Concept

Vector multiplication

Related publications (10)

Overflow-free compute memories for edge AI acceleration

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina

Compute memories are memory arrays augmented with dedicated logic to support arithmetic. They support the efficient execution of data-centric computing patterns, such as those characterizing Artificial Intelligence (AI) algorithms. These architectures can ...

2023

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNNs) have surpassed human-level accuracy in a variety of cognitive tasks but at the cost of significant memory/time requirements in DNN training. This limits their deployment in energy and memory limited applications that require rea ...

IEEE2020

Learning of robust spectral graph dictionaries for distributed processing

Pascal Frossard

We consider the problem of distributed representation of signals in sensor networks, where sensors exchange quantized information with their neighbors. The signals of interest are assumed to have a sparse representation with spectral graph dictionaries. We ...

SPRINGEROPEN2018

How well do the muscular synergies extracted via nonnegative matrix factorization explain the variation of torque at shoulder joint?

Kamiar Aminian, Mohamadreza Nassajian Moghadam

The way central nervous system manages the excess degrees of freedom to solve kinetic redundancy of musculoskeletal system remains an open question. In this study, we utilise the concept of synergy formation as a simplifying control strategy to find the mu ...

Taylor & Francis2013

Lineage- and stage-restricted lentiviral vectors for the gene therapy of chronic granulomatous disease

Didier Trono, Isabelle Barde, Sonia Verp, Sandra Eloise Kjeldsen

Insertional mutagenesis represents a serious adverse effect of gene therapy with integrating vectors. However, although uncontrolled activation of growth-promoting genes in stem cells can predictably lead to oncological processes, this is far less likely i ...

2011

Modeling and Flatness of Rigid and Flexible Cable Suspended Underactuated Robots

Philippe Müllhaupt, Basile Graf

A modeling framework is proposed for the control of rigid and flexible cable-like systems such as cranes, together with a systematic algorithm for computing flat outputs of mechanical systems for which the flat output is a linear combi- nation of free coor ...

IEEE2010

Modeling and Flatness of Rigid and Flexible Cable Suspended Underactuated Robots

Philippe Müllhaupt, Basile Graf

2010

A systematic enhancer screen using lentivector transgenesis identifies conserved and non-conserved functional elements at the olig1 and olig2 locus

Didier Trono, Denis Duboule, Isabelle Barde, Sonia Verp, Marc Samuel Friedli, Jozsef Zakany

Finding sequences that control expression of genes is central to understanding genome function. Previous studies have used evolutionary conservation as an indicator of regulatory potential. Here, we present a method for the unbiased in vivo screen of putat ...

Public Library of Science2010

Force and torque vectors at the foot generated by surface electrical stimulation of leg muscles

Reymond Clavel, Patrick Métrailler, Carl Schmitt

MotionMakerTM is a robotic system that employs functional electrical stimulation (FES) of leg muscles to allow subjects with complete or partial paralysis of the legs to perform exercises. To achieve the greatest benefit from exercise muscles should do wor ...

2006

Solving a system of linear diophantine equations with lower and upper bounds on the variables

Arjen Lenstra

We develop an algorithm for solving a system of diophantine equations with lower and upper bounds on the variables. The algorithm is based on lattice basis reduction. It first finds a short vector satisfying the system of diophantine equations, and a set o ...

INFORMS2000

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