Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: A hidden lighting lamp uses a color conversion material and is applied to a vehicle. A color conversion member is spaced apart from a light source by a light source air gap (La) such that the color conversion member is integrally engaged with a lens for projecting light of the light source to the outside or such that the color conversion member is spaced apart from the lens by a lens air gap (Lb). Hidden lighting without deterioration of optical efficiency of LED light from the light source is thereby implemented. One or more of a black painting, a coating layer, an application layer, and a deposition layer are provided, thereby providing concealment of the lamp inner space of the lens, anti-peeling of a deposit, and diversity of fluorescent color.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: An apparatus for detecting a crack of a semiconductor chip may include a crack sensor including a charging pattern disposed on a first surface of a target layer in which cracks are to be detected, a charge sinking pattern disposed on a second surface of the target layer, and a connecting pattern that electrically connects the charging pattern to the charge sinking pattern. The apparatus for detecting a crack may further include a charger for charging electric charges to the charging pattern, an image detector for obtaining an image of the charging pattern, and a determination unit that detects a discolored charging pattern from the image of the charging pattern and determines that a crack has occurred in a portion of the target layer in which the discolored charging pattern is located.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Abstract: Provided is an electrical property measuring device capable of increasing reliability of evaluation of electrical properties of 3D structures such as living tissues and biomimetic structures and simplifying a measurement process by improving an ion concentration gradient caused by an ion concentration polarization phenomenon. The electrical property measuring device includes an ion-selective permeable membrane having a porous structure; and a non-uniform microchannel spaced apart from the ion-selective permeable membrane and including a plurality of parallelly arranged flow channels through which a fluid passes, wherein cross-sectional areas of the flow channels are different.

Abstract: An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

Abstract: The present disclosure provides a razor blade coating by a physical vapor deposition method through performing a deposition with a single composite target composed of dissimilar materials with their area ratio defined to be varied in the single composite target in the direction of transferring the razor blade subject to the deposition, thereby forming a single layer in which the composition ratio of the dissimilar materials gradually changes in the thickness direction of the coating layer to improve the durability of the razor blade coating layer.

Abstract: The present disclosure provides an improvement to razor blade coating by a physical vapor deposition method, by forming a hard coating layer as a thin coating layer in which chromium boride, which is a nanocrystalline structure having high hardness, is dispersed in an amorphous mixture of chromium and boron, thereby improving the strength and hardness of the thin coating layer and securing the bonding force by chromium in the amorphous mixture between the hard coating layer and a blade substrate on which an edge of the razor blade is formed.

Abstract: Disclosed are a method of operating a selector device, a method of operating a nonvolatile memory apparatus to which the selector device is applied, an electronic circuit device including the selector device, and a nonvolatile memory apparatus. The method of operating the selector device controls access to a memory element, and includes providing the selector device including a switching layer and first and second electrodes disposed on both surfaces of the switching layer, which includes an insulator and a metal element, and applying a multi-step voltage pulse to the switching layer via the first and second electrodes to adjust a threshold voltage of the selector device, the multi-step voltage pulse including a threshold voltage control pulse and an operating voltage pulse. The operating voltage pulse has a magnitude for turning on the selector device, and the threshold voltage control pulse has a lower magnitude lower than the operating voltage pulse.

Abstract: In one example, a semiconductor device comprises a spacer substrate, a first lens substrate over the first spacer substrate, and a lens protector over the first lens dielectric adjacent to the first lens. The spacer substrate comprises a spacer dielectric, a spacer top terminal, a spacer bottom terminal, and a spacer via. The first lens substrate comprises a first lens dielectric, a first lens, a first lens top terminal, a first lens bottom terminal, and a first lens via. A first interconnect is coupled with the spacer top terminal and the first lens bottom terminal. Other examples and related methods are also disclosed herein.