Laboratory Activities & Presentations

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All Themes Infrastructure as a Service Data Privacy IO optimization Virtualization Memory Management in Linux Scheduling Security AI and Health AI and Environment Modélisation mathématique, optimisation et systèmes intelligents Linux Kernel Programming Virtualization and Virtual Machines Security Cloud Computing & Cloud-Native Systems Operating System AI and Agriculture
01 janvier 2024 Séminaire Activity

2024 Research road trip

Cameroun
In the context of the MLNS2 research team, and associated with the École Polytechnique de Yaoundé, David Bromberg and Alain Tchana have made mid-June 2022 a "research road trip" 1of …
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01 janvier 2024 Workshop / Atelier Activity

2024 MLSN2 workshop

Yaoundé
We have organized a workshop IAoundé1 at the Ecole Polytechnique in January 2022 over 3 days. We have designed this event as a free research seminar for participants in Cameroon. …
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01 janvier 2024 Autre Activity

2024 collaboration initiation

Cameroun
In 2024, Thomas Messi, a member of MLNS2, was appointed as the director of the Computer Science Department at ESTLC (Ecole Supérieure de Transport, Logistique et de Commerce) at the …
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01 janvier 2024 Soutenance Activity

2024 Defended thesis

France
This year, two Cameroonian PhD students from the team successfully defended their theses: Josiane Kouam (KrakOS and TRIBE) and Kevin Nguetchouang (KrakOS). Both former doctoral candidates are continuing their careers …
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01 janvier 2024 Autre Activity

2024 visits

Grenoble
Maurice Tchuenté (Senior, 1 day), Raoul Ayissi (Senior, one week), Bernabé Batchakui (Senior, two weeks), Hermann Ngomen (Senior, two weeks), Leonel Moyou (Junior, two weeks)
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01 janvier 2024 Autre Activity

2024 Interns

Grenoble and Rennes
Gaelle Yonga (12 months), Jordan Gounou (PhD), Armel Nguetoum (12months + PhD), Eric Okala (9months + PhD), Donald Onana (6 months), William Batchayon (6 months), Jocelyn Kouayep (6 months), Caleb …
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01 janvier 2024 Hackathon Activity

Frugal and Parallel RNN for Hate Speech Detection

Yaoundé
This research topic focused on two key aspects: parallelization and frugality in artificial learning using recurrent neural networks (RNNs). Participants were tasked with developing models capable of detecting hate speech …
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