Pearl Cohen UK

A system and method for generating an alarm response agent application, the method including: receiving the at least one reasoning from the human user for non-resolution of the first alarm; reproducing the at least one reasoning for non-resolution of the first alarm, wherein when the at least one reasoning for non-resolution of the first alarm is reproducible, record the at least one reasoning for non-resolution of the first alarm and suppress the first alarm; receiving a request from the human user to suppress a second alarm when the at least one reasoning for non-resolution of the first alarm is identified from event data of the second alarm; creating an event-specific suppression agent application to suppress the second alarm when the at least one reasoning for non-resolution of the first alarm is reproducible from event data for the second alarm.

A system and method for contextual security analysis for software artifacts, including, for each of a plurality of software vulnerabilities, where each software vulnerability is associated with a vulnerable function included in a vulnerable library: identifying third party libraries using the vulnerable library; flagging third party libraries including a function reaching the vulnerable function as vulnerable - by associating the identified third party libraries with the software vulnerability; and flagging first party libraries matching a flagged third party library as vulnerable. According to some embodiments, flagged libraries may be described in dedicated database entries stored in cache memory, which may be used to enhance computational efficiency and robustness in performing security analysis on software artifacts (such as, e.g., large codebases pointing to external libraries, and the like).

A system and method for video selection and labelling including: receiving from the human operator a selection of first data items from the plurality of data items within the first video assembly; identifying second video assemblies comprising a sequence of frames and second data items, wherein the second data items are similar to the selection of the first data items; generating one or more candidate video assemblies comprising a sequence of frames, wherein the sequence of frames comprises a subset of the frames and data items from the second video assemblies which have been identified to be similar to the first data items, and a natural language label describing the sequence of frames; and presenting the human operator the one or more candidate video assemblies to receive feedback on the generated labels.

A system and method for generating a federated machine learning (ML) model comprising: distributing, by a software agent executed by a computing device, a first machine learning model to a plurality of user devices, wherein the software agent provides the plurality of user devices with instructions for the training of the first ML model; each of the plurality of user devices, training the first ML model individually by submitting to the first ML model labelled user data sets, wherein the training of the ML model proceeds according to the instructions provided by the software agent; receiving, by the computing device, the individually trained first ML models, and identifying whether the ML models have been trained according to the software agent's instructions; and combining the individually trained first ML models to create a federated ML model which has been trained according to the software agent's instructions.

Systems and methods of identifying an owner of a software component that contains a risk in a software package, include: generating a list of software components included in the software package; adding metadata to the software package with enrichment information identifying entities participating in development of the software components from resources external to the software package; identifying dependencies between one or more software components of the software package; and upon determining a risk in one or more of the software components, identifying a risk introducer entity from amongst the entities.

A capsule for appetite suppression comprises an outer layer adapted to persist in a stomach environment and an inner volume enclosed by the outer layer. The outer layer may include a semipermeable membrane that allows interaction with stomach contents, enhancing the sensation of fullness. The capsule is designed to occupy space in the stomach, thereby reducing available volume for food intake. A kit may include multiple capsules and means for filling the inner volume with substances such as water or low-calorie liquids. The method involves swallowing an operative number of capsules to achieve the desired appetite-suppressing effect. The capsules are made from materials commonly used in slow-release drug delivery systems, ensuring safety and biocompatibility.

A system and method for detecting fraud may scan (e.g. by computer server) a target website provided by another server to identify products provided by the website. Based on the scanning, a process may calculate probabilities for combinations of the identified products, where a cost for each combination equals a cost of a new transaction to take place at the target website, and generate an authentication score for the transaction based on the calculated probabilities.

A system and method for secure decryption of an encrypted message, including: by each computer system of a plurality of computer systems, computing a decryption share of the encrypted message using a private share of a secret decryption key; by each computer system, computing a modified decryption share by removing a noise share from the decryption share; and recovering, by one or more of the computer systems, a decryption or plaintext of the encrypted message by aggregating the modified decryption shares without exposing or transmitting the noise shares or noise components between computer systems. In some embodiments, the removal of the noise share may include modular reduction operations, where each computer system masks its respective decryption share to produce a masked share, and where outputs from a plurality of lookup tables are aggregated based on the masked shares using a secure multi-party computation (MPC) protocol.

Biostimulant compositions and methods for enhancing soil organic carbon are provided. A mixture of bioavailable B12 and amino acids phenylalanine (Phe) and lysine (Lys) - was found to enhance soil organic carbon and crop growth due to synergistic effects between the bioavailable B12 and the PheLys. The bioavailable B12 and the PheLys may be derived from various sources, including, e.g., cyanobacteria (e.g., spirulina - Arthrospira platensis) or green algae (e.g., Nannochloropsis spp.) cultivated under photosynthetically controlled conditions to yield upregulated bioactive compounds such as bioavailable B12 and amino acids. One or more sources may be used to provide the bioavailable B12, Phe and Lys, and algal cultivation may be integrated with additional industries to yield synergistic biostimulation effects.

A wireless mesh data network composed principally of Unmanned Aerial Vehicle (UAV)-platformed nodes intercommunicating via hybrid links utilizing Radio Frequency (RF) and/or Free Space Optical (FSO) data communications, and provided with novel features and capabilities for acquiring, maintaining, and recovering Line-Of-Sight (LOS) between communicating nodes. FSO communications are preferred for high bandwidth and security, but it is not always possible to provide Line-Of-Sight (LOS) between communicating nodes, as required by FSO, because of obstruction by natural and artificial features of the environment. The provided novel features and capabilities of the invention optimize and enhance the overall network LOS status.