公开(公告)号：US12158533B2

公开(公告)日：2024-12-03

申请号：US17461457

申请日：2021-08-30

Applicant: STMICROELECTRONICS S.r.l. ,  STMICROELECTRONICS INTERNATIONAL N.V.

Inventor： Danilo Pietro Pau ,  Alessandro Cremonesi

IPC: G01S3/04 ,  G01S3/42 ,  H01Q3/02 ,  H01Q21/00

Abstract: A device includes a memory and processing circuitry coupled to the memory. The processing circuitry, in operation, generates an indication of a predicted difference in a direction of arrival (DoA) of a signal using a trained autoregressive model. A predicted indication of a DoA of the signal is generated based on a previous indication of the DoA of the signal and the indication of the predicted difference in the DoA of the signal. The processing circuitry actuates or controls an antenna array based on predicted indications of the DoA of the signal.

公开(公告)号：US20250005319A1

公开(公告)日：2025-01-02

申请号：US18214897

申请日：2023-06-27

Applicant: STMicroelectronics International N.V.

Inventor： Danilo Pietro Pau ,  Biagio MONTARULI ,  Andrea SANTAMARIA

IPC: G06N3/04 ,  G06N3/10

Abstract: Methods, apparatuses, systems, and/or computer program products for using a neural network splitter to split a neural network into slices are provided. A splitter device may receive a neural network. The splitter devices may be connected to one or more other devices. The neural network may be split the neural network into slices to be deployed to the one or more other devices for execution. The neural network splitter may generate and intermediate representation of the neural network. A profiler of the neural network splitter may extract one or more features from the intermediate representation. A classifier may select one or more heuristics of the neural network features. The neural network may then determine one or more slices based on the features, heuristics, and device characteristics of the connected devices. The slices may be generated and deployed to the connected devices for execution.

公开(公告)号：US20240265249A1

公开(公告)日：2024-08-08

申请号：US18105729

申请日：2023-02-03

Applicant: STMicroelectronics International N.V.

Inventor： Danilo Pietro Pau ,  Prem Kumar Ambrose

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Methods, apparatuses, systems, and computer program products for artificial intelligence and machine learning for resource constrained devices and systems, including for classifier learning from a stream of data. A classifier may include a neural network comprised of a plurality of layers with each layer comprised of a plurality of neurons. The neural network may include a hidden layer comprised of a plurality of hidden neurons. In various embodiments, the size of the hidden layer may be constrained and the training of a hidden layer included removing one or more hidden neurons from the hidden layer.