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A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs

Related publications (34)

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Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Joshua Alexander Harrison Klein

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

EPFL2024

ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...

EPFL2023

In light of increasing sustainability requirements, one of the challenges related to the heritage building stock consists in finding a balance between preserving the existing architectural character and improving energy efficiency. The project presented in ...

2020

Force and Shape Control Strategies for Minimum Energy Adaptive Structures

Gennaro Senatore, Arka Prabhata Reksowardojo

This work presents force and shape control strategies for adaptive structures subjected to quasi-static loading. The adaptive structures are designed using an integrated structure-control optimization method developed in previous work, which produces minim ...

2020

The contemporary energy context can be considered as a period of energy transition, where the latest protocols focus on limiting greenhouse gas (GHG) emissions and improving energy efficiency across the different energy consumption sectors. As the largest ...

EPFL2019

Fifth generation district energy systems for low carbon cities

Raluca-Ancuta Suciu

The focus and challenge for energy engineering in the context of rapid climate change is summarised by the Europe 20-20-20 targets, committing to a reduction in energy consumption of 20%. The most logical approach to achieve these goals is to target the mo ...

EPFL2019

Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate

Pierre Magistretti, Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan, Corrado Cali

Although efficient compared to computers, the human brain utilizes energy at 10-fold the rate of other organs by mass. How the brain is supplied with sufficient on-demand energy to support its activity in the absence of neuronal storage capacity remains un ...

2018

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One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require ...

2018

Energy transition potential in peri-urban dwellings: Assessment of theoretical scenarios in the Swiss context

Sophie Lufkin, Judith Elisa Drouilles

This paper investigates the theoretical capacity of the Swiss peri-urban dwelling stock to meet energy efficiency requirements through incremental scenarios. The notion of “typical dwelling” allows the assessment of housing energy efficiency at the country ...

2017

Energy Efficiency and Integration in the Refining and Petrochemical Industries

Laurent Gabriel Félix Alexandre Stéphane Bungener

Industrial sites and their associated energy systems are estimated to be responsible for 31% of worldwide energy consumption. Improving their energy efficiencies has the potential to reduce production costs of industrial sites and contribute towards the 20 ...

EPFL2016