Abstract: The disclosure herein relates to the development and production of novel antibodies and antigen binding fragments thereof that bind TL1A and that are useful in the treatment, prevention and diagnosis of a disease, disorder or inflammation including, for example, autoimmune diseases including rheumatoid arthritis, inflammatory bowel disease, atopic dermatitis, systemic lupus erythematosus, asthma, ulcerative colitis, Crohn's disease, psoriasis, primary biliary cirrhosis, primary biliary cholangitis, ankylosing spondylitis, and fibrosis including intestinal fibrosis, pulmonary fibrosis, and liver fibrosis. Some of the elements of final antibody structure being designed de novo by a computer system and its data training set without reference to a specific reference molecule.

Abstract: The disclosure herein relates to the development and production of novel antibodies and antigen binding fragments thereof that bind TL1A and that are useful in the treatment, prevention and diagnosis of a disease, disorder or inflammation including, for example, autoimmune diseases including rheumatoid arthritis, inflammatory bowel disease, atopic dermatitis, systemic lupus erythematosus, asthma, ulcerative colitis, Crohn's disease, psoriasis, primary biliary cirrhosis, primary biliary cholangitis, ankylosing spondylitis, and fibrosis including intestinal fibrosis, pulmonary fibrosis, and liver fibrosis. Some of the elements of final antibody structure being designed de novo by a computer system and its data training set without reference to a specific reference molecule.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened; and capturing still images or videos by a camera in the control panel subsequent to determining that the security event has happened. In some implementations, the camera is a forward-facing camera. In some implementations, determining that the security event has happened comprises detecting a motion using the camera in the control panel. In some implementations, determining that the security event has happened comprises receiving a signal indicative of activation of a door switch of a door located next to the control panel. In some implementations, the security event is associated with one or more Bluetooth devices being in range, and determining that the security event has happened comprises using a Bluetooth radio in the control panel to detect the Bluetooth devices.

Abstract: Systems and methods are disclosed relating to the installation of building systems, such as security systems, using machine learning models, such as generative artificial intelligence models. For example, a method can include receiving a prompt indicating inputs from a user that represent components of a building system to be installed. The method can include applying the prompt to a machine learning model comprising at least one transformer, the machine learning model trained using one or more natural language prompts and example system installation data to cause the machine learning model to generate a target layout and installation for the building system. The method can further include presenting the layout for the system using at least one of a display device or an audio output device.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise is indicative of a security event. In some non-limiting implementations, the control panel may be configured to detect events based on various noise detection models, such as continued noise level above a threshold, noise associated with multiple short sharp impacts (e.g., an intruder trying to kick down a door), gunshot detection, voice recognition to identify a request for assistance (e.g., a person asking for help), glass break detection, or detection of a particular standardized pattern of beeps such as the temporal-three pattern of a smoke detector going off (according to ISO 8201 and ANSI/ASA S3.41 Temporal Pattern), the temporal-four pattern of a carbon monoxide detector going off, etc.

