ISPD Predicts Chip Futures
Machine Learning to Determine Architectures
R. Colin Johnson, EETimes
4/6/2017 10:31 AM EDT
PORTLAND Ore. — The paradigm of real-time machine learning is eliminating many of the human-driven elements in the physical design of microchips, according to speakers at the Association for Computing Machinery's (ACM's) International Symposium on Physical Design (ISPD).
IEEE- and Intel-Fellow Pradeep Dubey of Intel's Parallel Computing Lab outlined how cognitive computers will take over many human elements in his keynote presentation the Quest for the Ultimate Learning Machine.
E-mail This Article | Printer-Friendly Page |
|
Related News
- Fabless semiconductor startup Mindgrove launches India's first indigenously designed commercial high-performance MCU chip
- GOWIN's progress in global automotive market gathers momentum with award of ISO 26262 certification for its FPGA design environment
- Qualitas Semiconductor Partners with TUV Rheinland Korea to Enhance ISO 26262 Functional Safety Management System
- Cadence and TSMC Collaborate on Wide-Ranging Innovations to Transform System and Semiconductor Design
- Credo at TSMC 2024 North America Technology Symposium
Breaking News
- AiM Future Brings GenAI Applications to Mainstream Consumer Devices
- Axiomise Names Two Executives to Newly Formed Technical Advisory Board
- GDDR7 Adds Headroom to Meet AI Pressures
- Esperanto Technologies and Rapidus Partner to Enable More Energy-Efficient Designs for the Coming "Post GPU Era"
- Actions Technology's smart watch SoC adopted VeriSilicon's 2.5D GPU IP
Most Popular
- GDDR7 Adds Headroom to Meet AI Pressures
- New Automotive Grade Linux Platform Release Adds Cloud-Native Functionality, RISC-V Architecture and Flutter-Based Applications
- Esperanto Technologies and Rapidus Partner to Enable More Energy-Efficient Designs for the Coming "Post GPU Era"
- ADTechnology and ANAFLASH to Team Up for Embedded Vision Summit (EVS) showcase
- Andes, HiRain, and HPMicro Join Hands to Build RISC-V AUTOSAR Software Ecosystem