Video streaming:
Au programme de ce meetup nous aurons:
- Julier Grollier qui nous parlera de ses avancées en architectures neuromorphiques pour l'IA,
- Marc Lelarge un des gagnants du hackaton ICU Datathon présenté au meetup en Décembre dernier.
- Quentin Perron qui nous parlera de drug design
Programme détaillé (les présentations seront mises ici avant le meetup)
+ Event extract on Twitter, Serge Nakache
+ Event extract on Twitter, Serge Nakache
General patient representation from electronic health records
We propose a deep learning algorithm to learn a low dimensional representation (embedding) of patients from their raw electronic health records. We evaluate our embeddings with descriptive analysis and a code assignement task. These representations would be reusable for other tasks such as patient similarity for cohort selection, information retrieval, electronic phenotyping, prediction.
New drug design is a long (5 years), costly (50-100M$) and unproductive process (1% success rate from hit to pre-clinical candidate)…
Iktos aims to leverage big data and AI to bring radical improvement to this process. Iktos has invented and is developing a truly innovative and disruptive artificial intelligence technology for ligand-based de novo drug design, focusing on multi parametric optimization (MPO). Our proprietary technology is built upon the latest developments in deep learning algorithms.
In a few hours, our technology can design new, druggable and synthesizable molecules, that are optimized to match all your selection criteria.
In this talk, I will show that magnetic nano-oscillators are promising building block for accelerating deep networks in hardware
Nano neurons, 2 min video (https://www.youtube.com/watch?v=Sm2BGkTYFeQ)
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Ca aura lieu où cet événement?
toutes les infos pour s'inscrire sont ici: https://www.meetup.com/Paris-Machine-learning-applications-group/events/241149416/
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