Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.

Abstract: A bioreactor device includes a solid substrate having a first face and a second face. The solid substrate at least partially defines a perfusion channel, a plurality of chambers, a fluidic inlet, and a fluidic outlet. A first sheet disposed over the first face and a second sheet disposed over the second face. Characteristically, the combination of the solid substrate, the first sheet and the second sheet define the perfusion channel and each chamber of the plurality of chambers. The plurality of chambers are arranged in rows of chambers in which adjacent chambers are positioned at opposite side of the perfusion channel. The perfusion channel extends from the fluidic inlet and the fluidic outlet having a serpentine path along each row of chambers with each chamber being in fluid communication with the perfusion channel.

Abstract: An example method includes combining an interlayer and a carbon fiber fabric, wherein the interlayer comprises a highly oriented milled carbon fiber ply comprising a plurality of out-of-plane carbon fibers. The method further includes winding the interlayer and the carbon fiber fabric around a core to form a composite fiber preform comprising a plurality of layers defining an annulus extending along a central axis. The method further includes densifying the composite fiber preform.

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute an intermediate product of 16-bit operands and to compute a 32-bit sum based on the intermediate product.

Abstract: An apparatus and method for measuring a biosignal of a monitored patient, processing the measured biosignal to generate a treatment protocol for guiding clinical care of the monitored patient, and outputting the treatment protocol for use by a clinical caregiver. In one example, the monitored patient is a preterm infant, the biosignal is a respiratory pattern of the infant during oral feeding, and the treatment protocol provides a recommended treatment regimen setting forth therapeutic interventions and/or medical interventions for a clinical caregiver to follow for achieving a predetermined outcome for improving oral feeding of the monitored infant.

Abstract: Provided herein are pharmaceutical compositions and tissue/organ preservation solutions comprising itaconate and/or derivatives thereof and methods of use thereof. In particular, provided herein are compositions comprising itaconate and methods of use thereof for the preservation of tissues/organs for transplantation and treatment/prevention/reduction of conditions such as myocardial infarction, sudden cardiac arrest, stroke, senescence, cardiomyopathies, and cardiotoxicity.