Abstract: Systems and methods for automated resource allocation during a computational simulation are described herein. An example method includes analyzing a set of simulation inputs to determine a first set of computing resources for performing a simulation, and starting the simulation with the first set of computing resources. The method also includes dynamically analyzing at least one attribute of the simulation to determine a second set of computing resources for performing the simulation, and performing the simulation with the second set of computing resources. The second set of computing resources is different than the first set of computing resources.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to project ratings for future broadcasts of media. Disclosed example methods include normalizing, with a processor, audience measurement data corresponding to media exposure data, social media exposure data and programming information associated with a future quarter to determine normalized audience measurement data. Disclosed example methods also include classifying a media asset based on the programming information to determine a media asset classification.

Abstract: A method of medical treatment for transecting a ring trapped on an appendage of a patient is described. The method of medical treatment includes inserting a safety guard between the appendage and a portion of the ring, activating a blade motor to rotate a rotary blade aligned with the safety guard, sensing status readings, and transecting the portion of the ring including automatically directing a safety guard actuator to move the safety guard, based at least in part on the status readings, toward the rotary blade thereby urging the ring into contact with the rotary blade.

Abstract: Provided are aminopyridine compounds and pharmaceutically acceptable compositions thereof which exhibit inhibition activity against certain mutated forms of EGFR.

Abstract: Provided are aminopyridine compounds and pharmaceutically acceptable compositions thereof which exhibit inhibition activity against certain mutated forms of EGFR.

Abstract: A kit of tarsometatarsal joint arthrodesis tools include a metatarsal multi-tool, a first ray multi-tool, a cuneiform cut guide, and a joint compressor-distractor. The metatarsal multi-tool is configured for securement to a first metatarsal establishing an anatomic reference for carrying out a surgical procedure and guiding a surgeon to perform the metatarsal base cut. The first ray multi-tool is configured for securement to the first metatarsal using a fixation method. The first ray multi-tool is also configured to be secured to the medial cuneiform. The cuneiform cut guide is configured for removable attachment to the first ray multi-tool and is configured to guide the surgeon to perform the cuneiform head cut. The compressor-distractor is configured to apply a force to the first ray multi-tool such that the position of the first metatarsal may be adjusted toward or away from the medial cuneiform.

Abstract: An improved data bearing card includes a card body, personalization data unique to the data bearing card, and non-visible production indicia, separate from the personalization data, disposed on the card body and indicative of production-related information not otherwise provided on the data bearing card. The non-visible production indicia may be indicative of a corresponding piece of production equipment and/or an operator thereof utilized in connection with the data bearing card, or of a location of a corresponding region of a sheet assembly from which the corresponding card body was separated during production, or of other production-related information. The non-visible production indicia facilitates remedial action in the event that a defect or near-defect is found in the card body or other components of the data bearing card, and may otherwise facilitate card tracking during the production process.

Abstract: A current observation expressed in natural language is received. Entities in the current observation are extracted. A relevant historical observation is retrieved, which has at least one of the entities in common with the current observation. The current observation and the relevant historical observation are combined as observations. The observations and a template list specifying a list of verb phrases to be filled-in with at least some of the entities are input to a neural network, which can output the template list of the verb phrases filled-in with said at least some of the entities. The neural network can include attention mechanism. A reward associated with the neural network's output can be received and fed back to the neural network for retraining the neural network.

Abstract: Embodiments described herein include receiving an application flow defining logic for triggering automated actions for a candidate post on one or more web-based communication channels. An artificial intelligence (AI) powered web crawler may crawl a set of websites for target content. Responsive to identifying target content, machine learning may be leveraged to identify an entity name for an entity that is a subject of the target content and associate the entity with one or more event categories. Based on the event categories, a segment may be generated at runtime for the application flow where segment membership was not known at the time the application flow was defined or before application runtime.

Abstract: A computer-implemented method of integrating an Artificial Intelligence (AI) planner and a reinforcement learning (RL) agent through AI planning annotation in RL (PaRL) includes identifying an RL problem. A description received of a Markov decision process (MDP) having a plurality of states in an RL environment is used to generate an RL task to solve the RL problem. An AI planning model described in a planning language is received, and mapping state spaces from the MDP states in the RL environment to AI planning states of the AI planning model is performed. The RL task is generated with an AI planning task from the mapping to generate a PaRL task.

Abstract: A method and apparatus for dynamically routing traffic from a first network device to a second network device is described. In one implementation, the method includes sampling one or more qualified packets from an ingress stream using neural network classification criteria, appending a flow encapsulation header with the path information, providing the path information to the path computation engine at user approved time intervals, transmitting the packets to destination network device, and collecting real-time network telemetry data. Real-time network telemetry data is stored in a network health database. When a new network transfer is introduced, the system correctly identifies the characteristics of the transfer, in terms of size, throughput, jitter, latency, loss, and completion times. A corrective action is introduced that inputs the current network health information and transfer characteristics by generating corrective control rules to allow the transfer to be optimally routed (e.g.

