Micron Technology Incorporated

Boise State University

Madison E Wale

Bhumika Chhabra

Elsie De La Garza Villarreal

Claudia A Delaney

Owen R Fay

James L Voelz

Dylan W Southern

Dustin L Holloway

Barbara L Casey

Jaremy Creechley

Trevor Lujan

Sean Nelson

Danielle Siegel

Sri Divya Deenadayalan

Surabhi Anurag

Methods, devices, and systems associated with identifying data to transform are described. A method can include receiving, at a model stored on a computing device, data comprising a number of images, receiving, at the model, an input from a user, identifying, via the model, a number of attributes based on the input from the user, and identifying, via the model, a portion of an image of the number of images including at least one of the number of attributes to transform.

Identifying data in a number of images to transform with identification of a blank and colored portions

Semiconductor devices having redistribution structures, and associated systems and methods, are disclosed herein. In some embodiments, a semiconductor assembly comprises a die stack including a plurality of semiconductor dies, and a routing substrate mounted on the die stack. The routing substrate includes an upper surface having a redistribution structure. The semiconductor assembly also includes a plurality of electrical connectors coupling the redistribution structure to at least some of the semiconductor dies. The semiconductor assembly further includes a controller die mounted on the routing substrate. The controller die includes an active surface that faces the upper surface of the routing substrate and is electrically coupled to the redistribution structure, such that the routing substrate and the semiconductor dies are electrically coupled to the controller die via the redistribution structure.

Semiconductor assemblies with redistribution structures for die stack signal routing

Methods and apparatuses for providing security notification based on biometric identifier are described, in which one or more biometric information of a person may be utilized to permit or prohibit the person to access the vehicle. As such, the person may not access (or operate) the vehicle without satisfying security measures based on his/her biometric identifier generated from various biological information collected from the person. When the person is not authorized to access the vehicle, the security measures may transmit a security notification to an owner of the vehicle (e.g., a mobile device of the owner, an account of the owner) such that the owner may take appropriate steps in response to receiving the security notification. Such a notification may include the biometric information of the person, other information collected from the sensing component, a set of options for the owner to select from, among others.

Security notification based on biometric identifier

Methods and apparatuses for a mobile device (e.g., a mobile phone) supporting virtual peripherals are described. The mobile device may include a projecting component configured to project images to external surfaces outside of the mobile device. In some cases, the mobile device may project an image of a document on a first external surface and an image of a keyboard on a second external surface. Moreover, the mobile device may include an imaging component to receive inputs based on sensing an input device overlaid on the projected image (e.g., the keyboard). Accordingly, the mobile device may function as a computer with an external monitor and a keyboard, virtually added to the mobile device. In some cases, the mobile device may serve two or more users or purposes at a time. For example, the mobile device may operate as an infotainment device of a vehicle.

Virtual peripherals for mobile devices

Embodiments are described for a pattern-based control system that learns and applies device usage patterns for identifying and disabling devices exhibiting abnormal usage patterns. The system can learn a user's normal usage pattern or can learn abnormal usage patterns, such as a typical usage pattern for a stolen device. This learning can include human or algorithmic identification of particular sets of usage conditions (e.g., locations, changes in settings, personal data access events, application events, IMU data, etc.) or training a machine learning model to identify usage condition combinations or sequences. Constraints (e.g., particular times or locations) can specify circumstances where abnormal pattern matching is enabled or disabled. Upon identifying an abnormal usage pattern, the system can disable the device, e.g., by permanently destroying a physical component, semi-permanently disabling a component, or through a software lock or data encryption.

Device deactivation based on behavior patterns

Methods and apparatuses for arranging applications for a mobile device are described, in which the mobile device includes a set of applications. The mobile device may identify certain applications that a user of the mobile device is likely to activate, based on a particular environmental setting. The environmental setting may include a present location determined by a GPS, a present date and time, a present day, or the like. The mobile device may display graphical elements (e.g., icons) corresponding to the identified applications on a screen of the mobile device such that the user may conveniently activate the identified applications. In some embodiments, the mobile device may sort individual applications of the set based on quantities and/or lengths of activations to identify such applications. The mobile device may enlarge the icons by a predetermined factor before displaying them on the screen.

