Entrepreneuriat et Start-up

Pour l’EPFL, l’entrepreneuriat est une activité essentielle comme suite de sa recherche. La VPI soutient les personnes intéressées à la création de start-up par un grand nombre d’outils et de mécanismes .

Les Innogrants et les XGrants

Depuis 2005, l’outil sans doute le plus important est le programme Innogrants, un financement de pré-amorçage pour les chercheurs et étudiants de l’EPFL ainsi que pour les entrepreneurs extérieurs à l’université. Pour plus d’information, aller sur la page web des Innogrants.

XGrant est un nouveau programme d’encouragement pour les étudiants bachelor et master de l’EPFL pour développer leurs idées tout en gardant comme objectif de créer leur propre entreprise. De l’ordre de CHF10’000 (maximum), ce soutien financier est destiné à soutenir les projets entrepreneuriaux. Afin d’étendre leurs réseaux, les étudiants auront également la possibilité de passer 1 à 2 mois dans la Silicon Valley dans les locaux de Swissnex San Francisco au Pier 17. Bien évidemment, cette opportunité est offerte à un nombre limité d’étudiants via un processus de sélection. N’hésitez pas à nous contacter à xgrant@epfl.ch

L’écosystème entrepreneurial

L’EPFL aide les entrepreneurs au-delà du financement. L’écosystème inclut de nombreux partenaires externes. Pour une connaissance approfondie de cet environnement, merci de visiter la page soutien aux entrepreneurs

Students Entrepreneurship @EPFL

L’écosystème offre de nombreuses opportunités aux étudiants afin qu’ils développent leur qualité entrepreneuriale. Pour plus d’information merci de visiter notre page.

L’importance des « Role Models »

Nous organisons également de nombreux évènements où les entrepreneurs peuvent partager leur expérience  avec notre communauté. Rendez-vous sur la page évènements et notre groupe Linkedin.

Une analyse des spin-offs de l’EPFL et son écosystème entrepreneurial depuis 20 ans.


EPFL Start-up Report (pdf – 2.9Mo)

Prochains Evénements

AMLD

Applied Machine Learning Days 2019

The Applied Machine Learning Days will take place from January 26th to 29th, 2019, at the Swiss Tech Convention Center on EPFL campus. It is now the largest and best-known Machine Learning event in Switzerland, and increasingly recognized as a major event in Europe. The event has a focus specifically on the applications of machine learning and AI, making it particularly interesting to industry and academia.

Saturday & Sunday will be ‘hands-on’ with more than 25 workshops, tutorials, trainings, coding classes and hackathons. The main conference will take place on Monday and Tuesday, with a program featuring amazing speakers, 16 domain-specific tracks (parallel session), poster sessions, a job fair and a special night with Garry Kasparov.

Speakers:
- Garry Kasparov (Chess Grandmaster) 
- Zeynep Tufekci (The New York Times) 
- Jeff Dean (Google) 
- Katja Hofmann (Microsoft Research) 
- Antoine Bordes (Facebook AI Research) 
- Alex "Sandy" Pentland (MIT Media Lab) 
- Yuan (Alan) Qi (Ant Financial) 
- Yuanchun Shi (Tsinghua University) 
- Li Pu (Segway Robotics) 
- Christopher Bishop (Microsoft Research) 
- Evgeniy Gabrilovich (Google) 
- crowdAI winners

Workshops:
Hands-on deep learning with TensorFlow.js / Policy-Making and Data Economy at the city level: utopia or reality? / Applied Language Technologies / Engineering for good - detecting pneumonia in X-Ray images / Advances in ML: Theory meets practice / AI and Healthcare / Industrial open data / Building Private-by-Design Voice Assistants with Snips / Trust In AI - methods and use cases for debiasing and explaining of algorithms / Using PySpark and interactive Jupyter notebook on Amazon Clusters / Tutorial: Build your first predictive model to forecast and detect anomalies / ML in your organization: a practical toolbox to identify and seize highest value opportunities in Machine Learning / PySpark: Big Data Processing and Machine Learning with Python / Enabling Resilience with Remote Sensing / Artificial Curiosity: Intrinsic Motivation in Machines too! / Reatching into the Rabbit Hole: Should we replace teachers with AI? / Machine Learning for fake news detection: theory and practice / TensorFlow Basics - Saturday / TensorFlow Basics - Sunday / Learning and Processing over Networks / Crashcourse in R for machine learning / Machine Learning Competition: Tennis Prediction / Applied Machine Learning for Anomaly Detection on Equipment / Credit Suisse Document Digitization Hackathon / TDA crash course: theory and practice for ML applications / Data exploration and preparation for Machine Learning / Machine Learning in Finance / Blue Brain Nexus, a knowledge graph for data driven projects

Tracks:
• AI & Cities
• AI & Computer Systems
• AI & Environment
• AI & Finance
• AI & Health
• AI & Industry
• AI & Intellectual Property
• AI & Language
• AI & Learning Analytics
• AI & Media
• AI & the Molecular World
• AI & Networks
• AI & Nutrition
• AI & Society
• AI & Transportation
• AI & Trust

Registration is mandatory and includes breakfast, coffee breaks, lunch and refreshments.

Par:See our workshop sessions, the 16 featured tracks and the list of speakers.

FORWARD, the innovation forum for SMEs.

7th of February from 10 a.m. to 5 p.m. at the Swiss Tech Convention Center, EPFL
 
For its 2nd edition, FORWARD - the Innovation Forum for SMEs - will be back at the SwissTech Convention Center on February 7, 2019. With nearly 1’000 participants during the first edition and simultaneous French-German translation, this event intends to be the national meeting point for SME innovation projects. 
 
This is an ideal opportunity for the EPFL community to interact with SMEs and better understand their goals and challenges in terms of innovation. Emphasis will be placed on experience sharing and the initiation of collaborative innovation opportunities.
 
In this year’s edition dedicated to the theme "Digital shift: getting organized to innovate" you will participate in a variety of activities such as inspiring conferences, thematic sessions to further develop the topics and a networking platform. 
 
Register now and benefit of the preferential price of CHF 100.- for students and non-profit organizations.

  • For EPFL researchers wishing to register, please send us a message at: pme@epfl.ch
 Complete program and registration: Forward-sme.epfl.ch