Abstract: A ring cutter for transecting a ring trapped on an appendage. The ring cutter includes a body, a motor housed in the body, a blade drivingly connected to the motor, a guard coupled to the body, a guard actuator drivingly connected to the guard and controlling a movement of the guard, a current sensor positioned to sense electrical current associated with the motor, and a processor communicatively coupled to the current sensor and the guard actuator. The blade has a rotation axis and a peripheral cutting edge. The guard is insertable between the ring and the appendage to position the ring between the guard and the blade. The processor is configured to: i) receive, from the current sensor, an electrical current reading associated with the motor, and ii) transmit, to the guard actuator, one or more commands to control the movement of the guard based on the electrical current reading.

Abstract: Methods and systems are provided to insect harvesting. The system may include a tank for holding or growing live insects or both. The tank has an opening on a side portion of the tank, and the opening is positioned higher than a bottom portion of the tank. A negative stimulus device for repelling live insects toward a first direction or point towards the opening on the side portion of the tank is provided. A positive stimulus device is provided, situated at the opening of the tank. A product box for receiving live insects has an opening for receiving the live insects. A slide is coupled with the opening of the product box. In an operative position, the tank is positioned such that the live insects leaving the opening of the tank move down the slide to the opening of the product box.

Abstract: A kit of tarsometatarsal joint arthrodesis tools include a metatarsal multi-tool, a first ray multi-tool, a cuneiform cut guide, and a joint compressor-distractor. The metatarsal multi-tool is configured for securement to a first metatarsal establishing an anatomic reference for carrying out a surgical procedure and guiding a surgeon to perform the metatarsal base cut. The first ray multi-tool is configured for securement to the first metatarsal using a fixation method. The first ray multi-tool is also configured to be secured to the medial cuneiform. The cuneiform cut guide is configured for removable attachment to the first ray multi-tool and is configured to guide the surgeon to perform the cuneiform head cut. The compressor-distractor is configured to apply a force to the first ray multi-tool such that the position of the first metatarsal may be adjusted toward or away from the medial cuneiform.

Abstract: Embodiments described herein include receiving an application flow defining logic for triggering automated actions for a candidate post on one or more web-based communication channels. An artificial intelligence (AI) powered web crawler may crawl a set of websites for target content. Responsive to identifying target content, machine learning may be leveraged to identify an entity name for an entity that is a subject of the target content and associate the entity with one or more event categories. Based on the event categories, a segment may be generated at runtime for the application flow where segment membership was not known at the time the application flow was defined or before application runtime.

Abstract: Techniques regarding explanations for artificial intelligence recommendations are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory.

Abstract: An approach to determine the quality of encodings assigned to a word by a word embedding model. The approach may include determining the asymmetry of two embeddings associated with two words from a word embedding model. The asymmetry of the two words from a preexisting evocation dataset may be determined. The asymmetry of the two embeddings may be compared to the asymmetry from the evocation dataset to generate an encoding quality score.

Abstract: A current observation expressed in natural language is received. Entities in the current observation are extracted. A relevant historical observation is retrieved, which has at least one of the entities in common with the current observation. The current observation and the relevant historical observation are combined as observations. The observations and a template list specifying a list of verb phrases to be filled-in with at least some of the entities are input to a neural network, which can output the template list of the verb phrases filled-in with said at least some of the entities. The neural network can include attention mechanism. A reward associated with the neural network's output can be received and fed back to the neural network for retraining the neural network.

Abstract: An artificial intelligence (AI) platform to support random action replay for natural language (NL) learning. A NL conversation is explored to train a neural network. One or more tuples are leverage for the training, with each tuple representing an input action, a vector, an output action, and a reward value. An action is sampled from the vector, with the sampling including assessment of a corresponding first gradient. The first gradient is applied to selectively adjust the neural network. As NL input is received and applied to the selectively adjusted neural network, an output corresponding to the NL input is identified and a corresponding action is executed.

Abstract: A cooler for holding ice and other items includes a body defining a cavity operable to hold ice and other items, a lid, and a lock operable to hold the lid in an open position. The body has a first region that defines an opening and a second region. The lid is coupled with the second region of the body, and positionable to a closed position and to an open position. The lock includes a first component that extends from the body's second region, and a second component that extends from the lid. The first component and the second component are each configured to contact each other, when the lid is in the open position, to prevent the lid from moving toward the closed position, and to allow the lid to move toward the open position, when the lid is in the closed position.