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Organized by Connect’Innov in partnership with the Biotechpôle of Sidi Thabet, Innov’In Bio took place on 4-5 November and included plenary presentations and panel discussions, as well as a national competition for the best innovative projects in Biotechnology, Health and Well-being. InstaDeep was invited to talk in the session on “Success Stories in Biotech”. Amine… Read more »
InstaDeep is delighted to announce they are making a world-class NVIDIA A100 DGX supercomputing server and on-site support team available at The AI Hub located at the DOT innovation hub in central Tunis, for the exclusive benefit of the Tunisian Artificial Intelligence (AI) and Machine Learning (ML) ecosystem. This has been delivered in co-operation with… Read more »
Continuing the company’s commitment to supporting and building the AI and ML community across Africa following the highly successful IndabaX Tunisia, InstaDeep is also organizing a session as part of IndabaX South Africa 2021. The South African event will run from 3 September – 26 November, and has been organised as an innovative ‘roadshow’ format… Read more »
InstaDeep’s inspirational co-founder and CWO, Zohra Slim, was recently featured on the popular Connecting Africa podcast, hosted by Connecting Africa’s Paula Gilbert, Tobi Lafinhan and Tien Fu. During a wide-ranging conversation, Zohra spoke about her experiences as an African woman in tech, her entrepreneurial mindset and what challenges and opportunities she sees for the wider… Read more »
This October, InstaDeep and IEEE Sup’Com SB co-hosted the second annual IndabaX Tunisia, one of several IndabaX events happening across Africa in 2021. Organised in a novel hybrid format, the multiple presentations were watched by more than 300 attendees both online and in small groups in person across the country, continuing the momentum for AI… Read more »
With the continuous growth of the global economy and markets, resource imbalance has risen to be one of the central issues in real logistic scenarios. In particular, we focus our study on the marine transportation domain and show how Multi-Agent Reinforcement Learning can be used to learn cooperative policies that limit the severe disparity in… Read more »
(Part 2/4) In our introduction to meta-reinforcement learning, we presented the main concepts of meta-RL: Meta-Environments are associated with a distribution of distinct MDPs called tasks. The goal of Meta-RL is to learn to leverage prior experience to adapt quickly to new tasks. In Meta-RL, we learn an algorithm during a step called meta-training. At meta-testing, we apply this… Read more »
(Part 1/4) The recent developments in Reinforcement Learning (RL) have shown the incredible capacity of computers to outperform human performance in many environments such as Atari Games [1], Go, chess, shogi [2], Starcraft II [3]. This performance results from the development of Deep Learning and Reinforcement Learning methods like Deep Q-Networks (DQN) [4] and actor-critic methods [5, 6, 7, 8]. However, one essential advantage of… Read more »
InstaDeep’s Youssef Ben Dhieb recently took to the (virtual) stage to discuss how AI can be used to optimize operations and reduce costs, during the launch event for Nebula AI: a new AI platform developed by the Omani government, and powered by NVIDIA high performance computing hardware (HPC). The event was a hybrid format, with… Read more »
InstaDeep is proud to announce that it is co-hosting the 2021 IndabaX Tunisia with long-time partner IEEE. IndabaX – “a gathering” – will enable Tunisians right across the country to become part of an interconnected community, and develop knowledge about machine learning and AI, and InstaDeep is fully committed to supporting this important aim. IndabaX… Read more »
