Abstract: In an example, a method for adapting a machine learning model includes receiving first input data; choosing a first set of unlabeled textual spans in the first input data, wherein the chosen first set of unlabeled textual spans is associated with a first domain; labeling the chosen first set of unlabeled textual spans to generate a labeled first set of textual spans; categorizing the labeled first set of textual spans to generate a categorized labeled first set of textual spans; receiving second input data; choosing a second set of unlabeled textual spans, wherein the second set of unlabeled textual spans is associated with a second domain; and adapting the machine learning model to the second domain based on the categorized second set of unlabeled textual spans that is generated based on the categorized labeled first set of textual spans.

Abstract: In general, the disclosure describes techniques for obtaining, by a computing system, a content item and a purported source for the content item, wherein the content item may include multimodal data. The techniques may further include generating, by the computing system, a plurality of modality feature vectors representative of the multimodal data, wherein each of the generated modality feature vectors has a different, corresponding modality feature. The techniques may further include mapping, by the computing system, the generated modality feature vectors based on a statistical distribution associated with the purported source. The techniques may further include determining, by the computing system, a score based on the mapping. The techniques may further include outputting, by the computing system and based on the score, an indication of whether the content item originated from the purported source.

Abstract: In general, the disclosure describes techniques for Artificial Intelligence (AI) models that can automatically generate diverse, explainable, interpretable, reactive, and coordinated behaviors for a team. In an example, a method includes receiving multimodal input data within a simulator configured to simulate solving a predefined problem by a team including a plurality of agents; generating one or more generative neural network models based on the multimodal input data and based on a predetermined threshold of success of problem solving in the simulator; outputting, by the one or more generative neural network models, one or more multi-agent controllers, wherein each of the one or more multi-agent controllers comprises recommended behaviors for each of the plurality of agents to solve the predefined problem in a manner that is consistent with the multimodal input data.

Abstract: A CO2 monitoring system (20) is described which is operable to monitor the CO2 content of respiratory gases during intubation, CPR, or ventilation treatment of a patient. The patient's respiratory gases are sensed for CO2 content (17) and characteristics of a CO2 waveform are detected (30), such as waveform baseline, waveform amplitude, waveform frequency, waveform slope, waveform rhythm, and waveform corners. One or more of the waveform characteristics are analyzed in consideration of the type of respiration treatment being performed to identify an abnormal respiratory condition. These abnormal conditions may include the intubation tube located in the esophagus, ineffective CPR, or an airway obstruction, for example. When an abnormal condition is identified (34) a visual or audible alarm (40) is issued to alert a caregiver to tend to the patient.

Abstract: A combined future lottery and optional instant game uses a central computer connected on-line with multiple game terminals. The player chooses: 1) a first set of at least one game piece, typically numbers, at one of the game terminals and 2) whether or not to play an instant game. The central computer receives the selections, and stores them. If an optional instant game is selected, the central computer acquires a random second set of at least one number and transmits it to the game terminal. A ticket, whether printed at the terminal or displayed, includes the first and second sets of number(s) and an indication of whether the optional game was selected for play. Matching of one or more numbers in the first and second sets results in a win in any of a variety of numbers games and lotto games. The first selected set of numbers is also used in a future lottery such as a weekly draw lottery.

Abstract: A combined future lottery and optional instant game uses a central computer connected on-line with multiple game terminals. The player chooses: 1) a first set of at least one game piece, typically numbers, at one of the game terminals and 2) whether or not to play an instant game. The central computer receives the selections, and stores them. If an optional instant game is selected, the central computer acquires a random second set of at least one number and transmits it to the game terminal. A ticket, whether printed at the terminal or displayed, includes the first and second sets of number(s) and an indication of whether the optional game was selected for play. Matching of one or more numbers in the first and second sets results in a win in any of a variety of numbers games and lotto games. The first selected set of numbers is also used in a future lottery such as a weekly draw lottery.

Abstract: A CO2 monitoring system (20) is described which is operable to monitor the CO2 content of respiratory gases during intubation, CPR, or ventilation treatment of a patient. The patient's respiratory gases are sensed for CO2 content (17) and characteristics of a CO2 waveform are detected (30), such as waveform baseline, waveform amplitude, waveform frequency, waveform slope, waveform rhythm, and waveform corners. One or more of the waveform characteristics are analyzed in consideration of the type of respiration treatment being performed to identify an abnormal respiratory condition. These abnormal conditions may include the intubation tube located in the esophagus, ineffective CPR, or an airway obstruction, for example. When an abnormal condition is identified (34) a visual or audible alarm (40) is issued to alert a caregiver to tend to the patient.

Abstract: A combined future lottery and optional instant game uses a central computer connected on-line with multiple game terminals. The player chooses: 1) a first set of at least one game piece, typically numbers, at one of the game terminals and 2) whether or not to play an instant game. The central computer receives the selections, and stores them. If an optional instant game is selected, the central computer acquires a random second set of at least one number and transmits it to the game terminal. A ticket, whether printed at the terminal or displayed, includes the first and second sets of number(s) and an indication of whether the optional game was selected for play. Matching of one or more numbers in the first and second sets results in a win in any of a variety of numbers games and lotto games. The first selected set of numbers is also used in a future lottery such as a weekly draw lottery.

Abstract: A combined future lottery and optional instant game uses a central computer connected on-line with multiple game terminals. The player chooses: 1) a first set of at least one game piece, typically numbers, at one of the game terminals and 2) whether or not to play an instant game. The central computer receives the selections, and stores them. If an optional instant game is selected, the central computer acquires a random second set of at least one number and transmits it to the game terminal. A ticket, whether printed at the terminal or displayed, includes the first and second sets of number(s) and an indication of whether the optional game was selected for play. Matching of one or more numbers in the first and second sets results in a win in any of a variety of numbers games and lotto games. The first selected set of numbers is also used in a future lottery such as a weekly draw lottery.