In some embodiments, the present disclosure relates to an integrated chip structure. The integrated chip structure includes an image sensor disposed within a first substrate. A first band-pass filter and a second band-pass filter are disposed on the first substrate. A dielectric structure is disposed on the first substrate. The dielectric structure is laterally between the first band-pass filter and the second band-pass filter and laterally abuts the first band-pass filter and the second band-pass filter.

According to an embodiment, a self-powered sensor comprises at least one first layer emitting light in a preset wavelength band by receiving power from an outside, or receiving the emitted light reflected by an object, at least one second layer receiving light and generating a current, and a plurality of connectors each grown between two adjacent ones of the at least one first layer and the at least one second layer, the plurality of connectors transferring the generated current to the outside or transferring the power received from the outside to the at least one first layer and the at least one second layer.

Some embodiments provide a three-dimensional (3D) circuit structure that has two or more vertically stacked bonded layers with a machine-trained network on at least one bonded layer. As described above, each bonded layer can be an IC die or an IC wafer in some embodiments with different embodiments encompassing different combinations of wafers and dies for the different bonded layers. The machine-trained network in some embodiments includes several stages of machine-trained processing nodes with routing fabric that supplies the outputs of earlier stage nodes to drive the inputs of later stage nodes. In some embodiments, the machine-trained network is a neural network and the processing nodes are neurons of the neural network. In some embodiments, one or more parameters associated with each processing node (e.g., each neuron) is defined through machine-trained processes that define the values of these parameters in order to allow the machine-trained network (e.g., neural network) to perform particular operations (e.g., face recognition, voice recognition, etc.). For example, in some embodiments, the machine-trained parameters are weight values that are used to aggregate (e.g., to sum) several output values of several earlier stage processing nodes to produce an input value for a later stage processing node.

A light emitting diode (LED) pixel for a display including a light emitting structure including at least one active layer and configured to generate light, a first passivation layer covering the light emitting structure, a protection structure disposed on the first passivation layer, a plurality of lower via contacts passing through the first passivation layer and electrically connected to the light emitting structure; and a plurality of upper via contacts passing through the protection structure and electrically connected to the lower via contacts, respectively, in which the lower via contacts and the upper via contacts are disposed outside of the at least one active layer.

Some embodiments provide a three-dimensional (3D) circuit structure that has two or more vertically stacked bonded layers with a machine-trained network on at least one bonded layer. As described above, each bonded layer can be an IC die or an IC wafer in some embodiments with different embodiments encompassing different combinations of wafers and dies for the different bonded layers. The machine-trained network in some embodiments includes several stages of machine-trained processing nodes with routing fabric that supplies the outputs of earlier stage nodes to drive the inputs of later stage nodes. In some embodiments, the machine-trained network is a neural network and the processing nodes are neurons of the neural network. In some embodiments, one or more parameters associated with each processing node (e.g., each neuron) is defined through machine-trained processes that define the values of these parameters in order to allow the machine-trained network (e.g., neural network) to perform particular operations (e.g., face recognition, voice recognition, etc.). For example, in some embodiments, the machine-trained parameters are weight values that are used to aggregate (e.g., to sum) several output values of several earlier stage processing nodes to produce an input value for a later stage processing node.

A semiconductor apparatus includes a channel layer, a barrier layer, a source contact and a drain contact, a first doped group III-V semiconductor, a group III-V semiconductor, and a second doped group III-V semiconductor. The barrier layer is disposed on the channel layer. The source contact and the drain contact are disposed on the channel layer. The first doped group III-V semiconductor is disposed on the barrier layer. The group III-V semiconductor is disposed on the first doped group III-V semiconductor and between the source contact and the drain contact. The second doped group III-V semiconductor is disposed on the group III-V semiconductor and between the source contact and the drain contact. The group III-V semiconductor has a central region covered by the second doped group III-V semiconductor and a peripheral region free from coverage by the second doped group III-V semiconductor.

Provided are a solid-state imaging device, a manufacturing method thereof, and an electronic device that enable improvement of the sensitivity in a near infrared region by a simpler process. A solid-state imaging device includes a first semiconductor layer in which a first photoelectric conversion unit and a first floating diffusion are formed, a second semiconductor layer in which a second photoelectric conversion unit and a second floating diffusion are formed, and a wiring layer including a wiring electrically connected to the first and second floating diffusions. The first semiconductor layer and the second semiconductor layer are laminated, and the wiring layer is formed on a side of the first or second semiconductor layer, the side being opposite to a side on which the first semiconductor layer and the second semiconductor layer face each other.

A light emitting chip including a light emitting structure including first, second, and third light emitting sub-units to emit light of a first color, a second color, and a third color and vertically stacked on each other, and having at least one mesa structure and at least one sidewall having a stepped structure; a plurality of vias electrically connected to the light emitting sub-units, each via has a top surface exposed from the light emitting structure and a bottom surface contacting the light emitting structure, a part of the bottom surfaces of the vias disposed on substantially the same level; and a first passivation layer covering at least a part of the light emitting structure, in which the first passivation layer has a bottom surface exposing the light emitting structure to permit light from the first, second, and third sub-units to be emitted from the light emitting chip.

A photoelectric conversion apparatus includes a first and a second multilayer wiring layer. The first or the second multilayer wiring layer is provided with a first electrode supplied with a first voltage from an outside of the photoelectric conversion apparatus. The first electrode is not connected with a second semiconductor layer.

In some embodiments, the present disclosure relates to an integrated chip structure. The integrated chip structure includes forming a first image sensor element within a first substrate and a second image sensor element within a second substrate. The first image sensor element is configured to generate electrical signals from electromagnetic radiation within a first range of wavelengths and the second image sensor element is configured to generate electrical signals from electromagnetic radiation within a second range of wavelengths. A plurality of deposition processes are performed to form a band-pass filter over the second substrate. The band-pass filter has a plurality of alternating layers of a first material having a first refractive index and a second material having a second refractive index that is less than the first refractive index. The first substrate is bonded to the band-pass filter.