Visiestuk Towards digital life: een toekomstvisie op AI anno 2032 [Vision paper Towards digital life: a vision of AI in 2032]

TNO has lived up to its motto ‘Innovation for life’ by playing a significant part in this digital revolution, with major breakthroughs in computer simulation, network transactions, wireless communication, cyber security, optical satellite communication and quantum computing.

Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution

[No abstract available]

Hybrid collective intelligence in a human–AI society

Within current debates about the future impact of Artificial Intelligence (AI) on human society, roughly three different perspectives can be recognised: (1) the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; (2) the human-centric...

Robustness Verification for Classifier Ensembles

We give a formal verification procedure that decides whether a classifier ensemble is robust against arbitrary randomized attacks. Such attacks consist of a set of deterministic attacks and a distribution over this set. The robustness-checking problem consists of assessing, given a set of classifiers and a labelled data set, whether there exists...

Hybrid ai: white paper

Hybrid Artificial Intelligence combines the best of two worlds: the power of recent advances in deep learning with the possibility to explicitly model human knowledge in connected systems. Together, this new generation of AI becomes more controllable, explainable and fair, in line with European norms and values.

ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning

End-users of machine learning-based systems benefit from measures that quantify the trustworthiness of the underlying models. Measures like accuracy provide for a general sense of model performance, but offer no detailed information on specific model outputs. Probabilistic outputs, on the other hand, express such details, but they are not...

Exploiting ontologies for deep learning: A case for sentiment mining

Automatic analysis of online image data for law enforcement agencies by concept detection and instance search

The information available on-line and off-line, from open as well as from private sources, is growing at an exponential rate and places an increasing demand on the limited resources of Law Enforcement Agencies (LEAs). The absence of appropriate tools and techniques to collect, process, and analyze the volumes of complex and heterogeneous data...

A cocktail approach to the VideoCLEF'09 linking task

In this paper, we describe the TNO approach to the Finding Related Resources or linking task of VideoCLEF09. Our system consists of a weighted combination of off-the-shelf and proprietary modules, including the Wikipedia Miner toolkit of the University of Waikato. Using this cocktail of largely off-the-shelf technology allows for setting a...

Annotation of URLs: More than the sum of parts

Recently a number of studies have demonstrated that search engine logfiles are an important resource to determine the relevance relation between URLs and query terms. We hypothesized that the queries associated with a URL could also be presented as useful URL metadata in a search engine result list, e.g. for helping to determine the semantic...

Polarity Classification of Blog TREC 2008 Data with a Geodesic Kernel

In this paper we describe the TNO approach to large-scale polarity classification of the Blog TREC 2008 dataset. Our participation consists of the submission of the 5 baseline runs provided by NIST, for which we applied a multinomial kernel machine operating on character n-gram representations.

Automatic recognition of spontaneous emotions in speech using acoustic and lexical features

We developed acoustic and lexical classifiers, based on a boosting algorithm, to assess the separability on arousal and valence dimensions in spontaneous emotional speech. The spontaneous emotional speech data was acquired by inviting subjects to play a first-person shooter video game. Our acoustic classifiers performed significantly better than...

Sentiment classification with interpolated information diffusion kernels

Information diffusion kernels - similarity metrics in non-Euclidean information spaces - have been found to produce state of the art results for document classification. In this paper, we present a novel approach to global sentiment classification using these kernels. We carry out a large array of experiments addressing the well-known movie...