Chris Rowen: Neural Networks - The New Moore's Law
In addition to being the master of ceremonies for the recent embedded neural network symposium, Chris Rowen also presented his own thoughts. Chris used to be the CTO of Tensilica, and after Cadence acquired them he became the CTO of the IP group. Last year he left to create a startup in the deep learning space, called Cognite Ventures.
Something Chris pointed out last year at the previous summit was that 99% of captured raw data are pixels (photographs and video). This dwarfs everything else such as sound and motion. Starting in 2015, there are more image sensors in the world than there are people, and the amount of data that they produce is staggering (1010 sensors x 108 pixels/second = 1018 pixels/second). Making sense of all this raw data requires computer cognition.
To read the full article, click here
Related Blogs
- Universal Browser Support for JPEG XL: Is Your Hardware Ready for the New Standard?
- Moore’s Law and 40nm Yield
- Moore's Law and 28nm Yield
- Moore's (Empirical Observation) Law!
Latest Blogs
- CDM Dependence on Device Capacitance
- What the Cyber Resilience Act means for the future of chip design
- When Your IP Vendor Has Operated 150,000 Base Stations: Introducing Viettel Semiconductor
- Relationship between architecture and validation in system design
- The Post-Quantum Cryptography Mandate: Building Cryptographically Agile Systems for the Quantum Era