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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 »
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,… 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 »
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… Read more »
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… Read more »
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… 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 »
InstaDeep’s CEO and Co-Founder Karim Beguir talked to AI TV’s Dr Nick Bradshaw during AI Expo Africa. Together they discussed the state of African AI innovation in deep tech and also the exciting things in the pipeline for InstaDeep. Hear for yourself in the video above! (The interview is also available on YouTube)
With the huge success of NVIDIA’s first virtual GTC conference in March earlier this year, following the outbreak of Covid19 which made the traditional in-person format impossible, the company recently announced a second virtual conference will take place from 5-9th October. As a Service Delivery Partner to NVIDIA, InstaDeep is thrilled to announce we are… Read more »
