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
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Brite Semiconductor Releases DDR3/4, LPDDR3/4 Combo IP
- Sofics and Dolphin Semiconductor Announce Strategic Partnership
- BOS Semiconductors Signed Development Contract for ADAS Chiplet SoC with an European OEM
- indie Semiconductor and GlobalFoundries Announce Strategic Collaboration to Accelerate Automotive Radar Adoption
Breaking News
- intoPIX Powers Ikegami's New IPX-100 with JPEG XS for Seamless & Low-Latency IP Production
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Qualcomm initiates global anti-trust complaint about Arm
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- SiliconIntervention Announces Availability of Silicon Based Fractal-D Audio Amplifier Evaluation Board
Most Popular
- Qualcomm initiates global anti-trust complaint about Arm
- Siemens acquires Altair to create most complete AI-powered portfolio of industrial software
- Alphawave Semi Reveals Suite of Optoelectronics Silicon Products addressing Hyperscaler Datacenter and AI Interconnect Market
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- Rapidus Announces Strategic Partnership with Quest Global to Enable Advanced 2nm Solutions for the AI Chip Era