ai
g00g CEO states "blackbox" on its own { The LONE WOLF theory }
is actually M.L.
Machine Learning >>18728781
T{w}ITTER CAUTIONs:
>can no longer Search {within} Twitter - must be SignedUp & LoggedIN
> examples: hashTAGS, "#DemsGotNothing" or "Goldman @RepMattGaetz"
-
ElonMus[h]K t(w)itter has setup a M.L. { Machine.Learning [d]atabase capture for [X].a.i.
> { INTEL_i_gence Gathering / [C]aYe[A] }
> /picrel
USAID - Artificial Intelligence and Machine Learning
Breadcrumb
Home Technology Artificial Intelligence and Machine Learning
[[nid:404301]]
Emerging artificial intelligence and machine learning (AI/ML) applications promise to reshape healthcare, agriculture, economic growth, and democracy in the developing world. By improving efficiency, automating labor-intensive tasks, and finding new insights across large and complex data sets, AI and ML show tremendous potential for helping to achieve sustainable development objectives globally.
At the same time, the very nature of these tools — their ability to codify and reproduce patterns they detect — introduces significant concerns. As the development community adopts ML and AI tools, we need to ensure their application is effective, inclusive, and fair. The following resources take steps to help the development community recognize when AI is a suitable solution, recognize when and where these technologies can do harm, and provide guidance on how to address and mitigate harms that may arise in developing country contexts.
https://www.usaid.gov/digital-development/artificial-intelligence
https://archive.ph/HdXS8
Can Artificial Intelligence Apply Gaming to Military Strategy?
A Game Within a Game
https://www.northropgrumman.com/what-we-do/can-artificial-intelligence-apply-gaming-to-military-strategy/
https://archive.ph/XZQtw
NAIC - Big Data and Artificial Intelligence (H) Working Group
Innovation, Cybersecurity, and Technology (H) Committee
2023 Membership
2023 Adopted Charges
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The Big Data and Artificial Intelligence (H) Working Group will:
A. Research the use of big data and AI including ML in the business of insurance, and evaluate existing regulatory frameworks for overseeing and monitoring their use. Present findings and recommendations to the Innovation, Cybersecurity, and Technology (H) Committee including potential recommendations for development of model governance for the use of big data and AI including ML for the insurance industry.
https://content.naic.org/cmte_h_bdwg.htm
https://archive.ph/gn4Kd
==WHO IS AIVA?
AIVA® is a virtual assistant powered by artificial intelligence and machine learning.
“She” has the ability to mimic cognitive thinking and build expertise over time.
AIVA eliminates the repetitive tasks inherent in today’s loan processing work of income, asset and insurance verification
– saving you time and reducing your operating expenses.
Easy to onboard, AIVA is plug-and-play with any lending platform and can be up and running in a matter of days,
without a substantial upfront investment of capital or resources.
Learn how AIVA can join your team to increase efficiency immediately.
https://www.blackknightinc.com/what-we-do/aiva/
https://archive.ph/1kxk8