Search for a funded project
Deep learning and Deep characterization of Peptides for the control of plant nutrition – DeepPep
Nitrogen (N) and Phosphorus (P) are two major nutrients sustaining food production and consequently human population development. However, N and P provision in agricultural systems have detrimental effects on ecosystems mainly because these nutrients tend to leak in the biosphere due to a deficient
Dynamic Visual Inferences and their Neural implementation – DyVINE
Theoretical framework: Our goal is to clarify the fundamental nature of neural processes in the brain that give rise to intelligent perception, cognition and action through a close integration of compatible theoretical, behavioral and neurophysiological approaches. Hypotheses and objectives: A c
The Artificial Motion Factory – ARTIFACT
Today’s robots are confined to tightly controlled environments, and even the complex choreographies that the Boston Dynamics humanoids flawlessly execute heavily rely on motion capture, handcrafted control strategies, and detailed workspace models, with little place for sensing. To put it bluntly, r
From biological decision making and temporal learning to ultra-edge AI – MicroBrainOnEdge
Centralized AI models are complex, and the computation required to train large AI systems increases tenfold annually. Current foundational models have hundreds of billions of parameters. Trade-offs between computational capability, resources, size, and power consumption (SWaP) will shortly become cr
Combining Artificial Intelligence learning with WEARable devices for improved stress diagnostics – AI-Wear
Wearable Biometric Monitoring Devices (WBMDs) represent a recent alterative for the collection of health-related data from people. WBMDs allow for continuous and real time data collection in natural settings. However, these devices face two key challenges: 1) WBMDs require seamless interfaces that a
Teacher’s Technology Integration Models in Education – Tea-Time
The overall aim of the TEA-TIME (Teacher's Technology Integration Models in Education) project is to support the informed use of technologies, in particular AI-based technologies, for the implementation of the competency-based approach and self-regulatory pedagogies (SRL), for the sectors from prima
Physics-based wireless AI providing scalability and efficiency – PASSIONATE
Summary of the project: Mobile communications have changed, and will continue to change our lives. With 5G under deployment, the interest of the scientific and industrial communities has started focusing on the future 6G communication networks, which will require more advanced capabilities. Achievi
Brain connectivity underlying cognition without a neocortex – EVONECTOME
Tool use behaviors have evolved not only in primates but also in some birds (e.g. parrots and crows) and even in some teleost fish (e.g. wrasses and cichlids). As birds and teleosts do not have a six-layered neocortex, these similar cognitive functions must have evolved independently in the lineages
High prEcision and Robust Blind guidance System – HERBS
According to the World Health Organization (WHO), the number of visually impaired people is expected to triple by 2050, reaching 588M in the world. Today, in France, this population represents 1.8 million people. They remain poorly integrated in our society, in part due to mobility constraints. In f
Inductive Biases for Compositionality-capable Deep Learning Models of Natural Language – COMPO
In Natural language processing, large deep learning-based language models have substantially changed the field in the last few years. However, we observe that these models sometimes fail in cases where humans do not have particular problems. The COMPO project proposes to design new models with b
