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Publications associées (13)

Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data

Various endeavours into semantic web technologies and ontology engineering have been made within the organisation of cultural data, facilitating public access to digital assets. Although models for conceptualising objects have reached a certain level of ma ...

2023

Inference in artificial intelligence with deep optics and photonics

Demetri Psaltis

Artificial intelligence tasks across numerous applications require accelerators for fast and low-power execution. Optical computing systems may be able to meet these domain-specific needs but, despite half a century of research, general-purpose optical com ...

NATURE RESEARCH2020

Protecting Mobile Food Diaries from Getting too Personal

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Smartphone applications that use passive sensing to support human health and well-being primarily rely on: (a) generating low-dimensional representations from high-dimensional data streams; (b) making inferences regarding user behavior; and (c) using those ...

Association for Computing Machinery2020

Phase-Change Memory Models for Deep Learning Training and Inference

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Non-volatile analog memory devices such as phase-change memory (PCM) enable designing dedicated connectivity matrices for the hardware implementation of deep neural networks (DNN). In this in-memory computing approach, the analog conductance states of the ...

IEEE2019

Knowledge-based decision support for improving the adaptive product development process

Predrag Spasojevic

The product development process (PDP) is a complex process encompassing many very diverse activities, and involving a fairly big number of actors, spread across different professions, teams and companies. In todayâ s product development, more often than n ...

EPFL2015

Minimizing Efforts in Validating Crowd Answers

Karl Aberer, Quoc Viet Hung Nguyen, Chi Thang Duong

In recent years, crowdsourcing has become essential in a wide range of Web applications. One of the biggest challenges of crowdsourcing is the quality of crowd answers as workers have wide-ranging levels of expertise and the worker community may contain fa ...

2015

Scalable Collaborative Bayesian Preference Learning

Matthias Seeger, Mohammad Emtiyaz Khan, Young Jun Ko

Learning about users’ utilities from preference, discrete choice or implicit feedback data is of integral importance in e-commerce, targeted advertising and web search. Due to the sparsity and diffuse nature of data, Bayesian approaches hold much promise, ...

2014

Disabling conditional inferences: An EEG study

Mariia Kaliuzhna

Although the Modus Ponens inference is one of the most basic logical rules, decades of conditional reasoning research show that it is often rejected when people consider stored background knowledge about potential disabling conditions. In the present study ...

Pergamon-Elsevier Science Ltd2014

An Interactive Performance-Based Expert System for Daylighting Design

Marilyne Andersen

Architects are increasingly using digital tools during the design process, particularly as they approach complex problems such as designing for successful daylighting performance. However, while simulation tools may provide the designer with valuable infor ...

2011

MUNCH - Automated Reasoner for Sets and Multisets

Viktor Kuncak, Ruzica Piskac

This system description provides an overview of the MUNCH reasoner for sets and multisets. MUNCH takes as the input a formula in a logic that supports expressions about sets, multisets, and integers. Constraints over collections and integers are connected ...

Springer2010