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
- xSPI Multiple Bus Memory Controller
- MIPI CSI-2 IP
- PCIe Gen 7 Verification IP
- WIFI 2.4G/5G Low Power Wakeup Radio IP
- Radar IP
Related Blogs
- 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
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
Latest Blogs
- The Growing Importance of PVT Monitoring for Silicon Lifecycle Management
- Unlock early software development for custom RISC-V designs with faster simulation
- HBM4 Boosts Memory Performance for AI Training
- Using AI to Accelerate Chip Design: Dynamic, Adaptive Flows
- Locking When Emulating Xtensa LX Multi-Core on a Xilinx FPGA