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 used reinforcement learning on Cloud TPUs to improve DeepPCB, its AI-driven Printed Circuit Board (PCB) design product. Authors: Armand Picard, Software Engineer Donal Byrne, Senior Research Engineer Alexandre Laterre, Research Lead Vaibhav Singh, Product Manager, Google Cloud TPU The long-term goal of Artificial Intelligence (AI) is to solve complex real-life problems. On the path… Read more »
InstaDeep Research is pleased to announce the open-sourcing of its Nucleotide Transformer on the HuggingFace platform. The Nucleotide Transformer project introduces a collection of four DNA large language models, with parameter counts ranging between 500M and 2.5B, which were developed in collaboration with NVIDIA and the Technical University of Munich. As part of this work,… Read more »
InstaDeep’s research team is off to a great start in 2023 with a new record of four confirmed papers: two papers on the main track, including a spotlight; and two workshop papers, including an oral presentation. ICLR, the globally respected International Conference on Learning Representations, is being held at the Kigali Convention Centre in Rwanda… Read more »
InstaDeep is pleased to announce a new collaboration with the Technical University of Munich and NVIDIA, using the UK-based Cambridge-1 supercomputer to train large language models (LLMs) on diverse genomic datasets to examine the impact of model scale and data diversity on downstream task performance. As part of the work, multiple foundation models for genomics… Read more »
You are what you eat. We’ve all been told this, but the truth is what we eat is often more complex than we are – genetically at least. Take a grain of rice. The plant that produces rice has 40,000 to 50,000 genes, double that of humans, yet we know far more about the composition… Read more »
Each year, the Genetic and Evolutionary Computation Conference (GECCO) gathers the leading global experts in the domain of genetic and evolutionary computing. This year, InstaDeep’s research team presented two main conference papers and one workshop paper at the event, which took place in Boston, MA between 9-13 July. The three works result from a close… Read more »
InstaDeep proudly announces that a co-authored research paper on Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization has been accepted by ICLR and will be presented at a workshop during the week-long event. This latest acceptance – on the tenth anniversary of ICLR – continues InstaDeep’s track record of producing high quality research in collaboration… Read more »