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
- General use, integer-N 4GHz Hybrid Phase Locked Loop on TSMC 28HPC
- JPEG XL Encoder
- LPDDR6/5X/5 PHY V2 - Intel 18A-P
- ML-KEM Key Encapsulation & ML-DSA Digital Signature Engine
- MIPI SoundWire I3S Peripheral IP
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
- Mixel MIPI IP Integrated into Automotive Radar Processors Supporting Safety-critical Applications
- GlobalFoundries and Navitas Semiconductor Partner to Accelerate U.S. GaN Technology and Manufacturing for AI Datacenters and Critical Power Applications
- VLSI EXPERT selects Innatera Spiking Neural Processors to build industry-led neuromorphic talent pool
- SkyWater Technology and Silicon Quantum Computing Team to Advance Hybrid Quantum-Classical Computing
- Dnotitia Revolutionizes AI Storage at SC25: New VDPU Accelerator Delivers Up to 9x Performance Boost