Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a first spacer on one side of the of the MTJ, a second spacer on another side of the MTJ, a first metal interconnection on the MTJ, and a liner adjacent to the first spacer, the second spacer, and the first metal interconnection. Preferably, each of a top surface of the MTJ and a bottom surface of the first metal interconnection includes a planar surface and two sidewalls of the first metal interconnection are aligned with two sidewalls of the MTJ.

Abstract: A method includes the following steps. A seed layer is formed over a structure having at least one semiconductor die. A first patterned photoresist layer is formed over the seed layer, wherein the first patterned photoresist layer includes a first opening exposing a portion of the seed layer. A metallic wiring is formed in the first opening and on the exposed portion of the seed layer. A second patterned photoresist layer is formed on the first patterned photoresist layer and covers the metallic wiring, wherein the second patterned photoresist layer includes a second opening exposing a portion of the metallic wiring. A conductive via is formed in the second opening and on the exposed portion of the metallic wiring. The first patterned photoresist layer and the second patterned photoresist layer are removed. The metallic wiring and the conductive via are laterally wrapped around with an encapsulant.

Abstract: An integrated circuit package and a method of forming the same are provided. A method includes forming a first redistribution layer over a carrier, the first redistribution layer including a contact pad and a bond pad. A conductive pillar is formed over the contact pad. A backside surface of an integrated circuit die is attached to the bond pad using a solder joint. An encapsulant is formed along a sidewall of the conductive pillar and a sidewall of the integrated circuit die, a front-side surface of the integrated circuit die being substantially level with a topmost surface of the encapsulant and a topmost surface of the conductive pillar. A second redistribution layer is formed over the front-side surface of the integrated circuit die, the topmost surface of the encapsulant and the topmost surface of the conductive pillar.

Abstract: Proposed is a smart method of providing information about green vegetable juice, the method including: obtaining juice-extraction information which includes information about juice-extraction time of the green vegetable juice, information about weight of the green vegetable juice, and information about ingredients for the green vegetable juice; receiving intake information about the green vegetable juice from a user; calculating change in the weight and freshness of stored green vegetable juice based on the juice-extraction information and the intake information; and generating and displaying a smart button with status information about the stored green vegetable juice based on the calculated change in the weight and freshness of the green vegetable juice. By this method, it is possible to intuitively know the weight and the freshness of the stored green vegetable juice.

Abstract: A method for fabricating semiconductor device includes the steps of forming an inter-metal dielectric (IMD) layer on a substrate, forming a trench in the IMD layer, forming a synthetic antiferromagnetic (SAF) layer in the trench, forming a metal layer on the SAF layer, planarizing the metal layer and the SAF layer to form a metal interconnection, and forming a magnetic tunneling junction (MTJ) on the metal interconnection.

Abstract: A target measurement device is provided. The target measurement device includes a fixing ring, a main body, and a transceiver. The fixing ring has a first surface. The main body is over the first surface of the fixing ring. The transceiver is coupled to the main body. The transceiver is at least movable between a center of the fixing ring to an edge of the fixing ring from a top view perspective. A method for measuring a target is also provided.

Abstract: A method of fabricating a semiconductor chip includes the following steps. A bonding material layer is formed on a first wafer substrate and is patterned to form a first bonding layer having a strength adjustment pattern. A semiconductor component layer and a first interconnect structure layer are formed on a second wafer substrate. The first interconnect structure layer is located. A second bonding layer is formed on the first interconnect structure layer. The second wafer substrate is bonded to the first wafer substrate by contacting the second bonding layer with the first bonding layer. A bonding interface of the second bonding layer and the first bonding layer is smaller than an area of the second bonding layer. A second interconnect structure layer is formed on the semiconductor component layer. A conductor terminal is formed on the second interconnect structure layer.

Abstract: A magnetoresistive random access memory (MRAM), including a bottom electrode layer on a substrate, a magnetic tunnel junction stack on the bottom electrode layer, a top electrode layer on the magnetic tunnel junction stack, and a hard mask layer on said top electrode layer, wherein the material of top electrode layer is titanium nitride, a material of said hard mask layer is tantalum or tantalum nitride, and the percentage of nitrogen in the titanium nitride gradually decreases from the top surface of top electrode layer to the bottom surface of top electrode layer.

Abstract: Described herein are systems and methods for determining if a vehicle is parked. In one example, a system includes a processor, a sensor system, and a memory. Both the sensor system and the memory are in communication with the processor. The memory includes a parking determination module having instructions that, when executed by the processor, cause the processor to determine, using a random forest model, when the vehicle is parked based on vehicle estimated features, vehicle learned features, and vehicle taillight features of the vehicle that are based on sensor data from the sensor system.

Abstract: A method for generating a dense light detection and ranging (LiDAR) representation by a vision system includes receiving, at a sparse depth network, one or more sparse representations of an environment. The method also includes generating a depth estimate of the environment depicted in an image captured by an image capturing sensor. The method further includes generating, via the sparse depth network, one or more sparse depth estimates based on receiving the one or more sparse representations. The method also includes fusing the depth estimate and the one or more sparse depth estimates to generate a dense depth estimate. The method further includes generating the dense LiDAR representation based on the dense depth estimate and controlling an action of the vehicle based on identifying a three-dimensional object in the dense LiDAR representation.

