-based electronics, and wearables. Innovations in focus in the TOE are SoC that enables machine learning capabilities in edge devices, a graphene powered nanoelectronic device with fast clock speed, a wearable patch that helps monitor central blood pressure, flat quantum dots for consumer electronics applications, and a silicon chip that enables local AI (artificial intelligence) by deploying parallel processing.

The Microelectronics TechVision Opportunity Engine (TOE) captures global electronics-related innovations and developments on a weekly basis. Developments are centred on electronics attributed by low power and cost, smaller size, better viewing, display and interface facilities, wireless connectivity, higher memory capacity, flexibility and wearables. Research focus themes include small footprint lightweight devices (CNTs, graphene), smart monitoring and control (touch and haptics), energy efficiency (LEDs, OLEDs, power and thermal management, energy harvesting), and high speed and improved conductivity devices (SiC, GaN, GaAs).

Miniaturization, a move toward lower power consumption, and the need for enhanced features are driving innovations in the electronics sector. Technology focus areas include semiconductor manufacturing and design, flexible electronics, 3D integration/IC, MEMS and NEMS, solid state lighting, advanced displays, nanoelectronics, wearable electronics, brain computer interface, advanced displays, near field communication, and next generation data storage or memory.

Keywords: Neural networks, system-on-chip, SoC, graphene, nanoelectronics, wearable, quantum dots, artificial intelligence, AI

Table of Contents

Advancements in System-on-a-chip, Quantum Dots, Graphene-based Electronics, and Wearables

  • SoC that Enables Machine Learning Capabilities in Edge Devices
  • Graphene Powered Nanoelectronic Device with Fast Clock Speed
  • Wearable Patch Helps Monitor Central Blood Pressure
  • Flat Quantum Dots for Consumer Electronics Applications
  • Silicon Chip Enables Local AI by Deploying Parallel Processing
  • Industry Contacts
Related Research
This Microelectronics TOE profiles developments in system-on-a-chip (SoC), quantum dots, graphene-based electronics, and wearables. Innovations in focus in the TOE are SoC that enables machine learning capabilities in edge devices, a graphene powered nanoelectronic device with fast clock speed, a wearable patch that helps monitor central blood pressure, flat quantum dots for consumer electronics applications, and a silicon chip that enables local AI (artificial intelligence) by deploying parallel processing. The Microelectronics TechVision Opportunity Engine (TOE) captures global electronics-related innovations and developments on a weekly basis. Developments are centred on electronics attributed by low power and cost, smaller size, better viewing, display and interface facilities, wireless connectivity, higher memory capacity, flexibility and wearables. Research focus themes include small footprint lightweight devices (CNTs, graphene), smart monitoring and control (touch and haptics), energy efficiency (LEDs, OLEDs, power and thermal management, energy harvesting), and high speed and improved conductivity devices (SiC, GaN, GaAs). Miniaturization, a move toward lower power consumption, and the need for enhanced features are driving innovations in the electronics sector. Technology focus areas include semiconductor manufacturing and design, flexible electronics, 3D integration/IC, MEMS and NEMS, solid state lighting, advanced displays, nanoelectronics, wearable electronics, brain computer interface, advanced displays, near field communication, and next generation data storage or memory. Keywords: Neural networks, system-on-chip, SoC, graphene, nanoelectronics, wearable, quantum dots, artificial intelligence, AI
More Information
No Index No
Podcast No
Industries Electronics and Sensors
WIP Number D777-00-9A-00-00
Is Prebook No
Ti Codes D773,D900,D901,D904,D909,D90A,D90D,D90E,D911,D913,D914,D915,D917,D918,D91B,D91C,D920,D922,D924,D925,D928,D930,D934,D941,D943,D944,D947-TI