Fujitsu Laboratories has opened up the joint research results with Inria and participated in the Scikit-learn consortium
Although AI/machine learning has made remarkable progress in recent years and is expanding into various business domains, the Open Source Software (following OSS) community is underpinning its growth. Machine learning algorithms and much of their know-how are widely shared as OSS and are being developed with many volunteers. Data scientists and AI researchers use OSS to solve problems and develop new algorithms. Without these OSS, AI/machine learning would not have flourished like today.
Fujitsu Laboratories, as a research institute in industry, always use a lot of OSS during the research activities and it’s impossible to promote any research activities without OSS in these days. So, Fujitsu Laboratories understand that sustainable development of the OSS community is very crucial for our future research activities. OSS, on the other hand, are growing software, and many knowledgeable users often provide feedback on implementation and design issues. In other word, there is a lot of room for bug fixes and improvements. Fujitsu Laboratories recognizes the importance of contribution to the bug fixes and improvements not only for us but also whole AI community to make activities efficient.
On the occasion of the visit to Chile, Jean-Yves Le Drian visited the only Inria Center located outside of France on July 25.
This visit reinforces the commitments agreed by both nations on October 8, 2018, when the leaders of Chile and France decided to adopt a bilateral roadmap that defines the scope of the relationship between both countries for the next three years. One of the relevant points of this bilateral roadmap is the intensification of economic exchanges between France and Chile, with special emphasis on innovation, artificial intelligence, information and communication technologies, and sustainable development. In particular, they agreed on the importance of the existing Franco-Chilean research centers, such as Inria Chile, which are drivers for technological innovation.
As part of Group E of the evaluation of French Higher Education and Research institutions (2018-2019), the High Council for the Evaluation of Research and Higher Education (HCERES) has just published its Inria evaluation report covering the period 2013-2017.
HCERES asked a panel of international experts chaired by Didier Roux (a member of the French Academy of Technologies) to carry out the evaluation.
Inria recently obtained the Human Resources – Excellence in Research label from the European Union, underlining the quality of its approach towards human resources for scientists. This label is an opportunity to highlight both Inria’s place in the European Research and Innovation Area and its commitment to improving its appeal to the scientific community.
The scientists from the COMPRISE project are giving themselves three years to develop the next generation of voice interaction technology. It will be more affordable, inclusive and, above all, secure. The COMPRISE project (Cost-effective, Multilingual, Privacy-driven voice-enabled Services) is a Research and Innovation Action (RIA) funded by the European Union’s Horizon 2020 programme, and led by Emmanuel Vincent, a researcher at Inria Nancy-Grand Est. The six international partners in the consortium recently met in Paris to officially start the project.
Finding the right dose of medication by trial and error can be a painful experience for patients who are already suffering because of their disease. Artificial intelligence can greatly accelerate this process thanks to a new algorithm created by Adrien Coulet, lecturer at the Université de Lorraine and researcher in a joint Inria and Loria team, in collaboration with researchers from Stanford University. By analyzing patients' digital data, this innovative tool can predict in advance whether patients will need a lower dose of medication thus reducing the suffering caused by side effects. This result was published in Nature Scientific Reports.
Predicting future threats on the Internet: Inria, International University of Rabat and Carnegie Mellon University are collaborating on the NATO-funded ThreatPredict project
The goal of ThreatPredict is to improve prediction of cyber security threats using a novel approach that combines artificial intelligence, big data and heterogeneous input data.
The results it produces will make it possible to best prepare for future attacks and limit their impact. It is funded by the North Atlantic Treaty Organisation (NATO) under the Science for Peace and Security (SPS) program.
Inria is pleased to announce the launch of the scikit-learn initiative, whose objective is to speed up, with the support of user companies, the development of this reference software by adding new functionalities. Scikit-learn is a library developed in Python, an object-oriented programming language. It is dedicated to statistical learning (machine learning) and can be used as middleware, especially for prediction tasks.
Groupe PSA and Inria today announced the creation of an OpenLab dedicated to artificial intelligence. The studied areas will include autonomous and intelligent vehicles, mobility services, manufacturing, design development tools, the design itslelf and digital marketing as well as quality and finance.
A year ago, Inria signed an agreement with UNESCO - opening the way to joint actions in favour of the preservation and sharing of software source code, in particular through the Software Heritage project which, for this occasion, launched its website in several language.