Intel Follows Qualcomm Down Neural Network Path
Peter Clarke, Electronics360
June 23, 2014
One of the reasons Intel Corp. is interested in putting FPGA die next to its Xeon processors (see Intel to Package FPGA with Xeon Processor) is so that it can deploy neural networks along side its x86 processors. Of course, in the longer term Intel could try to go for monolithic implementation of CPU cores and FPGA fabric if it can obtain the appropriate IP.
Neural networks often implemented as software on conventional processors, including x86 architecture processors, were a hot topic 25 years ago as the first software simulations of weighted summing networks started to show the interesting ability of being able to learn how to process data. However, in those days networks of a few 10s or 100s of neurons represented a practical limit, and fell a long way short of the biological systems on which they were based.
To read the full article, click here
Related Semiconductor IP
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related News
- Cadence Announces New Tensilica Vision P6 DSP Targeting Embedded Neural Network Applications
- CEVA's 2nd Generation Neural Network Software Framework Extends Support for Artificial Intelligence Including Google's TensorFlow
- Khronos Launches Dual Neural Network Standard Initiatives
- Neurala Announces $14 Million Series A to Bring Deep Learning Neural Network AI Software to Drones, Self-Driving Cars, Toys and Cameras
Latest News
- Arteris Deployed by Speedata for Data Center Compute
- Siemens to acquire Defacto Technologies to complement its EDA portfolio with automated SoC design creation
- Mach42 Completes £7M Funding Round, Led by IP Group With Investment From BGF and Foresight Group
- ELECTRA IC Unveils Comprehensive IP Core Suite for Next-Generation Post-Quantum Cryptography
- CAST Enhances Serial Memory Controller IP with Encryption, Low-Power, and ASIL-Ready Options