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 Semiconductor IP
- Highly scalable performance for classic and generative on-device and edge AI solutions
- MIPI CSI-2 TX Controller
- 1.6T Ultra Ethernet Controller
- HBM4E PHY and controller
- HBM3 PHY
Related Blogs
- Why 28nm is the New Strategic Node?
- Beyond Trusted: What the NSA’s New Guidance Means for Hardware Security
- Moore’s Law and 40nm Yield
- Moore's Law and 28nm Yield
Latest Blogs
- Multiple neuromorphic chips, one grid, no new middleware
- Beyond Trusted: What the NSA’s New Guidance Means for Hardware Security
- A scalable, shader-programmable vector graphics GPU core for low-power MCUs
- Navigating ISO 26262 Part 11: A Guide for Semiconductor Architects
- Embedded Security explained: Digital signatures