[Forbes France] BigDataFr recommande : Intelligence Artificielle : Votre Guide De Survie Face Au Buzz

BigDataFr recommande : Intelligence Artificielle : Votre Guide De Survie Face Au Buzz […] Aujourd’hui, les attentes liées à l’intelligence artificielle n’ont jamais été aussi grandes. Rien d’étonnant puisque que cette technologie est génératrice d’importants avantages économiques. Les entreprises ne cessent d’annoncer de nouveaux partenariats stratégiques, de nouveaux produits ou de nouvelles technologies, en clamant […]

[MIT Technology Review] BigDataFr recommends: IBM Raises the Bar with a 50-Qubit Quantum Computer

BigDataFr recommends: IBM Raises the Bar with a 50-Qubit Quantum Computer […] IBM established a landmark in computing Friday, announcing a quantum computer that handles 50 quantum bits, or qubits. The company is also making a 20-qubit system available through its cloud computing platform. IBM, Google, Intel, and a San Francisco startup called Rigetti are […]

[Datasciencecentral] BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial

BigDataFr recommends: High Precision Computing: Benchmark, Examples, and Tutorial […] In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in […]

[arXiv] BigDataFr recommends: Learning to Predict with Big Data

BigDataFr recommends: Learning to Predict with Big Data […] Subjects: Big spatio-temporal datasets, available through both open and administrative data sources, offer significant potential for social science research. The magnitude of the data allows for increased resolution and analysis at individual level. One of the issues researchers face with such data is the stationarity assumption. […]

[INHESJ] BigDataFr recommande : L’entreprise à l’heure de l’intelligence artificielle : Entre promesses et nouveaux défis

Défis Nº 8 – Publication : Novembre 2017 BigDataFr recommande : L’entreprise à l’heure de l’intelligence artificielle : Entre promesses et nouveaux défis •Éditorial d’Hélène Cazaux Charles, Directrice de l’INHESJ. ►Longtemps restée l’affaire de spécialistes, l’IA est désormais un défi pour tous : citoyens, chercheurs, entreprises et administration. •Ce numéro réunit les analyses et témoignages […]

[Datasciencecentral] BigDataFr recommends: Quantitative Alienation in the Workplace

BigDataFr recommends: Quantitative Alienation in the Workplace […] For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications. I am therefore honoured to become better acquainted with the “mechanics” […]

[EducPros] BigDataFr recommande : Données personnelles : le règlement européen oblige les universités à se pencher sur leur data

BigDataFr recommends : Données personnelles : le règlement européen oblige les universités à se pencher sur leur data […] Universités et écoles produisent des données en continu, qui se comptent en pétaoctets, l’équivalent de milliers de disques durs personnels. Ces gisements d’informations liés à la recherche, à la pédagogie ou encore à l’administration doivent entrer […]

[arXiv] BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing

BigDataFr recommends: Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing […] Subjects: Cryptography and Security (cs.CR) With the ubiquitous computing of providing services and applications at anywhere and anytime, cloud computing is the best option as it offers flexible and pay-per-use based services to its customers. Nevertheless, security and privacy are the […]

[HAL] BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering

BigDataFr recommends: Raising Time Awareness in Model-Driven Engineering Keywords: Model-Driven Engineering, Analytics, Big Data, Temporal Data, Internet of Things Abstract […] The conviction that big data analytics is a key for the success of modern businesses is growing deeper, and the mo-bilisation of companies into adopting it becomes increasingly important. Big data integration projects enable […]

[arXiv] BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis

BigDataFr recommends: Distributed Spatial Data Clustering as a New Approach for Big Data Analysis […] Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) In this paper we propose a new approach for Big Data mining and analysis. This new approach works well on distributed datasets and deals with data clustering task of the analysis. The approach […]