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Trustworthy Distributed Brain-inspired Systems: Theoretical Basis and Hardware Implementation – TruBrain
**Summary** Artificial Neural Nets (ANNs) are at the core of an increasing number of applications integrated with critical systems and using sensitive user data, making security and privacy concerns critical. Compromising a classifier for object detection in a robotic application can lead to sa
Timed decisions: causal mechanisms and TAGging of neuronal ensembles in the prefrontal cortex – TimeTag
As a key property of the nervous system, timing is essential in decision sequences, and is impaired in many neuropsychiatric conditions. Yet timing is poorly understood and is a difficult capability to control in artificial intelligence. Causally linking brain activity and decision timing could ther
Socio-Inspired Neural Networks for Conversational Systems – SINNet
A single lack of social tact from a conversational system (chatbot, vocal assistant, social robot) can provoke a decrease in the user’s trust and engagement towards the system. This lack of social intelligence hampers a large audience’s willingness to deem conversational systems acceptable. In order
Neuro-Incremental Reinforcement Learning from Human Preferences – NeuRL
In the near future, intelligent agents will be ubiquitous in our daily lives, replacing or assisting humans on a variety of tasks. Reinforcement Learning (RL) is a framework for learning such sequential decision making tasks from data. RL has had several achievements, particularly in game domains,
Explainable AI through Variable Importance Tests – VITE
The use of Artificial Intelligence (AI) techniques in natural sciences have become pervasive, owing to their ability to perform prediction of a given outcome given some potentially complex input data. However, for the sake of scientific knowledge, AI cannot be used as a ready-made recipe, but shoul
Artificial Intelligence & Optics LaboratorY – AIOLY
In 2050, France aims to achieve carbon neutrality through an ecological transition. At the heart of the key challenges of this transition, the circular economy relies on the reuse of resources, products, and waste to provide an alternative to the disposable model. Sorting, therefore, becomes a cruci
Grain and food storage: co-design of local, resilient and low-carbon innovations by capitalizing on ancestral techniques, farmers' know-how and collective intelligence. – LocaStock
Storing grains and foodstuffs in local, healthy, resilient, low-carbon conditions, and without using fossil fuels, is a major challenge not only for food security and sovereignty, but also for the famous "One Health" concept. Yet very few scientific and technical references are available on this to
The Symphony of the Senses – MusicBrain
The Symphony of the Senses Under the control of our auditory system, music is experienced differently by each of us. It involves the nerve pathways of the reward circuit leading to pleasure seeking. Several neurotransmitters that are common to other forms of pleasure, such as eating, play a major
Edge computing using biological neurons – IRVIN
AI is used on a large scale on a daily basis to perform various learning and classification tasks. As a result, computing power requirements increase exponentially. It therefore becomes mandatory to explore energy-efficient alternatives. The neuromorphic community tries to get closer to biological e
Strategies for desealing soils in urban areas: stakeholder co-construction method – PERMEPOLIS
In cities, the problems caused by soil sealing (flooding due to rainwater run-off, the effects of urban heat islands on the well-being of residents) are being exacerbated by climate change. Consequently, unsealing surfaces has become a necessity. However, unsealing also comes with potential disadvan
