This first research paper focuses on a novel in-silico approach to protein sequence design by combining computational biology with reinforcement learning to develop new therapeutics for infectious diseases. It has been accepted at two NeurIPS workshops, plus a special invitation to contribute in the COVID19 Symposium. This follows the recent announcement from BioNTech and InstaDeep… Read more »
For the third year in a row, InstaDeep’s latest research findings across Deep Learning and Reinforcement Learning have been accepted to the Advances of Neural Information Processing Systems (NeurIPS) conference. The annual event aims to foster an exchange of research and neural information processing systems, and with no less than one paper accepted for the… Read more »
The research, Learning Compositional Neural Programs for Continuous Control, is a collaboration between InstaDeep, Google DeepMind, Sorbonne University and the French National Center for Research (CNRS). It proposes a novel compositional approach to solve robotics manipulation tasks through the solution dubbed AlphaNPI-X, which empirically shows that it can effectively learn to tackle challenging sparse manipulation… Read more »
Cape Town, 01 Oct 2020 – In 2018, Arnu Pretorius broke ground as the first African researcher to get a paper accepted at NeurIPS (Neural Information Processing Systems Conference), one of the most prestigious AI Conferences in the world. With “Critical initialisation for deep signal propagation in noisy rectifier neural networks” (arXiv:1811.00293v2), Arnu, still a… Read more »
