
DataShapes AI
@datashapes_ai
See the Unseen - Any Device, Anywhere, in Realtime. A veteran-founded company.
(Following, RTs & likes โ endorsement)
ID: 1836811848202461184
http://www.datashapesai.com 19-09-2024 16:57:44
133 Tweet
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๐๐ข๐ฅ๐ข๐ญ๐๐ซ๐ฒ ๐ฅ๐๐๐๐๐ซ๐ฌ๐ก๐ข๐ฉ ๐๐๐ซ๐จ๐ฌ๐ฌ ๐๐ฅ๐ฅ ๐๐ซ๐๐ง๐๐ก๐๐ฌ ๐ข๐ฌ ๐๐ฅ๐ข๐ ๐ง๐ข๐ง๐ ๐๐ซ๐จ๐ฎ๐ง๐ ๐จ๐ง๐ ๐๐ฅ๐๐๐ซ ๐ฉ๐ซ๐ข๐จ๐ซ๐ข๐ญ๐ฒ: ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง๐๐ฅ๐ข๐ณ๐ข๐ง๐ ๐๐. From the U.S. Navy to the U.S. Air Force, U.S. Marines, U.S. Army, and the United States Space Force, leaders



" USCYBERCOM Cybersecurity Alert U.S. Cyber Command's AI project, Artificial Intelligence for Cyberspace Operations, will aim to develop and conduct pilots while investing in infrastructure to leverage commercial AI capabilities." AI is no longer confined to research labsโit's being adopted



๐๐ก๐๐ฌ๐ ๐ญ๐ฐ๐จ ๐จ๐ ๐ฆ๐ข๐ฅ๐ข๐ญ๐๐ซ๐ฒ ๐๐ ๐ก๐๐ฌ ๐๐ซ๐ซ๐ข๐ฏ๐๐โ๐๐ง๐ ๐ข๐ญโ๐ฌ ๐๐ฅ๐ฅ ๐๐๐จ๐ฎ๐ญ ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ข๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐จ๐ง. The Pentagon is moving from experimentation to real-world deployment of AI across services and missions. The focus is now on



๐๐ง ๐ก๐ข๐ ๐ก-๐ฌ๐ญ๐๐ค๐๐ฌ ๐๐ง๐ฏ๐ข๐ซ๐จ๐ง๐ฆ๐๐ง๐ญ๐ฌ, ๐ก๐ฎ๐ฆ๐๐ง ๐๐ญ๐ญ๐๐ง๐ญ๐ข๐จ๐ง ๐ข๐ฌ ๐ ๐๐ข๐ง๐ข๐ญ๐ ๐ซ๐๐ฌ๐จ๐ฎ๐ซ๐๐. Thatโs why AI isnโt just a buzzword. Itโs a practical necessity. When operators are managing sensors, threats, communications, navigation, and mission


๐๐ง ๐ญ๐๐๐ญ๐ข๐๐๐ฅ ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ฏ๐๐ซ๐ฒ ๐ฌ๐๐๐จ๐ง๐ ๐๐จ๐ฎ๐ง๐ญ๐ฌ. And threats often hide in the invisible RF spectrum. Operators canโt afford to be buried in noise when decisions mean mission success or failure. ๐๐ฅ๐จ๐๐๐ฅ๐๐๐ ๐ยฎ applies AI to the spectrum,

"๐ฌ๐๐๐๐ ๐๐๐๐๐๐๐๐๐๐ ๐๐ ๐๐๐๐ ๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐ ๐ซ๐จ๐ญ ๐ฉ๐จ๐ป๐ป๐ณ๐ฌ ๐ต๐ฌ๐ป๐พ๐ถ๐น๐ฒ ๐๐๐๐๐๐๐ ; ๐๐โ๐๐ ๐๐๐ ๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐ ๐๐๐๐๐๐, ๐๐โ๐๐ ๐๐๐๐๐ ๐๐๐ ๐๐ ๐๐๐, ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐ ๐ ๐๐๐๐.โ -Lt. Col.


๐๐ ๐ญ๐ก๐๐ญ ๐ฐ๐จ๐ซ๐ค๐ฌ ๐ข๐ง ๐ ๐ฉ๐๐ซ๐๐๐๐ญ ๐๐ง๐ฏ๐ข๐ซ๐จ๐ง๐ฆ๐๐ง๐ญ ๐ข๐ฌ ๐๐๐ฌ๐ฒ. ๐จ๐ฐ ๐๐๐๐ ๐๐๐๐๐ ๐๐ ๐๐๐ ๐๐ ๐๐, ๐๐๐ ๐๐ ๐๐๐๐๐๐, ๐๐ ๐๐๐-๐๐๐๐๐๐๐๐๐๐๐๐, ๐๐๐๐-๐๐๐๐๐, ๐๐๐๐-๐๐๐๐๐๐๐๐๐๐๐