Abstract: A method for controlling an ego vehicle in an environment includes associating, by a velocity model, one or more objects within the environment with a respective velocity instance label. The method also includes selectively, by a recurrent network of the taillight recognition system, focusing on a selected region of the sequence of images according to a spatial attention model for a vehicle taillight recognition task. The method further includes concatenating the selected region with the respective velocity instance label of each object of the one or more objects within the environment to generate a concatenated region label. The method still further planning a trajectory of the ego vehicle based on inferring, at a classifier of the taillight recognition system, an intent of each object of the one or more objects according to a respective taillight state of each object, as determined based on the concatenated region label.

Abstract: Systems, methods, and other embodiments described herein relate to a multi-task model that integrates recurrent models to improve handling of multi-sweep inputs. In one embodiment, a method includes acquiring sensor data from multiple modalities. The method includes separately encoding respective segments of the sensor data according to an associated one of the different modalities to form encoded features using separate encoders of a network. The method includes accumulating, in a detector, sparse features associated with sparse sensor inputs of the multiple modalities to densify the sparse features into dense features. The method includes providing observations according to the encoded features and the sparse features using the network.

Abstract: System, methods, and other embodiments described herein relate to detection of traffic lights corresponding to a driving lane from views captured by multiple cameras. In one embodiment, a method includes estimating, by a first model using images from multiple cameras, positions and state confidences of traffic lights corresponding to a driving lane of a vehicle. The method also includes aggregating, by a second model, the state confidences and a multi-view stereo composition from geometric representations associated with the positions of the traffic lights. The method also includes assigning, by the second model according to the aggregating, a relevancy score computed for a candidate traffic light of the traffic lights to the driving lane. The method also includes executing a task by the vehicle according to the relevancy score.

Abstract: A method for vehicle prediction, planning, and control is described. The method includes separately encoding traffic state information at an intersection into corresponding traffic state latent spaces. The method also includes aggregating the corresponding traffic state latent spaces to form a generalized traffic geometry latent space. The method further includes interpreting the generalized traffic geometry latent space to form a traffic flow map including current and future vehicle trajectories. The method also includes decoding the generalized traffic geometry latent space to predict a vehicle behavior according to the traffic flow map based on the current and future vehicle trajectories.

Abstract: The disclosure generally relates to methods for gathering radar measurements, wherein the radar measurements includes one or more angular uncertainties, generating a two dimensional radar uncertainty cloud, wherein the radar uncertainty cloud includes one or more shaded regions that each represent an angular uncertainty, capturing image data, wherein the image data includes one or more targets within a region of interest, and fusing the two dimensional radar uncertainty cloud with the image data to overlay the one or more regions of uncertainty over a target.

Abstract: A method controlling an ego vehicle in an environment includes determining, via a flow model of a parked vehicle recognition system, a flow between a first representation of the environment and a second representation of the environment. The method also includes determining, via a velocity model of the parked vehicle recognition system, a velocity of a vehicle in the environment based on the flow. The method further includes determining, via a parked vehicle classification model of the parked vehicle recognition system, the vehicle is parked based on the velocity of the vehicle and one or more of features associated with the vehicle and/or the environment. The method still further includes planning a trajectory of the ego vehicle based on determining the vehicle is parked.

Abstract: System, methods, and other embodiments described herein relate to a manner of generating and relating frames that improves the retrieval of sensor and agent data for processing by different vehicle tasks. In one embodiment, a method includes acquiring sensor data by a vehicle. The method also includes generating a frame including the sensor data and agent perceptions determined from the sensor data at a timestamp, the agent perceptions including multi-dimensional data that describes features for surrounding vehicles of the vehicle. The method also includes relating the frame to other frames of the vehicle by track, the other frames having processed data from various times and the track having a predetermined window of scene information associated with an agent. The method also includes training a learning model using the agent perceptions accessed from the track.

Abstract: An electromagnetic interference regulator by use of capacitive parameters of the field-effect transistor for detecting the induced voltage and the induced current of the field-effect transistor to determine whether the operating frequency of the field-effect transistor is within the preset special management frequency of electromagnetic interference. When the basic frequency and the multiplied frequency exceed the limit, the content of the external capacitor unit can be adjusted to assist the products using field-effect transistors to maintain excellent electromagnetic interference adjustment capabilities under various loads, thereby optimizing the characteristics of electromagnetic interference.

Abstract: System, methods, and other embodiments described herein relate to improving the detection of traffic lights associated with a driving lane using a camera instead of map data. In one embodiment, a method includes estimating, from an image using a first model, depth and orientation information of traffic lights relative to a driving lane of a vehicle. The method also includes computing, using a second model, relevancy scores for the traffic lights according to geometric inferences between the depth and the orientation information. The method also includes assigning, using the second model, a primary relevancy score for a light of the traffic lights associated with the driving lane according to the depth and the orientation information. The method also includes executing a control task by the vehicle according to the primary relevancy score and a state confidence, computed by the first model, for the light.

Abstract: An embodiment is a structure including a first fin over a substrate, a second fin over the substrate, the second fin being adjacent the first fin, an isolation region surrounding the first fin and the second fin, a gate structure along sidewalls and over upper surfaces of the first fin and the second fin, the gate structure defining channel regions in the first fin and the second fin, a source/drain region on the first fin and the second fin adjacent the gate structure, and an air gap separating the source/drain region from a top surface of the substrate.