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
- Mesochronous Bridge for PCIe/CXL
- AI-native GPU
- OpenGMSL Verification IP
- OpenGMSL Leaf IP
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
Related Blogs
- Verification of UALink (UAL) and Ultra Ethernet (UEC) Protocols for Scalable HPC/AI Networks using Synopsys VIP
- Embedded Security explained: IPsec and IKEv2 for embedded Systems
- eUSB2V2: Trends and Innovations Shaping the Future of Embedded Connectivity
- ChiPy®: Bridge Neural Networks and C++ on Silicon — Full Inference Pipelines with Zero CPU Round-Trips
Latest Blogs
- Automated, Faster Specification to Sign-Off with IDS-AI
- NovaTech Automation Crius PIU: Bringing Conventional Instrument Transformers onto the IEC 61850 Process Bus
- Single Pair Ethernet and TSN: The In-Robot Network Behind the Next Humanoid Robots
- A design path to success exists for ultra-low-voltage SoCs
- Where Routine Flow Ends Veriest Formal Expertise Begins