๐๐ก๐ ๐๐ ๐ฌ๐ฉ๐๐๐ญ๐ซ๐ฎ๐ฆ ๐ข๐ฌ ๐๐๐ง๐ฌ๐, ๐๐ฒ๐ง๐๐ฆ๐ข๐, ๐๐ง๐ ๐๐ข๐ฅ๐ฅ๐๐ ๐ฐ๐ข๐ญ๐ก ๐ง๐จ๐ข๐ฌ๐. But hidden within that complexity are signals that matter: threats, anomalies, and indicators of activity that canโt be missed. Thatโs where AI makes the difference. By


๐๐๐ฐ ๐๐ ๐๐๐ฉ๐๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ ๐๐ซ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐๐ ๐๐๐ฌ๐๐ ๐จ๐ง ๐๐ข๐ซ๐๐๐ญ ๐๐๐๐๐๐๐๐ค ๐๐ซ๐จ๐ฆ ๐๐ข๐๐ฅ๐ ๐จ๐ฉ๐๐ซ๐๐ญ๐จ๐ซ๐ฌโ๐๐๐๐๐ฎ๐ฌ๐ ๐ญ๐ก๐๐ญโ๐ฌ ๐ฐ๐ก๐๐ซ๐ ๐ญ๐ก๐ ๐ญ๐ซ๐ฎ๐ญ๐ก ๐ฅ๐ข๐ฏ๐๐ฌ. When you design with real user input, especially from



๐๐ง ๐๐๐ฌ๐ญ-๐ฆ๐จ๐ฏ๐ข๐ง๐ ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ง ๐จ๐ฏ๐๐ซ๐ฅ๐จ๐๐๐๐ ๐จ๐ฉ๐๐ซ๐๐ญ๐จ๐ซ ๐ข๐ฌ ๐ ๐ฏ๐ฎ๐ฅ๐ง๐๐ซ๐๐๐ฅ๐ ๐จ๐ง๐. When cognitive load exceeds capacity, mistakes happenโthreats are missed, decisions lag, and missions suffer. Thatโs why we treat cognitive load not

๐๐ก๐ ๐๐ฅ๐๐๐ญ๐ซ๐จ๐ฆ๐๐ ๐ง๐๐ญ๐ข๐ ๐ฌ๐ฉ๐๐๐ญ๐ซ๐ฎ๐ฆ ๐ข๐ฌ ๐ง๐จ ๐ฅ๐จ๐ง๐ ๐๐ซ ๐ ๐ฌ๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ ๐๐ฎ๐ง๐๐ญ๐ข๐จ๐งโ๐ข๐ญโ๐ฌ ๐ ๐๐๐ญ๐ญ๐ฅ๐๐ฌ๐ฉ๐๐๐. And unlike kinetic domains, most of it is invisible, fast-changing, and noisy. Thatโs why weโre using Edge AI to illuminate it.


"๐ซ๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐ ๐๐ ๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐ ๐๐๐๐๐๐" At ๐๐ซ๐ข๐ฆ๐ฌ๐จ๐ง ๐๐ข๐ฉ๐๐ซ 25, DataShapes AI validated frequency-agnostic detections, classifications, and alerts. We found new signals, learned them, labeled them, and


"๐ต๐ฆ ๐๐ข๐ก๐๐๐๐ก๐๐๐ ๐๐๐ ๐ ๐๐๐๐๐๐๐ ๐ข๐ โ๐๐ค ๐๐๐๐๐๐๐๐ ๐ ๐๐๐ก ๐กโ๐๐๐๐ก๐ ๐๐๐ ๐๐๐๐ ๐๐ ๐๐๐๐ ๐ ๐ข๐๐๐๐๐ก, ๐๐๐๐๐๐๐ก ๐โ๐๐๐๐ ๐๐๐๐ ๐ก๐ ๐กโ๐๐๐ ๐๐๐กโ๐๐๐๐ก๐ฆ ๐๐๐ ๐ ๐ข๐๐ฃ๐๐ฃ๐๐๐๐๐๐ก๐ฆ ๐๐ ๐๐๐๐๐๐ก.


๐๐ญ ๐๐ซ๐ข๐ฆ๐ฌ๐จ๐ง ๐๐ข๐ฉ๐๐ซ ๐๐ ๐ข๐ง ๐๐ก๐๐ข๐ฅ๐๐ง๐, ๐จ๐ฎ๐ซ ๐ญ๐๐๐ฆ ๐๐๐ฆ๐จ๐ง๐ฌ๐ญ๐ซ๐๐ญ๐๐ ๐๐-๐ฉ๐จ๐ฐ๐๐ซ๐๐, ๐ซ๐๐๐ฅ-๐ญ๐ข๐ฆ๐ ๐ฌ๐ฉ๐๐๐ญ๐ซ๐ฎ๐ฆ ๐ข๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ ๐ข๐ง ๐ฅ๐ข๐ฏ๐, ๐๐จ๐ง๐ญ๐๐ฌ๐ญ๐๐ ๐๐ง๐ฏ๐ข๐ซ๐จ๐ง๐ฆ๐๐ง๐ญ๐ฌ. Our team detected, classified, and

