An Amazing World of Possibilities (Computex 2017)
•
3 likes•1,107 views
We are in an age of miraculous transformation where technology is allowing amazing new things to become possible. Just recently we’ve heard about an artificial intelligence medical platform that will one day work alongside human doctors to diagnose illnesses. But as applications such as this, connected cars and a myriad other smart connected devices rapidly increase the value we extract from the digital world, there are new challenges to deal with. Complexity is rising rapidly; in how we enable scalable and efficient compute in edge devices, the network and the cloud – and in keeping all system layers secure. Rene Haas, the leader of ARM’s IP Group (IPG) will talk about ARM and its ecosystem partners’ response to these future challenges and the solutions we are looking to bring.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to An Amazing World of Possibilities (Computex 2017)
Similar to An Amazing World of Possibilities (Computex 2017) (20)
More from Arm
More from Arm (11)
Recently uploaded
Recently uploaded (20)
An Amazing World of Possibilities (Computex 2017)
- 1. ©ARM 2017 An amazing world of possibilities Rene Haas President, IP Group 2017 Computex May 30, 2017
- 2. ©ARM 20172 The path to total computing: 275B connected devices by 2035
- 3. ©ARM 20173 A new digital and intelligent world … ▪ Personal assistant ▪ Business tool ▪ Fitness tracker
- 4. ©ARM 20174 ..and then Artificial Intelligence
- 5. ©ARM 20175 ▪ Machine learning and CV for brain ▪ Real time embedded systems of MCUs, motor control and communications for kinetics ▪ Safety and security are critical Robots Multiple CPUs MCU Multiple CPUs MCU Multiple CPUs MCU MCU
- 6. ©ARM 20176 Global AI survey: the world is ready 71% see ‘noticeable’ impact by 2023 61% see better societal future 67% want private data processed at the edge 37% see medical/ scientific advances as biggest benefit
- 7. ©ARM 20177 Global AI survey:Taiwan 56% AI is already impacting their life 68% Interested in AI for personal companions and assistants 72% APAC consumers believe people will love their devices
- 8. ©ARM 20178 Rearchitecting the compute experience Designed from the ground up for AI Massive system performance uplift More intelligent systems System gains of over 50x for AI Architecture Software optimization Micro- architecture 50x
- 9. ©ARM 20179 Majority software systems beyond 2020 will rely on learning ~1995 to ~2020 Beyond 2020 Multi-process software growth Apps in software & hardware Interconnected services Single purpose machines Instructions based programs Command driven interface Process architecture Learning based systems ~1970 to ~1995 Big AI needs a system: Cloud/Network/Device…
- 10. ©ARM 201710 AI at the edge 2017: Training in cloud & inference at edge Mobile Wearables AR/VR Automotive Robotics IoT Healthcare Networking ▪ Advantages ▪ Lower latency ▪ Privacy ▪ Data locality Challenge: Compute, memory & thermal constraints ▪ Timeline ▪ 80% inference, 20% training – easily expected by 2025 Challenge: Edge AI capability helps but system must still evolve to deal with data flow demands
- 11. ©ARM 201711 Artificial Intelligence momentum Smart Home Assistant Intelligence Surveillance Autonomous Vehicles Robotics
- 12. ©ARM 201712 Smart Home Appliance Smart TV Smart Box Enabling the smarter home in ARM Cortex-A Cortex-M Cortex-A Mali GPU Cortex-A Mali GPU
- 13. ©ARM 201713 Computer vision ARM Cortex CPU ARM Mali GPU ARM CV Processor ARM Computing Library Head facing forwards Full body facing forward Person being tracked Head facing right Upper body facing right Full body facing right
- 14. ©ARM 201714 Telematics Cortex-R,-A Body and Chassis Controls Cortex-R,-M Infotainment/Cockpit Cortex-A,-R,-M Autonomous Sensors and Processing Cortex-A,-R,-M Hybrid/EV Powertrain Cortex-R,-M Safety Systems Cortex-R,-M The ARM Cortex Processor car: safe, efficient, secure compute for automotive
- 15. ©ARM 201715 Efficiency is king in autonomous electric cars Today’s EV Future EV Power consumption for autonomous Average battery capacity Distance on full charge ~ 3% < 1% 30kWh 60kWh 160km 500km
- 16. ©ARM 201716 ARM technology is applicable across many markets Enterprise and Servers Mobile and Consumer Automotive and Robotics Embedded and Connectivity
- 17. ©ARM 201717 200bn Total chips projected to have shipped 100bn Total chips shipped 50 billion Total chips shipped Growth of ARM-based chip shipments 202120171991 2013 2035
- 18. The trademarks featured in this presentation are registered and/or unregistered trademarks of ARM Limited (or its subsidiaries) in the EU and/or elsewhere. All rights reserved. All other marks featured may be trademarks of their respective owners. Copyright © 2017 ARM Limited ©ARM 2017