InstaDeep partners with École Polytechnique and supports student’s open day

As a partner to the top-ranked French University, École Polytechnique, InstaDeep today participated in the elite institution’s open day for its 2nd-year students! By presenting some of our cutting-edge research and client projects, six InstaDeepers interacted with the university’s current engineering students showcasing AI opportunities across multiple fields.  Harvesting Big with AI Helping companies harvest… Read more »

InstaDeep contributes to new open-source deep learning toolkit for medical image registration

Published in the Journal of Open Source Software November 2020, DeepReg: A deep learning toolkit for medical image registration is a product of a close collaboration between InstaDeep and world-leading research institutes University College London, King’s College London, and Massachusetts Institute of Technology. The work was led by Yunguan Fu, Research Engineer at InstaDeep. Deep… Read more »

Quarterly Digest #8

Welcome to the eighth edition of InstaDeep’s quarterly newsletter – the Quarterly Digest. Here you can keep up to date on our recent achievements, corporate developments and general news over the last few months from across our offices in Europe, the Middle East and Africa.

InstaDeep forms strategic Partnership with Seed Group in the UAE

InstaDeep has entered into a strategic partnership with Seed Group, a company of the Private Office of Sheikh Saeed bin Ahmed Al Maktoum, to further accelerate the UAE’s digital transformation efforts and assist InstaDeep in expanding its footprint in the Middle East region. The collaboration will give InstaDeep greater access to enterprises in various industries… Read more »

InstaDeep named in the ‘AI in Logistics Innovation Landscape 2021’ thanks to its ‘unique’ approach

Data Root Lab has created the list of 100 global startups based on public information from sources including Crunchbase and others. It features companies who are disrupting the market bringing unique approaches of AI implementation to the enterprise space, with InstaDeep amongst only four UK companies featured. InstaDeep has been working in the logistics space… Read more »

First Joint InstaDeep-BioNTech research paper accepted at the NeurIPS AI conference

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 »

NeurIPS 2020: InstaDeep with record contribution including spotlight talk and five poster presentations

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 »

BioNTech and InstaDeep Announce Strategic Collaboration and Form AI Innovation Lab to Develop Novel Immunotherapies

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 »

InstaDeep-DeepMind Paper accepted at NeurIPS 2020 Workshop

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 »

Biotechnology Computer Vision Research Accepted to 3DV

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 »