Résultat scientifique

Une équipe de l'I2BC propose une expérience de pensée -le problème d'échecs Next Generation Sequencing- qui considère les données de séquençage comme une image superposée de plusieurs parties d'échecs indépendantes. Une approche plus réaliste de la dynamique des processus cellulaires au sein de chaque cellule qui révèle les limites des approches NGS d’analyse temporelle.

Scientific result

A team from I2BC has proposed a thought experiment -the Next Generation Sequencing chess problem-, which treats sequencing data as a superimposed image of several independent chess games. A more realistic approach to the dynamics of cellular processes within each cell, revealing the limits of NGS approaches to temporal analysis.

News

Researcher engineers at CEA-Leti have developed an innovative keyword detection circuit designed to operate with ultra-low power consumption. This cutting-edge technology leverages advanced circuit architectures to enhance the efficiency and autonomy of embedded AI systems. By combining frequency-based signal extraction with neural network processing, this system provides high recognition accuracy while consuming significantly less energy and requiring less surface area than existing solutions.