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
- Why What Where DIFI and the new version 1.3
- Rethinking Edge AI Interconnects: Why Multi-Protocol Is the New Standard
- A New Era for Edge AI: Codasip’s Custom Vector Processor Drives the SYCLOPS Mission
- Physical AI at the Edge: A New Chapter in Device Intelligence
Latest Blogs
- A Low-Leakage Digital Foundation for SkyWater 90nm SoCs: Introducing Certus’ Standard Cell Library
- FPGAs vs. eFPGAs: Understanding the Key Differences
- UCIe D2D Adapter Explained: Architecture, Flit Mapping, Reliability, and Protocol Multiplexing
- RT-Europa: The Foundation for RISC-V Automotive Real-Time Computing
- Arm Flexible Access broadens its scope to help more companies build silicon faster