Machine Learning on AWS Innovate faster with the most comprehensive set of AI and ML services Make accurate predictions, get deeper insights from your data, reduce operational overhead, and improve customer experience with AWS machine learning (ML). AWS helps you at every stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources.

DeepMind is the world leader in artificial intelligence research and its application for positive impact. We’re on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. If we’re successful, we believe this will be one of the most important and widely beneficial scientific advances ever made, increasing our capacity to understand the mysteries of the universe and to tackle some of our most pressing real-world challenges.

The European Space Agency (ESA) is Europe’s gateway to space. Its mission is to shape the development of Europe’s space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world. ESA is an international organisation with 22 Member States. By coordinating the financial and intellectual resources of its members, it can undertake programmes and activities far beyond the scope of any single European country. ESA’s Φ-lab mission is to accelerate the future of Earth Observation (EO) by means of transformational innovations, i.e. innovations that completely transform or create entire industries via new technologies, with the aim to strengthen the world-leading competitiveness of the European EO industrial and research sectors. ESA Φ-lab is a Division in the Future Systems Department of the EO Programmes Directorate. To achieve its mission, Φ-lab manages the full range of the innovation pipeline. We create or discover new transformational ideas, select and nurture the good ones, develop the corresponding “solution” or product by maturing and testing it, and finally we invest in the best ones via the InCubed programme to reach market adoption. ---

Google's mission is to organize the world’s information and make it universally accessible and useful.

G-Research are Europe’s leading quantitative research and technology firm. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. ML is a core driver of our performance and success. Our team includes a range of AISTATS, ICML and NeurIPS published researchers.

Microsoft Research is where leading scientists and engineers have the freedom and support to tackle complex problems that propel innovation and improve lives.

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Relation’s goal is to transform how drug discovery & development are conducted, leading to new medicines for diseases where there is a high un-met need. Relation was founded to bring the power of recommender systems machine learning - highly validated in other domains - to the fundamental problem of target and drug discovery. These methods are highly de-risked, given their established performance in analogous settings. A key blocker to successful application of these methods thus far has been a lack of high-quality data, especially data describing causal relationships.