Embedded Vision: The Road Ahead for Neural Networks and Five Likely Surprises
May 4, 2016
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
- MIL-STD-1553 Controller IP
- UFS 5.x Device IP
- UCIe 3.x Controller IP
- Ethernet 800G PCS IP
- CHI to UCIe Bridge IP
Related Blogs
- Vision Transformers Have Already Overtaken CNNs: Here’s Why and What’s Needed for Best Performance
- Securing The Road Ahead: MACsec Compliant For Automotive Use
- UEC-LLR: The Future of Loss Recovery in Ethernet for AI and HPC
- Morgan State University (MSU) Leveraging Intel 16 and the Cadence Tool Flow for Academic Chip Tapeout
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