As the number of devices connected to the internet continues to increase, so does the amount of redundant data transfer between different sensory terminals and computing units. Computing approaches that intervene in the vicinity of or inside sensory networks could help to process this growing amount of data more efficiently, decreasing power consumption and potentially reducing the transfer of redundant data between sensing and processing units.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2WCZdso
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
Exploring the potential of near-sensor and in-sensor computing systems
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment