Abstract: The present disclosure is directed at pairing a host electronic device with a peripheral electronic device using visual recognition and deep learning techniques. In particular, the host device may receive an indication of a peripheral device via a camera or as a result of searching for the peripheral device (e.g., due startup of a related application or periodic scanning). The host device may also receive an image of the peripheral device (e.g., captured via the camera), and determine a visual distance to the peripheral device based on the image. The host device may also determine a signal strength of the peripheral device, and determine a signal distance to the peripheral device based on the signal strength. The host device may pair with the peripheral device if the visual distance and the signal distance are approximately equal.

Abstract: The present invention provides a positive electrode active material composition and application thereof. The positive electrode active material composition includes at least the following ingredients: an ingredient A as a first active substance; an ingredient B as a second active substance; the particle size distributions of the first active substance and the second active substance satisfy: the ratio DAmin/DBmin of Dmin is 0.25 to 1.5, the ratio DA10/DB10 of D10 is 0.1 to 0.6, the ratio DA50/DB50 of D50 is 0.1 to 0.35, the ratio DA90/DB90 of D90 is 0.12 to 0.67, and 0.2?[(DA90-DA10)/DA50]/[(DB90-DB10)/DB50]?13. The invention provides a positive electrode active material composition and application thereof, which may effectively improve the volumetric energy density of lithium-ion secondary batteries.

Abstract: The invention provides a positive electrode material, a preparation method thereof, and an electrochemical device. The positive electrode material is a secondary particle formed by the aggregation of primary particles. The secondary particle contains a cavity structure inside. Based on the positive correlation characteristics between the content of an A element in the positive electrode material particles and the cavity ratio, by introducing an appropriate proportion of the A element when the positive electrode material precursor is formed, the accompanying cavity structure formed inside the precursor is at an appropriate cavity ratio, in order to ensure that the positive electrode material may buffer the volume strain during the charge and discharge process through the internal appropriate proportion of the cavity structure, and alleviate the rupture phenomenon of the secondary particle during the cycle, thereby improving the cycle life and volume energy density of the positive battery.

Abstract: A positive electrode active material, an electrochemical device, and an electronic apparatus are provided. The positive electrode active material includes a secondary particle. An inner side of the secondary particle includes first lithium manganese iron phosphate in a form of a primary particle, and an outer side of the secondary particle includes second lithium manganese iron phosphate in the form of the primary particle. A general chemical formula of the first lithium manganese iron phosphate is LixMnaFe1-a-a?M1a?PO4, 0.9?x?1.10, 0.4?a?0.9, and 0.001?a??0.02, and a general chemical formula of the second lithium manganese iron phosphate in the form of the primary particle is LiyMnbFe1-b-b?M2b?PO4, 0.9?y?1.10, 0<b>0.6, and 0.001?b??0.02, where a>b, M1 and M2 are each one or more of Mg, Ti, V, Ni, Co, and Al. An area ratio (S) of the first lithium manganese iron phosphate to the second lithium manganese iron phosphate satisfies S?(0.4?b)/(a?0.4).

Abstract: A positive electrode material, an electrochemical device, and an electronic apparatus are provided. The positive electrode material includes a first active material and a second active material; the first active material includes a lithium transition metal oxide; a general chemical formula of the second active material is Li1+(a/(2+a))Mn2a/(2+a)M6/(2+a)?2O2; wherein 0.5?a?1, M is selected from one or a plurality of Ni, Co, Mn, Mg, Al, Ti, Zr, Nb, La, Sr, and W, and the second active material produces a MnO2 coating layer when having a lithium potential higher than X volt(V), wherein 4.3?X?4.6. The positive electrode material of the disclosure has higher high-temperature cycle stability when used in a battery.

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

Abstract: An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

Abstract: A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

Abstract: The present application provides a display panel and a display device. The display panel includes a substrate, a gate electrode, an insulating barrier layer, and an active layer. The active layer is disposed on a side of the gate electrode away from or close to the substrate, and the insulating barrier layer is disposed between the gate electrode and the active layer; wherein band gap widths of materials of the insulating barrier layer are greater than a work function of a material of the gate electrode.

Abstract: A lithium secondary cell having an operating voltage ?4.35V, comprising a cathode comprising a doped LiCoO2 active material, an anode comprising graphite, and an electrolyte comprising a carbonate-based solvent, a lithium salt and both a succinonitrile (SN) and a lithium bis(oxalato)borate (LiBOB) additive wherein during the discharge at 45° C. from a state of charge (SOC) of 100% at 4.5V to a SOC of 0 at 3V at a C/10 rate the difference of the SOC at 4.42V and 4.35V is at least 7% but less than 14%, and wherein the active material is doped by at least 0.5 mole % of either one or more of Mn, Mg and Ti.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Abstract: Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for digital asset management. One of the methods includes: obtaining a request for creating a digital asset corresponding to a tangible asset, wherein the request comprises one or more characteristics of the digital asset; generating a blockchain contract corresponding to the tangible asset based on the one or more characteristics of the digital asset; and deploying the generated blockchain contract on a blockchain, wherein the deployed blockchain contract is executable to issue the digital asset corresponding to the tangible asset.

Abstract: According to various aspects, a vehicle may include: one or more image sensors configured to provide sensor image data representing a sensor image of a vicinity of the vehicle; one or more processors configured to determine one or more obstacles from the sensor image data, the one or more obstacles corresponding to one or more image objects of the sensor image, determine a distance from ground for each of the one or more obstacles based its corresponding image object, and trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for digital asset buyback. One of the methods includes: obtaining a request for buying back a digital asset from a first blockchain account, the request comprising a quantity of the digital asset; identifying, based on the request, a blockchain contract that is deployed on the blockchain and that corresponds to the digital asset; generating a blockchain transaction for transferring the quantity of the digital asset from the first blockchain account to a second blockchain account associated with digital asset buyback, wherein the blockchain contract comprises a restriction prohibiting transfer of the digital asset out of the second blockchain account; and sending, to a blockchain node for adding to the blockchain, the blockchain transaction for transferring the quantity of the digital asset from the first blockchain account to the second blockchain account.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: A vehicle (100) may include one or more image sensors (110) configured to provide sensor image data (112d) representing a sensor image of a vicinity of the vehicle (100), and one or more processors (120) configured to determine one or more obstacles (132) from the sensor image data (112d), to determine a distance from ground for each of the one or more obstacles (132) based its corresponding image object (114), and to trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle (100). A method for avoiding a collision of a vehicle with one or more obstacles.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Abstract: Systems, apparatuses and methods may provide for technology that sends first operation instructions to a first platoon of autonomous vehicles positioned behind a first lead vehicle, wherein the first operation instructions correspond to a manual operation of the first lead vehicle. The technology may also establish a direct communications link between the first lead vehicle and a second lead vehicle positioned ahead of the first lead vehicle, wherein the second lead vehicle is to be associated with a second platoon of autonomous vehicles. Additionally, the technology broadcasts second operation instructions from the direct communications link to the first platoon of autonomous vehicles while the first lead vehicle is in an autonomous mode, wherein the second operation instructions correspond to a manual operation of the second lead vehicle. The technology may also discontinue the direct communications link between the first lead vehicle and the second lead vehicle.