The 39th Annual Conference on Neural Information Processing Systems (NeurIPS) was capped off by a series of firsts for the InstaDeep team, with researchers leading the way in exchanging ideas and showcasing innovation within the AI community during our visit to the San Diego Convention Center from the 02-07 December. With five workshops, three accepted… Read more »
Combinatorial optimisation (CO) problems are among the hardest challenges in computer science, with real-world importance in logistics, transport, and energy systems. These problems involve choosing the “best” option from an astronomically large set of possibilities and are often NP-hard, meaning they become computationally intractable as the problem size grows. Neural solvers, advanced AI approaches designed… Read more »
Reinforcement learning (RL) has delivered some of AI’s most striking successes, from human-level Atari 1 play to world-class performance in Go2. Yet when applied to messy, real-world combinatorial optimisation (CO) problems such as energy grid management or autonomous logistics, even state-of-the-art RL systems can stall. Despite being trained to convergence, policies often hit a performance… Read more »
Multi-agent reinforcement learning (MARL) holds significant promise across domains such as autonomous driving, warehouse logistics, intelligent rail networks, and satellite alignment. Yet deploying MARL in the real world remains difficult. Training typically requires vast amounts of interactive data, which is both costly and potentially risky, particularly in safety-critical settings where trial and error is not… Read more »
From our beginnings to becoming a key player in AI, supporting new research spaces and sharing what we’ve learnt in AI has always been at the core of InstaDeep’s DNA. This year, our journey brings us to the Vancouver Convention Center, Canada for the 38th annual Neural Information Processing Systems (NeurIPS) conference from December 10… Read more »
Two InstaDeep Tunis-based AI researchers will present at NeurIPS 2023 NAML: North African Machine Learning workshop on multi-script handwriting recognition and what happens Multi agent Reinforcement Learning is built on economic theories. The pair’s different research interests illustrate the breadth of AI research happening in North Africa. Oussama Mahfoudhi looks at the logic of language… Read more »
“It became essential for me to enter AI, not just as a career choice, but as a commitment to contribute to making the field more gender-balanced. I believe that a diverse and inclusive AI community fosters innovation and ensures a broader spectrum of perspectives in addressing global challenges.”
This year’s submissions reflect the depth and breadth of InstaDeep’s research efforts, ranging from groundbreaking developments in Decision-Making AI to breakthroughs in Machine Learning for Biology.
InstaDeep is pleased to announce that a record five of its AI research papers have been accepted for presentation at the Thirty-sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022) with two papers in the main track and three workshop papers, including one authored in collaboration with BioNTech as part of our joint AI Innovation… Read more »
InstaDeep is very pleased to announce that it has had a paper accepted at this year’s NeurIPS conference. The paper’s lead authors are Rihab Gorsane, Omayma Mahjoub (former intern and now permanent member of the research team) and Ruan de Kock. Rounding out the list of key contributors are Roland Dubb (an intern at the… Read more »