To accelerate efficient performance in autonomous vehicles, the new AI domain controller from Ambarella promises robust single-chip processing for multi-sensor perception in an advanced driver-assistance system (ADAS).
January 10, 2022 by Abdulwaliy Oyekunle
As computing moves towards the edge, a heterogeneous computing architecture, NeuPro-M from CEVA, also hopes to bring machine learning (ML) to the edge while boasting performance and power improvements.
January 07, 2022 by Jake Hertz
How close are we to reverse-engineering the human brain's plasticity? New research in computational neuroscience and nanotechnologies indicates that neuromorphic chips can read synaptic connectivity with greater sensitivity.
December 16, 2021 by Biljana Ognenova
The natural world can always be an inspiration for new technology. A new sensor inspired by spider webs from TU Delft could have large implications for the study of gravity, the quantum internet, and more.
December 08, 2021 by Jake Hertz
Moving away from Cloud-based AI to the network Edge reduces power and bandwidth demands. Akida, the neuromorphic Edge AI processor from BrainChip might help to facilitate that move along with MegaChips' help.
November 29, 2021 by Adrian Gibbons
As the need for better multimedia devices continues to grow at an alarming rate, MediaTek, using TSMC's 7nm technology, is paving the way towards 8K resolution technology with its Pentonic 2000 SoC.
November 29, 2021 by Jake Hertz
Bad actors soliciting communications with sensitive radio devices can lead to data breaches. Building upon machine learning techniques, IARPA launches a new program called SCISRS for real-time RF signal analysis.
November 24, 2021 by Adrian Gibbons