Abstract: The present disclosure provides methods of lineage specific differentiation of pluripotent stem cells, including induced pluripotent stem cells, into floor plate midbrain progenitor cells, determined dopamine (DA) neuron progenitor cells, and/or DA neurons. Also provided are compositions and uses thereof, such as for treating neurodegenerative diseases and conditions, including Parkinson's disease.

Abstract: The present disclosure provides methods of lineage specific differentiation of pluripotent stem cells, including induced pluripotent stem cells, into floor plate midbrain progenitor cells, determined dopamine (DA) neuron progenitor cells, and/or DA neurons. Also provided are compositions and uses thereof, such as for treating neurodegenerative diseases and conditions, including Parkinson's disease.

Abstract: The invention provides systems and methods for automated identification and isolation of cells. In some embodiments, the system receives an image of a cell culture, the image having a plurality of pixels. The system applies a machine learning model to classify at least a first subset of the plurality of pixels by assigning, for each pixel, a confidence value corresponding to each of one or more classes, where the class for each pixel is determined using the confidence values and feature(s) of surrounding pixels. The system generates a cell map based on the classe(s) of the pixels, and uses the cell map to cause a robotic device to perform operation(s) on the cell culture.

Abstract: A system includes a base station with one or more antennas; and a processor to beamform or to control a directionality of the antennas in communication with a predetermined target. A mobile device communicates with the base station and has an RF part including RF Transceiver chip, baseband part comprising of DSP and CPU for controlling the data/control messages. ADC/DAC chips are used for interfacing both RF and baseband parts. The other basic cell phone components include touchscreen display, battery, RAM, ROM, RF antenna, MIC, Speaker, camera, and others.

Abstract: Systems and methods disclosed for recommending healthy actions for a subject by using a DNA sequencer to generate genetic information; aggregating genetic information, health or beauty trend data, and health response from a patient population; deep learning with a computer to generate at least one computer implemented classifier that predicts matching health protocols, treatment regimes, or products based on the genetic information, health trend data, and health product response from a patient population; and recommending one or more actions, protocols, or products, for the subject.

Abstract: A method of providing safety in a level 3 autonomous vehicle by mounting a plurality of cameras in a vehicular cabin to detect edges; translating the edges into motions of a human or a biological entity; and monitoring safety conditions for the human or biological entity.

Abstract: A system includes one or more antennas and a processor to communicate with a predetermined target using 5G or 6G protocols.

Abstract: A device to securely access a digital asset with an asset blockchain address on a blockchain includes a processor in communication with a processor blockchain address; and code executed by the processor to: capture a prompt, a response, or an answer; and store a digital asset contract, access right, and ownership right of the prompt, response, or answer on the blockchain.

Abstract: A method includes capturing pressure data from an optical sensor; capturing motion data; determining a predetermined health condition of a user based on the pressure and motion data; and generating one or more reports on pressure management with feedback from the motion and pressure data.

Abstract: A transport method includes providing a cab having a moveable actuator coupled to the propulsion unit to move the propulsion unit between a first position above the cab during take-off and a second position during lateral flight; receiving a hand control from a controller or stick, and flight data captured by a plurality of cameras or sensors, wherein hand grip or movement represents a control request; and determining control options based on a current state of the control request and the environment of the cab.

Abstract: A device to securely access a digital asset with an asset blockchain address on a blockchain, including a processor in the mobile body and associated with a processor blockchain address, and a sensor coupled to the body to authenticate a user, wherein selected user events are placed on the blockchain, wherein the processor sends an access request to the digital asset upon authentication based on the blockchain address and events on the blockchain, wherein the digital asset contractual details, access right, and ownership rights are stored on a decentralized ledger, and wherein the processor uses the ledger to record or manage property right for the digital asset.

Abstract: A system includes a transceiver to communicate with a predetermined target; one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target; and an edge processing module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target.

Abstract: Systems and methods are disclosed for providing a product to consumers by receiving the product from a manufacturer located in a first country; matching the products with a seller in the second country; managing delivery logistics by matching available third-party truckers and third-party warehouses in a second country based on proximity; forecasting demand using one or more neural networks for the manufacturer, the logistics organization, and the warehouses; and managing logistics for the manufacturer through a dashboard populated by the forecasted demand from the one or more neural networks.

Abstract: Systems and methods are disclosed for operating a 5G communication system by receiving, at a neural network or the GPU, data associated with an area served by the 5G communication system; processing, by the neural network or the GPU, the data to determine optimized beamforming parameters for a plurality of 5G antennas; providing the optimized beamforming parameters from the neural network or the GPU to a digital beamformer coupled to the plurality of 5G antennas; and adjusting, by the digital beamformer, the beamforming coefficients applied to the plurality of 5G antennas based on the optimized beamforming parameters.

Abstract: A method for improving call performance in a wireless network includes applying AI techniques at the physical layer (PHY) to perform digital predistortion, channel estimation, and channel resource optimization including applying AI-based channel state information compression to compress feedback data from user equipment to a base station and applying AI-based fingerprinting processes to optimize positioning and localization in indoor environments and mapping disruptions to propagation patterns caused by individuals in a wireless environment; adjusting transceiver parameters during a call using an AI-based autoencoder design; and optimizing resource allocation and improving call quality between two devices by deploying AI at the PHY.

Abstract: A system includes one or more antennas; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.

Abstract: A system includes one or more antennas and a processor to communicate with a predetermined target using 5G or 6G protocols.

Abstract: A system includes a housing with one or more edge processors to handle processing on behalf of a mobile target or to provide local data to the mobile target or to provide artificial intelligence for the mobile target; one or more antennas coupled to the housing; and a processor to control a directionality of the antennas in communication with the mobile target using 5G or 6G protocols.

Abstract: A system includes one or more antennas; and a processor coupled to the antennas in communication with a predetermined target using 5G protocols.

Abstract: A system includes a transceiver to communicate with a predetermined target; one or more antennas coupled to the transceiver each electrically or mechanically steerable to the predetermined target; and an edge processing module coupled to the transceiver and one or more antennas to provide low-latency computation for the predetermined target.