Abstract: Systems and methods are disclosed relating to machine learning systems and methods for building automation and security systems. A system can include one or more processors configured to detect a condition regarding an item of equipment; generate, using at least one machine learning model and based on at least one of the condition or an identifier of the item of equipment, an output corresponding to the condition and to the item of equipment, the at least one machine learning model configured using training data comprising unstructured data regarding items of equipment; and present, using at least one of a display device and an audio output device, the output. The one or more processors can generate a user interface for presenting the output according to at least one of an identifier of a user and historical interactions of the user with the user interface or the item of equipment.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened; and capturing still images or videos by a camera in the control panel subsequent to determining that the security event has happened. In some implementations, the camera is a forward-facing camera. In some implementations, determining that the security event has happened comprises detecting a motion using the camera in the control panel. In some implementations, determining that the security event has happened comprises receiving a signal indicative of activation of a door switch of a door located next to the control panel. In some implementations, the security event is associated with one or more Bluetooth devices being in range, and determining that the security event has happened comprises using a Bluetooth radio in the control panel to detect the Bluetooth devices.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a short range communication radio in a control panel, a short range communication signal transmitted by a device; determining, by the control panel, whether the device is a known device; and automatically disarming the control panel responsive to recognizing the device as the known device.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise is indicative of a security event. In some non-limiting implementations, the control panel may be configured to detect events based on various noise detection models, such as continued noise level above a threshold, noise associated with multiple short sharp impacts (e.g., an intruder trying to kick down a door), gunshot detection, voice recognition to identify a request for assistance (e.g., a person asking for help), glass break detection, or detection of a particular standardized pattern of beeps such as the temporal-three pattern of a smoke detector going off (according to ISO 8201 and ANSI/ASA S3.41 Temporal Pattern), the temporal-four pattern of a carbon monoxide detector going off, etc.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a control panel of a security or automation system of a premises, an indication of an update in a configuration of a router that is configured to support an Internet protocol “IP” network at the premises; and updating the configuration of the router by the control panel in response to receiving the indication.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened, wherein the security event is associated with a user identification or authentication; capturing one or more still images or videos by at least one camera in the control panel subsequent and in response to determining that the security event has happened; and using the one or more still images or videos to perform facial recognition.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a short range communication radio in a control panel, a short range communication signal transmitted by a device; determining, by the control panel, whether the device is a known device; and automatically disarming the control panel responsive to recognizing the device as the known device.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened, wherein the security event is associated with a user identification or authentication; capturing one or more still images or videos by at least one camera in the control panel subsequent and in response to determining that the security event has happened; and using the one or more still images or videos to perform facial recognition.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a processor of at least one sensor device, a signal from a sensor element of the at least one sensor device, wherein the sensor element is configured to sense a physical phenomenon, wherein the signal is indicative of the physical phenomenon as sensed by the sensor element; determining, by the processor of the at least one sensor device, whether a level of the signal is indicative of an alarm condition; and using a cellular radio of the at least one sensor device to send a notification directly to a cloud system in response to the level of the signal being indicative of the alarm condition.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise includes an acoustic signature associated with a security event. In some implementations, the security event may comprise a glass break event. In some implementations, the acoustic signature may comprise a first sound followed by subsequent sounds. The first sound may comprise a thump sound, and the subsequent sounds may comprise crashing sounds.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a control panel of a security or automation system of a premises, an indication of an update in a configuration of a router that is configured to support an Internet protocol “IP” network at the premises; and updating the configuration of the router by the control panel in response to receiving the indication.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a short range communication radio in a control panel, a short range communication signal transmitted by a device; determining, by the control panel, whether the device is a known device; and automatically disarming the control panel responsive to recognizing the device as the known device.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising capturing visual or audio data using at least one camera or microphone in a control panel; performing, by a processor of the control panel, at least one of a voice recognition or a facial recognition, based on the visual or audio data captured by the at least one camera or microphone in the control panel; recognizing an individual according to at least one of the voice recognition or the facial recognition; and presenting, on a display of the control panel, a graphical user interface that includes features associated with the individual.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising monitoring, by a control panel, an ambient noise via one or more microphones in the control panel. The implementations further include determining, by the control panel, whether the ambient noise includes an acoustic signature associated with a security event. In some implementations, the security event may comprise a glass break event. In some implementations, the acoustic signature may comprise a first sound followed by subsequent sounds. The first sound may comprise a thump sound, and the subsequent sounds may comprise crashing sounds.

Abstract: Example implementations include a method, apparatus, and computer-readable medium comprising receiving, by a processor of at least one sensor device, a signal from a sensor element of the at least one sensor device, wherein the sensor element is configured to sense a physical phenomenon, wherein the signal is indicative of the physical phenomenon as sensed by the sensor element; determining, by the processor of the at least one sensor device, whether a level of the signal is indicative of an alarm condition; and using a cellular radio of the at least one sensor device to send a notification directly to a cloud system in response to the level of the signal being indicative of the alarm condition.