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
- Arteris Joins Intel Foundry Accelerator Ecosystem Alliance Program to Support Advanced Semiconductor Designs
- NEXT Semiconductor Technologies Collaborates with BAE Systems to Develop Next Generation Space-Qualified Chips
- Siemens collaborates with TSMC to drive further innovation in semiconductor design and integration
- BOS Semiconductors to Partner with Intel to Accelerate Automotive AI Innovation
- Certus Semiconductor Joins TSMC IP Alliance Program to Enhance Custom I/O and ESD Solutions
Breaking News
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- RISC-V Royalty-Driven Revenue to Exceed License Revenue by 2027
- Keysom Unveils Keysom Core Explorer V1.0
Most Popular
- RISC-V International Promotes Andrea Gallo to CEO
- See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit
- Andes Technology Showcases RISC-V AI Leadership at RISC-V Summit Europe 2025
- Ceva, Inc. Announces First Quarter 2025 Financial Results
- Cadence Unveils Millennium M2000 Supercomputer with NVIDIA Blackwell Systems to Transform AI-Driven Silicon, Systems and Drug Design






