公开(公告)号：US20240311226A1

公开(公告)日：2024-09-19

申请号：US18122204

申请日：2023-03-16

Applicant: Bank of America Corporation

Inventor： Meenakshi Meenakshisundaram ,  Nithya C ,  Rajaram Vijayvergiya ,  Madhumitha S ,  John Iruvanti

IPC: G06F11/07

CPC classification number: G06F11/0793 ,  G06F11/0751 ,  G06F11/079

Abstract: A stand-alone embedded internet of things edge artificial intelligence device (“EIEAC”) may be provided. The EIEAC may be configured to operate independent of the computing device and may be configured to monitor and repair failures occurring at the computing device. The EIEAC may receive computer health data from a client agent application running on the computing device. The EIEAC may include a memory configured to store the computer health data and a battery configured to charge the EIEAC. The EIEAC may include a processor configured to process the computer health data to identify one or more failures using tiny machine learning (“tinyML”). When one or more failures are identified by the processor, the tinyML may be configured to execute instructions on the computer health data for repairing the one or more failures. When unsuccessful, the EIEAC may establish an electronic connection with a remote cloud lookup tower for repairing.

公开(公告)号：US12117896B2

公开(公告)日：2024-10-15

申请号：US18122204

申请日：2023-03-16

Applicant: Bank of America Corporation

Inventor： Meenakshi Meenakshisundaram ,  Nithya C ,  Rajaram Vijayvergiya ,  Madhumitha S ,  John Iruvanti

IPC: G06F11/00 ,  G06F11/07

CPC classification number: G06F11/0793 ,  G06F11/0751 ,  G06F11/079

Abstract: A stand-alone embedded internet of things edge artificial intelligence device (“EIEAC”) may be provided. The EIEAC may be configured to operate independent of the computing device and may be configured to monitor and repair failures occurring at the computing device. The EIEAC may receive computer health data from a client agent application running on the computing device. The EIEAC may include a memory configured to store the computer health data and a battery configured to charge the EIEAC. The EIEAC may include a processor configured to process the computer health data to identify one or more failures using tiny machine learning (“tinyML”). When one or more failures are identified by the processor, the tinyML may be configured to execute instructions on the computer health data for repairing the one or more failures. When unsuccessful, the EIEAC may establish an electronic connection with a remote cloud lookup tower for repairing.