Télécom ParisTech Launches its New Research and Teaching Chair “Data Science & Artificial Intelligence for Digitalized Industry & Services”
Within this new Chair, research will be conducted along four main lines:
Axis 1: Development of predictive analysis on time series and streams
Axis 2: Large-scale exploitation of partially labeled and heterogeneous data
Axis 3: Statistical learning for reliable and rigorous decision-making
Axis 4: Machine Learning algorithms that communicates with their environment
Partnership on Autonomous vehicles between CNES and VEDECOM
Jean-Yves Le Gall, President of CNES (National Center for Space Studies) and Rémi Bastien, President of VEDECOM, signed a partnership agreement in January. Their ambition is to synergize the missions and skills of the two organizations.
Jean-Yves Le Gall declared:
“THE autonomous vehicle is undoubtedly one of the main challenges in the years to come and in this context, CNES is proud to sign this partnership agreement with VEDECOM. CNES is pursuing its strategy of alliance with major players to develop the use of space solutions to respond to societal issues, with a view to overall national economic development. “
French Government will use artificial intelligence to control public spending.
This February 5, 2019 was published in the Official Journal the Order of January 29, 2019 on the creation of an automated predictive analysis treatment relating to the control of state expenditure.
Artificial intelligence is one of the major projects of the strategic contract of the “Industries and Technologies of Health” sector.
This 4 February was signed the Strategic Contract of the sector “Industries and Technologies of Health”. Four major projects were identified, including artificial intelligence and the creation of the “Health Data Hub” to promote precision medicine and set up a world-class ecosystem.
56 competitive clusters labeled for phase 4 of the competitiveness clusters (2019-2022)
In July 2018, the French government launched a call for applications to designate the competitiveness clusters for the period 2019-2022. On February 5th, the Prime Minister presented the 56 poles labeled for phase 4 (2019-2022).
48 competitiveness clusters are labeled for a four-year period:
Aerospace Valley, Agri SOI, Alimentation Bien-être Naturalité (ABEN), ALPHA-RLH, ASTech, Axelera, BioValley France, Cap Digital, Capénergies, CARA, CIMES, Cosmetic Valley, DERBI, EMC2, EuraMaterials, Eurobiomed, Finance Innovation, Hippolia, IAR, iD4CAR, Images & Réseaux-TES, i-Trans, LyonBiopôle, Materalia, Medicen, Minalogic, Mov’eo, Nuclear Valley, NSL, Optitec, PEC, Plastipolis, PMBA, PMM, PMV, Pôle Avenia, Pôle de la filière de l’Eau, PVF, Qualitropic, S2E2, SAFE, SCS, SYSTEMATIC, Techtera, Tenerrdis, Valorial, Vitagora, Xylofutur.
8 poles of competitiveness are labeled for a period of one year, extendable to four years under certain conditions:
Atlanpôle Biothérapies, Elastopôle, Microtechniques, NOV@LOG, PICOM, Team2, Aquimer, Fibres-Energivie.
Systematic Paris-Region strengthens to become an European reference for Deep Tech
The Systematic Paris-Region competitiveness cluster, approved by the French State following the call for applications for phase IV of the clusters, is being reinforced in order to accelerate its international reach.
Lung cancer: MSDAVENIR supports the Inria Foundation’s Pimiento project with 900,000 €
Inria Foundation and the MSDAVENIR Endowment Fund of the MSD France Pharmaceutical Laboratory announce the signing of a partnership to support a research project in the area of non-small cell lung cancer for 900,000 €.
Adjustment of chemotherapy drug dosage using artificial intelligence
Researchers propose an algorithm for adjusting chemotherapy dosages. The results of the research conducted by Adrien Coulet, Nicolas Jay (University of Lorraine, Inria, LORIA), Michel Dumontier (University of Maastricht) in collaboration with the Medical Evaluation and Information Service of the University Hospital of Nancy and Stanford University highlight the effectiveness of artificial intelligence in adjusting the dosage of drugs to patients.
researchers were able to predict the necessary adjustments with reliability (AUC) ranging from 0.70 to 0.95 for 23 drugs of 22 classes. The prediction proved effective from the first prescription.
Snips laureate of the French Tech Business Award 2019 in Japan
Snips has been named laureate of the French Tech Business Award 2019 by the French Chamber of Commerce and Industry of Japan. Creator of embedded a voice recognition technology for companies, products and services, the French company has been awarded at the Shinnenkai and the French Business Awards 2019.
Deepomatic and its visual recognition applied to industrial projects technology raise $ 6.2 Million
Luc Julia (Co-creator of Siri, VP of Innovation at Samsung) published a book titled “L’intelligence artificielle n’existe pas” (AI doesn’t exist).
Artificial Intelligence and Smart Objects: The USE’In start-up incubator at Jean Monnet University welcomes 2 new projects:
AI Tenders (NLU SAAS platform applied to call fo tenders) and KuIR (IR device for low temperature cooking).