Abstract: Oral formulations comprising one or more proteasome inhibitors for use as a treatment of coronavirus infection in a subject. Also disclosed are the use of such for the treatment or prevention of SARS-CoV-2 infection in humans.

Abstract: Provided herein are, among other things, methods for treating a patient suffering from a CD38+ cancer.

Abstract: Systems and methods for detecting oscillations in neural signals are disclosed that provide for high precision and specificity in detecting neural oscillations in time and frequency domains. The disclosed systems and methods identify oscillations according to criteria including 1/f noise, number of cycles, and auto-correlation. The disclosed method detects periodic signals and filters out spurious oscillations associated with harmonic frequencies.

Abstract: The present invention provides antibodies that target glioblastoma stem-like cells and methods and kits for their use.

Abstract: A sensor system that obtains and processes time-of-flight data (TOF) obtained in an arbitrary orientation is provided. A TOF sensor obtains distance data describing various surfaces. A processor identifies a horizontal Z-plane in the environment, and transforms the data to align with the Z-plane. In some embodiments, the environment includes a box, and the processor identifies a bottom and a top of the box in the transformed data. The processor can further determine dimensions of the box, e.g., the height between the top and bottom of the box, and the length and width of the box top.

Abstract: The present invention provides antibodies that target glioblastoma stem-like cells and methods and kits for their use.

Abstract: A sensor system that obtains and processes time-of-flight data (TOF) is provided. A TOF sensor obtains raw data describing various surfaces. A processor applies an averaging filter to the raw data to smooth the raw data for increasing signal-to-noise ratio (SNR) of flat surfaces represented in the raw data, performs a depth compute process on the raw data, as filtered, to generate distance data, generates a point cloud based on the distance data, and identifies the Z-planes in the point cloud.

Abstract: Provided is a neural network accelerator which performs a calculation of a neural network provided with layers, the neural network accelerator including a kernel memory configured to store kernel data related to a filter, a feature map memory configured to store feature map data which are outputs of the layers, and a Processing Element (PE) array including PEs arranged along first and second directions, wherein each of the PEs performs a calculation using the feature map data transmitted in the first direction from the feature map memory and the kernel data transmitted in the second direction from the kernel memory, and transmits a calculation result to the feature map memory in a third direction opposite to the first direction.

Abstract: A processing element and an operating method thereof in a neural network are disclosed. The processing element may include a first multiplexer selecting one of a first value stored in a first memory and a second value stored in a second memory, a second multiplexer selecting one of a first data input signal and an output value of the first multiplexer, a third multiplexer selecting one of the output value of the first multiplexer and a second data input signal, a multiplier multiplying an output value of the second multiplexer by an output value of the third multiplexer, a fourth multiplexer for selecting one of the output value of the second multiplexer and an output value of the multiplier, and a third memory storing an output value of the fourth multiplexer.

Abstract: The invention, in some aspects relates to compositions and methods for altering cell activity and function and the introduction and use of light-activated ion channels.

Abstract: The invention, in some aspects relates to compositions and methods for altering cell activity and function and the introduction and use of light-activated ion channels.

Abstract: Provided is an image recognition processor. The image recognition processor includes a plurality of nano cores arranged in rows and columns and configured to perform a pattern recognition operation on an input feature using a kernel coefficient in response to each instruction, an instruction memory configured to provide the instruction to each of the plurality of nano cores, a feature memory configured to provide the input feature to each of the plurality of nano cores, a kernel memory configured to provide the kernel coefficients to the plurality of nano cores, and a functional safety processor core configured to receive a result of a pattern recognition operation outputted from the plurality of nano cores to detect the presence of a recognition error, and perform a fault tolerance function on the detected recognition error.

Abstract: CsChrimson light-activated ion channel polypeptides, their encoding polynucleotides, and variants thereof are provided. Methods of introducing and using CsChrimson light activated ion channels and variants thereof for to alter cell activity and function are also provided.

Abstract: The present invention provides antibodies that target glioblastoma stem-like cells and methods and kits for their use.

Abstract: The invention, in some aspects relates to compositions and methods for altering cell activity and function and the introduction and use of light-activated ion channels.

Abstract: The invention, in some aspects relates to compositions and methods for altering cell activity and function and the introduction and use of light-activated ion channels.

Abstract: The invention, in some aspects relates to compositions and methods for altering cell activity and function and the introduction and use of light-activated ion channels.

Abstract: A neural network accelerator in which processing elements are configured in a systolic array structure includes a memory to store a plurality of feature data including first and second feature data and a plurality of kernel data including first and second kernel data, a first processing element to perform an operation based on the first feature data and the first kernel data and output the first feature data, a selection circuit to select one of the first feature data and the second feature data, based on a control signal, and output the selected feature data, a second processing element to perform an operation based on the selected feature data and one of the first and the second kernel data, and a controller to generate the control signal, based on a neural network characteristic associated with the plurality of feature data and kernel data.

Abstract: Provided is an image recognition processor. The image recognition processor includes a plurality of nano cores arranged in rows and columns and configured to perform a pattern recognition operation on an input feature using a kernel coefficient in response to each instruction, an instruction memory configured to provide the instruction to each of the plurality of nano cores, a feature memory configured to provide the input feature to each of the plurality of nano cores, a kernel memory configured to provide the kernel coefficients to the plurality of nano cores, and a functional safety processor core configured to receive a result of a pattern recognition operation outputted from the plurality of nano cores to detect the presence of a recognition error, and perform a fault tolerance function on the detected recognition error.

Abstract: One example modular electronic device of the present disclosure includes a frame and a plurality of electronic modules which are respectively removably received at a plurality of bays formed by the frame. The modular electronic device can enable a user to directly operate, interact with, remove, or otherwise manipulate the electronic modules without requiring the user to navigate through or otherwise interact with a graphical user interface. In particular, the modular electronic device can enable the user to operate, remove, or otherwise interact with the electronic modules by simply touching or pressing a particular electronic module.