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?
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |
Related News
- How Will 5G Advanced Change RF Design?
- Harvard Researchers Select Flex Logix's Embedded FPGA Technology To Design Deep Learning SoCs
- Reading the tea leaves: How deep will EDA losses go?
- Neurxcore Introduces Innovative NPU Product Line for AI Inference Applications, Powered by NVIDIA Deep Learning Accelerator Technology
- Syntiant's Deep Learning Computer Vision Models Deployed on Renesas RZ/V2L Microprocessor
Breaking News
- JEDEC® and Industry Leaders Collaborate to Release JESD270-4 HBM4 Standard: Advancing Bandwidth, Efficiency, and Capacity for AI and HPC
- BrainChip Gives the Edge to Search and Rescue Operations
- ASML targeted in latest round of US tariffs
- Andes Technology Celebrates 20 Years with New Logo and Headquarters Expansion
- Creonic Unveils Bold Rebrand to Drive Innovation in Communication Technologies
Most Popular
- Cadence to Acquire Arm Artisan Foundation IP Business
- AMD Achieves First TSMC N2 Product Silicon Milestone
- Why Do Hyperscalers Design Their Own CPUs?
- Siemens to accelerate customer time to market with advanced silicon IP through new Alphawave Semi partnership
- New TSN-MACsec IP core for secure data transmission in 5G/6G communication networks