Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. Example instructions cause one or more processors to generate an event vector based on one or more counts corresponding to tasks performed by a central processing unit; determine distances between the event vector and weight vectors of neurons in a self-organizing map; select a neuron of the neurons that results based on a determined distance; identify neurons that neighbor the selected neuron; and update at least one of a weight vector of the selected neuron or weight vectors of the neighboring neurons based on the determined distance of the selected neuron.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus at least one memory; instructions; and processor circuitry to execute the instructions to: determine a danger level associated with an object, the danger level indicative of a first measure of damage corresponding to a trajectory of the object compared to a trajectory of a vehicle; determine, based on the first danger level, a danger measure based on at least one of a position of the object, a velocity of the object, an acceleration of the object, a direction of travel of the object, a weight or mass of the object; and generate instructions to transmit to a steering system or a braking system of the vehicle based on the determination.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.

Abstract: The techniques described herein may provide techniques to detect, categorize, and diagnose synchronization issues that provide improved performance and issue resolution. For example, in an embodiment, a method may comprise detecting occurrence of synchronization performance problems in software code, when at least some detected synchronization performance problems occur when a contention rate for software locks is low, determining a cause of the synchronization performance problems, and modifying the software code to remedy the cause of the synchronization performance problems so as to improve synchronization performance of the software code.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to analyze vehicle perspectives, the apparatus comprising a profile generator to generate a first profile of an environment based on a profile template and first data generated by a first vehicle; a data analyzer to: determine a difference between the first profile and a second profile obtained from a first one of one or more nodes in the environment; and in response to a trigger event, update the first profile based on the difference; and a vehicle control system to: in response to the trigger event, update a first perspective of the environment based on one or more of second data from the first one of the one or more nodes or the updated first profile; update a path plan for the first vehicle based on the updated first perspective; and execute the updated path plan.

Abstract: Methods, apparatus, systems and articles of manufacture to recommend instruction adaptations to improve compute performance are disclosed. An example apparatus includes a pattern detector to detect an execution pattern from an execution profile provided by a server, the execution profile associated with an instruction stored in an instruction repository. An adaptation identifier is to identify a possible instruction adaptation that may be applied to the instruction associated with the execution pattern. A model processor is to predict, using a machine learning model, an expected performance improvement of the adaptation. A result comparator is to determine whether the expected performance improvement meets an threshold. An instruction editor is to, in response to the result comparator determining that the expected performance improvement meets the threshold, apply the possible instruction adaptation to the instruction in the instruction repository.

Abstract: The techniques described herein may provide techniques to detect, categorize, and diagnose synchronization issues that provide improved performance and issue resolution. For example, in an embodiment, a method may comprise detecting occurrence of synchronization performance problems in software code, when at least some detected synchronization performance problems occur when a contention rate for software locks is low, determining a cause of the synchronization performance problems, and modifying the software code to remedy the cause of the synchronization performance problems so as to improve synchronization performance of the software code.

Abstract: Apparatus, systems, articles of manufacture, and methods for a context and complexity-aware recommendation system for efficient software development.

Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. Example instructions cause one or more processors to generate an event vector based on one or more counts corresponding to tasks performed by a central processing unit; determine distances between the event vector and weight vectors of neurons in a self-organizing map; select a neuron of the neurons that results based on a determined distance; identify neurons that neighbor the selected neuron; and update at least one of a weight vector of the selected neuron or weight vectors of the neighboring neurons based on the determined distance of the selected neuron.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for code review assistance for dynamically typed languages. An example apparatus to analyze a segment of code includes a function identifier to identify a first input of a first function call included in the segment of the code, a parameter type vector (PTV) estimator model to estimate a first data structure based on the first input, the PTV estimator model generated via a set of reviewed code, a PTV determiner to generate a second data structure based on a data parameter type of the first input, an error comparator to determine a first reconstruction error based on the first data structure, and the second data structure and a recommendation generator to, if the first reconstruction error does not satisfy a recommendation threshold, generate a first recommendation to review the first function call.

Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. An example apparatus includes a vector-to-neuron processor to map an event vector to a neuron of a trained self-organizing map; a buffer processor to identify a task pair based on the neuron and an adjacent neuron of the neuron; a buffer to store data corresponding to the identified task pair; an attack identifier to, when information stored in the buffer corresponds to more than a threshold number of task pairs corresponding to the identified task pair, identify a malware attack; and a mitigation technique selector to select a technique for mitigating the malware attack.

Abstract: An apparatus includes a software parser to generate a plurality of abstract syntax trees based on a plurality of software files, the ASTs including subtrees corresponding to a plurality of functions of the software files, a subtree encoder to generate a plurality of code vectors representative of one or more semantic properties of the subtrees, a function identifier to determine a plurality of clusters for the subtrees and assign a cluster identifier and a function label to the subtrees, a tree database to store the subtrees and map the plurality of subtrees to respective ones of cluster identifiers and function names, and a processor to: train a model based on a feature vector and the plurality of clusters stored in the tree database and predict the cluster identifier for the subtrees, based on the trained model, to identify a name of the function.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example system includes a memory accessed by a program of interest, a performance monitoring unit to collect first memory access information and second memory access information about an object accessed in the memory by the program of interest; and a leak detector to: determine a non-access period based on the first memory access information and an unsupervised machine learning model trained based on the program of interest; and detect a potential memory leak of the program of interest based on the second memory access information and the non-access period.

Abstract: An apparatus includes a data interface to obtain first sensor data from a first sensor and second sensor data from a second sensor of a monitored system; a data analyzer to extract a feature based on analyzing the first and second sensor data using a model, the model trained based on historical sensor data, the model to determine the feature as a deviation between the first and second sensor data to predict a future malfunction of the monitored system; an anomaly detector to detect an anomaly in at least one of the first sensor data or the second sensor data based on the feature, the anomaly corresponding to the future malfunction of the monitored system; and a system applicator to modify operation of the monitored system based on the anomaly.

Abstract: Apparatus, systems, articles of manufacture, and methods for a context and complexity-aware recommendation system for efficient software development.

Abstract: Example apparatus and methods for program synthesis using genetic algorithms are disclosed herein. An example apparatus includes a program length predictor to predict a length of a first program by executing a first neural network model, a program generator to generate a candidate program having a length corresponding to the predicted length, a candidate program analyzer to generate a fitness score for the candidate program by executing a second neural network model and to identify the first candidate program for use in a breeding operation relative a second candidate program based on the fitness score, and a genetic program generator to perform the breeding operation with at least one of the first candidate program or the second candidate program to generate an evolved candidate program.

Abstract: An apparatus includes a software parser to generate a plurality of abstract syntax trees based on a plurality of software files, the ASTs including subtrees corresponding to a plurality of functions of the software files, a subtree encoder to generate a plurality of code vectors representative of one or more semantic properties of the subtrees, a function identifier to determine a plurality of clusters for the subtrees and assign a cluster identifier and a function label to the subtrees, a tree database to store the subtrees and map the plurality of subtrees to respective ones of cluster identifiers and function names, and a processor to: train a model based on a feature vector and the plurality of clusters stored in the tree database and predict the cluster identifier for the subtrees, based on the trained model, to identify a name of the function.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for code review assistance for dynamically typed languages. An example apparatus to analyze a segment of code includes a function identifier to identify a first input of a first function call included in the segment of the code, a parameter type vector (PTV) estimatior model to estimate a first data structure based on the first input, the PTV estimatior model generated via a set of reviewed code, a PTV determiner to generate a second data structure based on a data parameter type of the first input, an error comparator to determine a first reconstruction error based on the first data structure, and the second data structure and a recommendation generator to, if the first reconstruction error does not satisfy a recommendation threshold, generate a first recommendation to review the first function call.