InstaDeep delivers Artificial Intelligence products for the Enterprise. Our team harnesses the power of deep reinforcement learning to create AI systems that can make decisions in real-life industrial environments. By combining the skills of AI researchers, ML engineers, Hardware and Visualization experts, InstaDeep builds end-to-end products that can tackle the most challenging optimization and automation challenges.
Founded in Africa, InstaDeep knows first-hand what African talent is truly capable of. With proper training and access to high-quality mentors, the continent can rise up to the opportunity offered by AI. To advance this cause, InstaDeep partners with organizations such as Deep Learning Indaba, Google Launchpad Accelerator, Facebook Dev Circles and Data Science Nigeria.
Karim helps companies get a grip on the latest AI breakthroughs and deploy them. A graduate of France’s Ecole Polytechnique and former Program Fellow at the Courant Institute in New York, Karim has a passion for teaching and using applied mathematics. Karim is also the founder of the TensorFlow Tunis Meetup and a Google Developer Expert in ML. He regularly organises educational events and workshops to share his experience with the community, including mentoring in ML at Google Launchpad Accelerator Africa. Karim is on a mission to democratise AI and make it accessible to a wide audience.
Muthoni is the Team Leader for Instadeep in Nairobi. One of her main interests is bridging the skills gap in AI in Africa and she does this by co-organizing the Nairobi Women in Machine Learning community. Through the community, she is able to provide learning, mentorship, networking and job opportunities for people with interests and working in AI. Muthoni joined InstaDeep to continue her work in providing world-class work and learning opportunities for passionate data enthusiasts in Africa as well as continue growing Instadeep’s services to Sub-Saharan Africa. She is experienced in Data Analytics, project and community management.
Amine is Head of AI Product at InstaDeep. His passion for Deep Learning and AI started as a pastime but soon became a full-time commitment. After a strong career record in software development within various industries (semiconductor, consumer electronics, investment banking) Amine left to pursue his new dream: deploy Artificial Intelligence solutions for real life applications. Driven by the possibility of replacing traditional operational research methods with AI, Amine joined InstaDeep in 2016 and is now leading its product development team. He has a Master in Software Engineering and a Master in Business Administration.
Farouq is a Machine Learning Engineer for InstaDeep in Lagos. After about 5 years building applications for enterprises, he decided to rekindle his interest in ML. Since 2014, Farouq has been researching and building Machine Learning models to tackle problems such as credit scoring, recommendations, information extraction and sentiment analysis. He joined InstaDeep for the opportunity to work on Applied Research; solving business problems by pushing the boundaries of the field, and for an environment where growth and development is at the core of the company culture.
Bertrand is InstaDeep’s Chief Solution Officer. Before joining he was with Capgemini Consulting as Chief Data Scientist. Bertrand also spent several years in the financial industry covering for roles in departments ranging from Risk Management to Research and Innovation. Bertrand loves to make a difference and his purpose in life is to take things to the next level. He holds degrees in Management, Economics, Finance as well as PhD and a Habilitation in Applied Mathematics. He is also an active associate researcher at Paris I Pantheon-Sorbonne University, and an Honorary Reader at the University College London in Computer Science.
Alex is a Research Engineer for InstaDeep. He joined in 2017 after pursuing a Master in Artificial Intelligence at the University of Edinburgh. Before that his research focused on Optimization and Machine Learning. Alex’s role at InstaDeep is leading its main research team on deployment of reinforcement learning methods to real-life applications. Alex also holds a BA in engineering and a MEng in Applied Mathematics from UCL, Belgium.
Faten Ghriss is a software engineer at InstaDeep. She has a few years of experience as a backend and data engineer. She’s the co-founder of Young Tunisian Coders Academy, an organization that teaches kids coding, robotics and soft skills, preparing them for the 21st era skills set. Faten also works closely with Facebook, being the Facebook Developer Circle lead in Tunis, an initiative by Facebook to create a community of developers around the world. Faten is very active in the civic society and is involved with different initiatives involving technology and good for the community. Faten has lately been selected as part of the 3 Tunisians out of the 200 African leaders by the Obama Foundation.
Professor Torbjorn Dahl is InstaDeep’s AI & Robotics Research Lead. Before joining, he founded and lead the Cognitive Robotics Research Center at the University of South Wales and was a senior member of the Center for Robotics and Neural Systems at the University of Plymouth, UK. Torbjorn has also worked at the University of Southern California, the Norwegian Defense Research Establishment and Hewlett-Packard’s Lab in Bristol. He has an MEng in AI and Knowledge Engineering from Imperial College, London and a PhD in Machine Learning for Robotics from the University of Bristol. At InstaDeep Torbjorn’s research focuses on reinforcement learning for robots, in particular on temporal neural networks and the use of simulations for training.
We investigate the use of Neuroevolution methods as a competitive alternative to traditional gradient-based reinforcement learning algorithms. Obtained results are promising and encourage us to pursue a new approach focusing on the development of meta-evolutionary algorithms for solving NP-hard problems.
Self-play algorithms such as Alpha Zero and Expert Iteration have successfully solved two-player games but are not directly applicable to single-player problems. We present the Ranked Reward (R2) algorithm introducing a novel population-based performance metric applicable to single-player games. Results from applying R2 on the Bin Packing problem show that it outperforms generic MCTS, heuristics and Deep RL algorithms.
Life and business are all about decisions. InstaDeep harnesses the power of reinforcement learning to create systems that can make decisions on their own, based on their own autonomous training. Many fields can benefit greatly from this technology, be it robotics, mobility, logistics, finance or healthcare.
When you try to deploy AI in your business, compute power is key. A Multi-GPU setup can be messy and complicated. With Nvidia’s DGX-1 (one of the most powerful AI machines on the market), InstaDeep can help you achieve insane computing power to solve even the most intensive AI problems.
Deep Learning delivers high-performance AI for pattern recognition yet is notoriously time-consuming to fine-tune. InstaDeep boosts this process to save you time and money on your computer vision, natural language processing or predictive analytics project.