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Article
Open AccessAutomatic generation of ARM NEON micro-kernels for matrix multiplication
General matrix multiplication (gemm) is a fundamental kernel in scientific computing and current frameworks for deep learning. Modern realisations of gemm are mostly written in C, on top of a small, highly tuned
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Article
Open AccessParallel GEMM-based convolution for deep learning on multicore RISC-V processors
We address the efficient implementation of the convolution operator on the GAP8 parallel ultra-low power platform (PULP), a heterogeneous multi-core processor equipped with a fabric controller (FC); a cluster ...
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Article
Open Access3D reconstruction system and multiobject local tracking algorithm designed for billiards
The use of virtual reality or augmented reality systems in billiards sports are useful tools for pure entertainment or improving the player’s skills. Depending on the purpose of these systems, tracking algorit...
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Article
Open AccessEfficient and portable Winograd convolutions for multi-core processors
We take a step forward towards develo** high-performance codes for the convolution operator, based on the Winograd algorithm, that are easy to customise for general-purpose processor architectures. In our ap...
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Article
Open AccessPerformance–energy trade-offs of deep learning convolution algorithms on ARM processors
In this work, we assess the performance and energy efficiency of high-performance codes for the convolution operator, based on the direct, explicit/implicit lowering and Winograd algorithms used for deep learn...
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Article
Open AccessMicro-kernels for portable and efficient matrix multiplication in deep learning
We provide a practical demonstration that it is possible to systematically generate a variety of high-performance micro-kernels for the general matrix multiplication (gemm) via generic templates which can be easi...
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Chapter and Conference Paper
GEMM-Like Convolution for Deep Learning Inference on the **linx Versal
We revisit a blocked formulation of the direct convolution algorithm that mimics modern realizations of the general matrix multiplication (gemm), demonstrating that the same approach can be adapted to deliver hig...
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Chapter and Conference Paper
Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors
We provide a complete performance comparison of two realizations of the convolution, based on the lowering approach and a blocked variant of the direct convolution algorithm. The theoretical analysis focuses o...
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Article
Open AccessEmergence of Third-Order Conditional Discriminations from Learning Discriminations with Unrelated Stimuli
This study explored learning and generalization of a third-order conditional discrimination. Two 8-year-old children learned two auditory–visual conditional discriminations in which they selected visual Japane...
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Chapter and Conference Paper
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge
The devices designed for the Internet-of-Things encompass a large variety of distinct processor architectures, forming a highly heterogeneous zoo. In order to tackle this, we employ a simulator to estimate the...
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Protocol
History and Trends of 3D Bioprinting
The field of bioprinting is rapidly evolving as researchers innovate and drive the field forward. This chapter provides a brief overview of the history of bioprinting from the first described printer system in...
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Article
Autophagy Induction by Bexarotene Promotes Mitophagy in Presenilin 1 Familial Alzheimer’s Disease iPSC-Derived Neural Stem Cells
Adult neurogenesis defects have been demonstrated in the brains of Alzheimer’s disease (AD) patients. The neurogenesis impairment is an early critical event in the course of familiar AD (FAD) associated with n...
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Reference Work Entry In depth
Development of Nanocellulose-Based Bioinks for 3D Bioprinting of Soft Tissue
3D bioprinting technology is expected to revolutionize the field of medicine and health care particularly within soft tissue repair and reconstruction. Surgical needs for soft tissue repair include nose, ear, ...
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Chapter and Conference Paper
Accelerating FaST-LMM for Epistasis Tests
We introduce an enhanced version of FaST-LMM that maintains the sensitivity of this software when applied to identify epistasis interactions while delivering an acceleration factor that is close to 7.5 ...
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Living Reference Work Entry In depth
Development of Nanocellulose-Based Bioinks for 3D Bioprinting of Soft Tissue
3D bioprinting technology is expected to revolutionize the field of medicine and health care particularly within soft tissue repair and reconstruction. Surgical needs for soft tissue repair include nose, ear, ...
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Article
Automated, high-throughput derivation, characterization and differentiation of induced pluripotent stem cells
A modular, robotic system for reprogramming to induced pluripotent stem cells in high-throughput and automated fashion.
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Article
Open AccessRapid and Efficient Generation of Transgene-Free iPSC from a Small Volume of Cryopreserved Blood
Human peripheral blood and umbilical cord blood represent attractive sources of cells for reprogramming to induced pluripotent stem cells (iPSCs). However, to date, most of the blood-derived iPSCs were generat...
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Article
Human oocytes reprogram somatic cells to a pluripotent state
The exchange of the oocyte’s genome with the genome of a somatic cell, followed by the derivation of pluripotent stem cells, could enable the generation of specific cells affected in degenerative human disease...
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Article
Control by Contextual Stimuli in Novel Second-Order Conditional Discriminations
Eighteen undergraduates participated in studies designed to examine the factors that produce transfer of contextual functions to novel stimuli in second-order conditional discriminations. In Study 1, participa...
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Article
Interactions of Contingencies, Instructional Accuracy, and Instructional History in Conditional Discrimination
In two experiments, 40 undergraduate students were trained on conditional discrimination tasks (matching to sample) involving 1 of 4 types of instructional histories: (a) true instructions followed by false in...
