How Will Deep Learning Change SoCs?
Junko Yoshida, EETimes
3/30/2015 00:00 AM EDT
MADISON, Wis. – Deep Learning is already changing the way computers see, hear and identify objects in the real world.
However, the bigger -- and perhaps more pertinent -- issues for the semiconductor industry are: Will “deep learning” ever migrate into smartphones, wearable devices, or the tiny computer vision SoCs used in highly automated cars? Has anybody come up with SoC architecture optimized for neural networks? If so, what does it look like?
To read the full article, click here
Related Semiconductor IP
- Post-Quantum Digital Signature IP Core
- Compact Embedded RISC-V Processor
- Power-OK Monitor
- RISC-V-Based, Open Source AI Accelerator for the Edge
- Securyzr™ neo Core Platform
Related News
- Wally Rhines: Deep Learning Will Drive Next Wave of Chip Growth
- How Will 5G Advanced Change RF Design?
- Reading the tea leaves: How deep will EDA losses go?
- 64-bit MIPS Warrior core will change the game for CPUs from mobile devices to datacenter servers
Latest News
- Sofics Tapes Out Test Chip on TSMC 4nm Process with Novel ESD IP and Low-Power 1.8V and 3.3V GPIO Solutions
- ChipAgents Raises Oversubscribed $21M Series A to Redefine AI for Chip Design
- Zero ASIC announces release of Platypus heterogeneous eFPGA
- Arteris Selected by 2V Systems for IO Chiplet for Data Center
- Ceva Introduces Wi-Fi 7 1x1 Client IP to Power Smarter, More Responsive AI-Enabled IoT Devices and Emerging Physical AI Systems