Embedded Vision: The Road Ahead for Neural Networks and Five Likely Surprises
It is the Embedded Vision Summit. Every year this event gets bigger, reflecting the growing interest in the area. Silicon is now capable enough that it is feasible to do complex algorithms in smartphones and automotive processors, rather than requiring an upload to the cloud. Almost overnight, machine learning (sometimes called deep learning) has become a hot topic. In fact, in 2014 machine learning was not even on the Gartner Hype Cycle for Emerging Technology and by 2015 it had climbed all the way to Peak Hype. Hopefully, next year we not be in the Trough of Dissillusionment.
To read the full article, click here
Related Semiconductor IP
- Root of Trust (RoT)
- Fixed Point Doppler Channel IP core
- Multi-protocol wireless plaform integrating Bluetooth Dual Mode, IEEE 802.15.4 (for Thread, Zigbee and Matter)
- Polyphase Video Scaler
- Compact, low-power, 8bit ADC on GF 22nm FDX
Related Blogs
- Take your neural networks to the next level with Arm's Machine Learning Inference Advisor
- What Lies Ahead for the Automotive Industry in 2024
- A Fast and Seamless Way to Burst to the Cloud for Peak EDA Workloads
- Flash Forward: MRAM and RRAM Bring Embedded Memory and Applications into the Future
Latest Blogs
- Cadence Announces Industry's First Verification IP for Embedded USB2v2 (eUSB2v2)
- The Industry’s First USB4 Device IP Certification Will Speed Innovation and Edge AI Enablement
- Understanding Extended Metadata in CXL 3.1: What It Means for Your Systems
- 2025 Outlook with Mahesh Tirupattur of Analog Bits
- eUSB2 Version 2 with 4.8Gbps and the Use Cases: A Comprehensive Overview