Updates

Long-term collaboration underpins BioNTech’s strategy to leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to support the discovery and development of novel immunotherapies based on InstaDeep’s DeepChainTM technology platform BioNTech and InstaDeep to establish a joint AI Innovation Lab to advance a portfolio of enterprise-wide digital initiatives in the areas of drug discovery and design, […]

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 […]

The paper, titled “3D Deep Learning for Biological Function Prediction from Physical Fields”, was conducted in cooperation with Machine Learning and Computer Vision researchers from Department of Informatics at Technical University Munich and the Department of Chemistry at Vanderbilt University, with professors Daniel Cremers and Jens Meiler being the senior authors of the work. About the […]

Saturday 17th October saw the InstaDeep Kinase Classification Challenge by UmojaHack Africa unfold with 252 participants, representing 15 universities and engineering schools in Tunisia, working hard to solve a novel problem in biology using Machine Learning. Specifically, the hackathon participants were challenged to determine the structure, behaviour and interaction of enzymes and molecules to predict […]

Language research has made huge strides in recent years, but most of this work has been done on majorly high-resource languages. As new technologies emerge and the digital divide between high-resource and low-resourced languages deepens, it impacts the extent to which users can access information and communicate with these technologies.  On 17th October, we will […]