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The Brevan Howard Centre for Financial Analysis dramatically enhances Imperial College Business School's expertise in financial economics and strengthens ties with other disciplines including engineering and computational finance. A key objective of the new initiative will be to disseminate rigorous, world-class research to reach and engage business practitioners, policy-makers, legislators and the wider public, as well as other academic experts. The Centre serves as a bridge between Imperial College Business School and the world of business, aiming to develop a greater understanding and more efficient management of risk, and to promote investment and productivity. The mission statement of the Brevan Howard Centre reflects its wide ranging interests. It lays out three broad streams of research that the Centre hopes to promote Financial Stability and Financial Regulation, Comparative Financial Systems and Designing New Financial Structures and Financing Development, Environmental Protection, Medicines.
Established in 1997, Microsoft Research Cambridge is part of one of the world’s largest, most respected software research organisations, and home to world-class expertise in a number of research areas, including machine learning, systems, privacy and user experience to name a few. It is focused on three core research objectives: to apply artificial intelligence to improve people’s lives; to invent intelligent infrastructure for the cloud; and to transform how we work by bringing humans and machines together. In close partnership with product teams from across the company, outputs from the lab have contributed to some of Microsoft’s most successful products and services.
G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse Big Data. What we create today, predicts tomorrow. Our Research division use the latest scientific techniques and Big Data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets.
PROWLER.io, an AI company in Cambridge, UK, is helping leaders and organizations make better business decisions. VUKU, our decision-making engine, has broad applications across industries and can process data in real time, adapt to uncertainty, act on sparse information and learn from experience. PROWLER.io is a research-driven organization that has generated almost 40 peer reviewed papers. Our goal is to ensure that business is powered by people; empowered by AI.
DeepMind is on a long-term mission to solve intelligence. We combine the ambitious and interdisciplinary nature of scientific thinking with the energy and focus of a technology start-up to create an inspiring environment where pioneering research and engineering can flourish. This approach sits at the heart of our progress so far, with cutting-edge advances across fields - ranging from deep reinforcement learning and neuroscience to robotics and safety - coming together to create increasingly general-purpose learning systems that can be applied to solve challenges in science, healthcare, and energy.
Bloomberg is building the world's most trusted information network for financial professionals. Among our 5,000+ software engineers, Bloomberg employs 100+ data scientists and research engineers who employ machine learning and natural language processing to solve complex, real-world problems related to core document understanding, recommendation, and customer-facing systems.
Babylon Health's mission is to put an accessible and affordable healthcare service in the hands of every person on earth. Babylon uses a combination of unique AI technology and the best available medical expertise to deliver 24-hours-a-day, 7-days-a-week access to digital health tools, personalised assessments and virtual doctor consultations. Babylon partners with government health authorities, leading insurers and businesses around the world.
AI Journal Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes foundational and applied papers describing mature work involving computational accounts of aspects of intelligence.
Volkswagen Group AI Research in the Munich Data:Lab conducts fundamental machine-learning research, working towards artificial intelligence. The department, lead by Patrick van der Smagt, exploits and develops methodologies including deep learning, probabilistic inference, time series modelling, optimal control, and quantum machine learning. The methodologies are validated in robotic and complex sensor settings, to subsequently be applicable to a large number of data-related problems. Strong connections to universities and research labs worldwide are key to its research. The developed methods and technologies are not only published and open-sourced, but also available for deployment with partners within the Group. Reach us at https://argmax.ai.
Element AI delivers AI products that augment decisions to make business stronger, safer and more agile. With a streamlined operations model, the company turns academic research and deep industry expertise into products that help organisations better navigate complexity. The suite of AI products augments decision making for roles across every organization, with focus industries on supply chain and financial services. Element AI was co-founded in 2016 by seasoned entrepreneur JF Gagné and leading AI researcher Yoshua Bengio in the deep learning hub of Canada with the unique mission to increase collective intelligence with a non-predatory, collaborative research model.
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, personalized recommendations, Prime, AWS, Kindle, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon.
InstaDeep delivers customised AI solutions tailored to your business needs, using the latest technology and novel AI algorithms. With an ambition to solve a wide range of prediction, classification and optimisation problems for our corporate partners, our expertise allows you to unlock data insights, realise value, and increase efficiency and speed across the organisation. As an industry-agnostic business, our expertise spans across Logistics and Mobility, Financial Services, Retail, Aviation and other industries. InstaDeep’s solutions have been internationally implemented and include optimised pattern-recognition and GPU-accelerated insights, to self-learning recommendation and decision-making systems.