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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
Reducing Noise with Augmented Reality – ReNAR
Noise pollution has a significant impact on quality of life. In the office, noise exposure creates stress that leads to reduced performance, provokes annoyance responses and changes in social behaviour. Headphones with excellent noise-cancelling processors can now be acquired in order to protect one
Efficient self-supervised learning for inclusive and innovative speech technologies. – E-SSL
Following previous major advances, self-supervised learning (SSL) has recently emerged as one of the most promising artificial intelligence (AI) methods. With this technique, it becomes feasible to take advantage of the colossal amounts of existing unlabeled data to significantly improve the results
AdaPting and exPLaining fairnEss for Preference-based assIgnmEnt – APPLE-PIE
Many real-life applications deal with preference-based assignments. In such multi-agent problems, agents have preferences over items (activities, resources, or even other agents), and these preferences must be aggregated into a collective decision which is an assignment of agents to these items. One
Participation of Urban Agricultures in research on Zero-phyto FRUIT production – PAUZAFRUITS
Today, producing fruit without plant protection is a global challenge, a consequence of the development of intensive monoculture and the massive use of synthetic pesticides, which is reinforced by the effects of climate change. Therefore, the need for experimentation on innovative agroforestry orcha
Environmental Migrations and VOlcanic DIsasters in VAnuatu: a multiple perspective – EMVOLDIVA
This project comes at a time when social and ecological crises are about to increase, making it urgent to better understand the relationship between humans and their environment, especially when it is threatened by extinction. Vanuatu is the most exposed country to ‘natural’ disasters. Between 2017
Smart photonic designs for next generation Kerr frequency combs – SMARTKOMBS
Lasers have revolutionized our civilization, allowing us to communicate faster, to probe and cool atoms, or to measure time and distance with unprecedented precision. These advances have been made possible by optical frequency combs, which establish a direct and coherent link between the optical dom
Satellite imagery strategies for earthquake strong-motion prediction and shakemap generation – SASHA
Although shakemaps are of great interest for large-magnitude earthquakes where the ground motion is mainly controlled by the rupture on the fault, their relevance for moderate-size events is still questionable. So far, the implemented ground-motion prediction does not have the necessary spatial reso
Digital Literacy, Misinformation and Governance – DIGILITERACY
The unprecedented pace of innovations and the widespread adoption of information and communication technologies (ICTs) worldwide have given rise to a unique set of opportunities for governance. Governments have harnessed these technologies to streamline processes and enhance online access to public
Deep Learning for Analysis of Electron Microscopy Imaging of Nanoalloys – Nano-Insight
Nanoalloys, owing to their unique properties, have applications in catalysis and sensing. The crux of maximizing their potential lies in the ability to design them with precise size, morphology, and chemical composition. Although several synthesis methods exist, a comprehensive characterization tech
