公开(公告)号：US20240121164A1

公开(公告)日：2024-04-11

申请号：US17961298

申请日：2022-10-06

Applicant: MELLANOX TECHNOLOGIES, LTD.

Inventor： Gil Levy ,  Ran Sandhaus ,  Shie Mannor

IPC: H04L41/16 ,  G06N5/02 ,  H04L47/2441

CPC classification number: H04L41/16 ,  G06N5/022 ,  H04L47/2441

Abstract: A network device, system-on-a-chip, and method of performing packet handling are described. A packet is received, and data associated with the packet is processed, using a configurable artificial intelligence engine, to generate a size classification for a flow associated with the packet. An action is performed based, at least in part, on the size classification for the flow associated with the packet.

公开(公告)号：US20240244228A1

公开(公告)日：2024-07-18

申请号：US18096430

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/149 ,  H04N19/172

CPC classification number: H04N19/149 ,  H04N19/172

Abstract: A system includes a processing device to receive video content and output encoded video of the video content for a client video device. The system includes a controller coupled to the processing device, the controller programmed with machine instructions to receive, from a video encoder while encoding the video content, frame statistics based on one or more encoded frames of the video content corresponding to a current frame. The machine instructions further generate a first quantization parameter (QP) value for the current frame using a frame machine learning model, wherein the frame machine learning model includes states that depend on the frame statistics. The machine instructions further provide the first QP value to the video encoder for rate control of the frame encoding of the current frame.

公开(公告)号：US20230139081A1

公开(公告)日：2023-05-04

申请号：US17518057

申请日：2021-11-03

Applicant: Mellanox Technologies Ltd.

Inventor： Tamar Viclizki ,  Vadim Gechman ,  Henning Lysdal ,  Shie Mannor

IPC: G01R31/66 ,  G06N7/00

Abstract: System and method for detecting cable anomalies including collecting a first set cable measurement data. The first set of cable measurement data may be used to create a model including one or more groups based on the collected first set of cable measurement data. Collecting a second set of cable measurement data and determine a probability of anomaly for cable measurement data of the second set of cable measurement data, the probability of anomaly based on the deviation of the cable measurement data from one or more groups of the model.

公开(公告)号：US20240244227A1

公开(公告)日：2024-07-18

申请号：US18096424

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/149 ,  H04N19/154 ,  H04N19/172

CPC classification number: H04N19/149 ,  H04N19/154 ,  H04N19/172

Abstract: A system includes a processing device to receive a video content, a quality metric, and a target bit rate for encoding the video content. The system includes encoding hardware to perform frame encoding on the video content and a controller coupled between the processing device and the encoding hardware. The controller is programmed with machine instructions to generate first QP values on a per-frame basis using a frame machine learning model with a first plurality of weights. The first plurality of weights depends at least in part on the quality metric and the target bit rate. The controller is further programmed to provide the first QP values to the encoding hardware for rate control of the frame encoding.

公开(公告)号：US20240244225A1

公开(公告)日：2024-07-18

申请号：US18096428

申请日：2023-01-12

Applicant: Mellanox Technologies, Ltd.

Inventor： Eshed Ram ,  Dotan David Levi ,  Assaf Hallak ,  Shie Mannor ,  Gal Chechik ,  Eyal Frishman ,  Ohad Markus ,  Dror Porat ,  Assaf Weissman

IPC: H04N19/147 ,  H04N19/124 ,  H04N19/172

CPC classification number: H04N19/147 ,  H04N19/124 ,  H04N19/172

Abstract: A system includes a processing device to receive video content, metadata related to the video content, and a target bit rate for encoding the video content. The processing device further detects a content type of the video content based on the metadata and encodes hardware to perform frame encoding on the video content. The system further includes a controller coupled between the processing device and the encoding hardware. The controller is programmed with machine instructions to generate first QP values on a per-frame basis using a frame machine learning model with a first plurality of weights. The first plurality of weights depends at least in part on the content type and the target bit rate. The controller further provides the first QP values to the encoding hardware for rate control of the frame encoding.

公开(公告)号：US20240086527A1

公开(公告)日：2024-03-14

申请号：US18120807

申请日：2023-03-13

Applicant: Mellanox Technologies, Ltd.

Inventor： Nir Rosen ,  Katya Egert-Berg ,  Rami Ailabouni ,  Ohad Peres ,  Elad Haimovich ,  Vadim Gechman ,  Haim Elisha ,  Adi Peled ,  Chen Rozenbaum ,  Ahmad Saleh ,  Shie Mannor

IPC: G06F21/55 ,  G06F21/52 ,  G06F21/56

CPC classification number: G06F21/554 ,  G06F21/52 ,  G06F21/566 ,  G06F2221/034

Abstract: Apparatuses, systems, and techniques of using one or more circuits (e.g., of a network interface) to obtain assembly code for one or more machine code segments loaded and/or injected into a process, and determine whether the assembly code is likely to perform at least one unauthorized task.