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
- USB 4.0 V2 PHY - 4TX/2RX, TSMC N3P , North/South Poly Orientation
- FH-OFDM Modem
- NFC wireless interface supporting ISO14443 A and B with EEPROM on SMIC 180nm
- PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
- USB Full Speed Transceiver
Related Blogs
- Securing The Road Ahead: MACsec Compliant For Automotive Use
- 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
- Semidynamics – Customizable RISC-V Technology for the Next Five AI Revolutions