Nov. 4 at 10:56 AM
$LMT 𝐍𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐌𝐨𝐝𝐞𝐥𝐬 𝐄𝐧𝐚𝐛𝐥𝐞 𝐋𝐨𝐰 𝐄𝐧𝐞𝐫𝐠𝐲 𝐀𝐢𝐫𝐩𝐨𝐫𝐭 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐒𝐩𝐚𝐜𝐞
Satellites operate with tight power reserves, yet the world depends on them to scan terrain and spot crucial infrastructure. Researchers have introduced a brain-style computing approach that cuts power consumption while locating airport runways from orbit with strong precision. This approach fires signals only when needed reducing wasted computation & allowing long-duration missions without heavy energy draw.
This method touches sectors far beyond academic labs. Space and defense organizations, aerospace programs, and companies such as LMT,
$RTN ,
$EADSY
&
$PL stand to gain from tools that support on-orbit decision-making.
🔗 Read the full article if interested
https://neuromorphiccore.ai/neuromorphic-models-enable-low-energy-airport-mapping-from-space