Organizing applications for mobile devices

Methods and apparatuses for emergency modes for a mobile device (e.g., a mobile phone) are described. The mobile device may receive sonic signals indicative of a voice of a person uttering words and identify the person as an authorized user. The mobile device may determine that the words correlate with an emergency situation from a set of predefined emergency situations. Further, the mobile device may determine that the emergency situation satisfies a threshold. The mobile device may perform one or more tasks (e.g., making a phone call to an emergency service), after determining that the emergency situation has satisfied the threshold. In some cases, the mobile device may monitor physiological signals of the person and/or collect additional data to increase a confidence level associated with making the determination. In some cases, the mobile device may leverage or include an artificial intelligence algorithm/engine to facilitate managing the emergency modes.

Emergency mode for mobile devices

Systems and methods for a semiconductor device having an edge-notched substrate are provided. The device generally includes a substrate having a front side, a backside having substrate contacts, and an inward notch at an edge of the substrate. The device includes a die having an active side attached to the front side of the substrate and positioned such that bond pads of the die are accessible from the backside of the substrate through the inward notch. The device includes wire bonds routed through the inward notch and electrically coupling the bond pads of the die to the substrate contacts. The device may further include a second die having an active side attached to the backside of the first die and positioned laterally offset from the first die such that the second bond pads are accessible by wire bonds around the edge of the first die and through the inward notch.

Edge-notched substrate packaging and associated systems and methods

Methods and apparatuses for managing spoofed calls to a mobile device are described, in which the mobile device receives a call transmitted over a cellular or mobile network. The call may include a set of information associated with the network, such as a geological location of a device that generated the call, a hardware device identifier corresponding to the device, an internet protocol (IP) address associated with the device, or a combination thereof. The mobile device may determine whether the call is spoofed or genuine based on the set of information. Subsequently, the mobile device may assist a user of the mobile device to manage the call, such as blocking the call from reaching the user, informing the user that the call is spoofed, facilitating the user to report the call as spoofed to an authority and/or a service provider of the network.

Managing spoofed calls to mobile devices

Secure access to a vehicle is described, in which one or more biometric identifiers of a user may be utilized to enable the vehicle. The user may not operate the vehicle without satisfying security measures based on his/her biometric identifier generated from various biological traits. In some embodiments, an artificial engine and/or algorithm may be combined to facilitate the authentication process to determine whether the user is authorized to use the vehicle. The secure access features may also manage a list of biometric identifiers of the authorized users. In some instances, the secure access features may be temporarily disabled. Further, individual parts of the vehicle may be associated with a unique identifier of the vehicle (which may include a vehicle identification number), and/or may be configured to transmit their geological locations determined by a global positioning system (GPS).

Secure access to vehicle using biometric identifier

Embodiments for enabling or disabling application features according to application-specific security settings are described. The application-specific security settings can control when particular security levels, corresponding to authentication procedures, are required. The security levels can correspond to authentication procedures such as requiring no password, only requiring a PIN, allowing authentication by biometrics, or requiring a password. The application-specific security settings can control security levels based on a variety of circumstances such as setting particular security levels for particular locations, setting different security levels based on time since last device use, etc. In various implementations, the security levels can be mapped to application features to enable or disable.

Application-specific security

Methods and apparatuses for in-use charging for wearable devices are described, in which the wearable device may include an energy harvesting unit coupled with a rechargeable battery unit. The energy harvesting unit may include one or more transducers configured to generate electrical energy from various types of non-electrical energy around the wearable device such that the wearable device may replenish the rechargeable battery unit while a person uses the wearable devices. Such non-electrical energy may include electromagnetic energy, light energy, thermal energy, kinetic energy, or the like. Additionally, the rechargeable battery unit may include two or more partitions such that one of the partitions may be detached when necessary (e.g., to replace with a fully charged partition) without disrupting operations of the wearable device.

Growing community of inventors

Boise, ID, United States of America

Madison E Wale