ANITI, Artificial and Natural Intelligence Toulouse Institute, is the interdisciplinary artificial intelligence institute of Toulouse. Held by the University of Toulouse, is based on 3 main pillars: scientific research, training and contribution to economic development.
ANITI aims to develop a new generation of hybrid artificial intelligence integrating data driven learning techniques and symbolic or mathematical models that permit us to express constraints and to carry out logical reasoning. ANITI also has ambitious aims with regard to education and industrial development.
The Institute has targeted two main application sectors:
- intelligent mobility and transport
- robotics/cobotics for the industry of the future.
ANITI aims to promote exchanges between industrialists who address their problems to scientists and academics in order to develop new markets and new technological applications.
The Institute’s scientific project is articulated around three major research programs: Acceptable AI, Certifiable AI and Collaborative AI.
The objective of these programs is to provide better guarantees in terms of reliability, robustness and ability to explain and interpret the results of systems integrating artificial intelligence algorithms, while ensuring their social acceptability and economic viability. Such guarantees are required by many applications such as autonomous transport, industry of the future, health, environment, space, insurance, etc. This approach will also facilitate decision support and optimize the performance of industrial systems and processes.
For further information https://www.youtube.com/watch?v=cqi6JtR229Y&t=11s
ANITI AT A GLANCE
KU Leuven boasts a rich tradition of education and research that dates back six centuries and is currently the largest university in Belgium in terms of research funding and expenditure and is a charter member of LERU.
KUL is renowned for its pioneering work on hybrid AI, in particular probabilistic programing, statistical relational learning, predictive learning, decision-focussed prediction, and verification of ML systems. KUL also has extensive experience of application domains that are particularly relevant to TUPLES such as sports analytics and logistics.
The Machine Learning Group is part of the Declarative Languages and Artificial Intelligence section in the Department of Computer Science at KU Leuven. The group is represented in the TUPLES project by Prof. Jesse Davis and Prof. Tias Guns.
Prof. Davis research focuses on developing novel artificial intelligence approaches for analyzing structured data and integrating learning and reasoning for tasks with a particular emphasis on designing trustworthy systems. His work on sports analytics has received significant interest and has been covered by media in venues like the Economist, fivethirtyeight.com, The Athletic, ESPN.com, and The New York Times.
Prof. Guns research is at the intersection of machine learning and combinatorial optimisation. Tias’ expertise is in the hybridisation of machine learning systems with constraint solving systems, more specifically building constraint solving systems that reason both on explicit knowledge as well as knowledge learned from data. He is the lead developer of the CPMpy constraint programming and modelling environment and was awarded a prestigious ERC Consolidator Grant on Conversational Human-Aware Technology for Optimisation.
KU Leuven Website
Saarland University (Universität des Saarlandes – UdS) is one of the leading sites for Computer Science (CS) in Germany (with 2 of the 3 CS Max-Plank Institutes, and the new Cispa Helmholtz center for information security). It is also one of the world’s foremost institutions in automated planning, covering many aspects including classical planning, planning under uncertainty, the integration of planning and learning, and the verification and explanation of plans.
The Foundations of Artificial Intelligence (FAI) Group is part of the Saarland Informatics Campus at Saarland University.
Most work of FAI is concerned with complex decision-making problems, specifically planning problems (also known as sequential decision making), where an agent must decide how to act in an environment so as to achieve its goals.
FAI is mostly considering general AI planning problems where the agent must have generic decision-making capabilities, not specialized to a particular domain. In the last few years, FAI is increasingly focusing on neural networks and reinforcement learning, specifically their combination with symbolic methods to various forms of neuro-symbolic AI. One aspect FAI is especially interested in are techniques to achieve Trusted AI, like e.g. explanations of the generated behavior.
Saarland University website
The Alma Mater Studiorum – Università di Bologna (UNIBO) was founded in 1088 and is considered the oldest university in the western world. Today, UNIBO is one of the most important universities in Europe and the second-largest university in Italy.
UNIBO is organised in a multi-campus structure with 5 campuses and also has a permanent headquarters in Buenos Aires since 1998: 11 schools, 33 departments, 12 research and innovation centres and more than 84,000 students.
Thanks to its research teams, support staff, and network of relationships with academia, industry, civil society and the region, the University of Bologna has participated in Horizon 2020, achieving remarkable results: more than 300 funded projects, over 140 million euros in European funding and a network of more than 2,700 partners.
Airbus is an international pioneer in the aerospace industry and Europe’s main commercial aircraft manufacturer. Airbus aims to be the first to offer a zero-emission commercial aircraft by 2035 and is working on ZEROe concept aircraft powered by hydrogen.
Headquartered in Toulouse, Airbus is a global leader in aeronautics, space and related services.
• Operates in more than 180 locations worldwide with 131.349 employees
• has two Divisions: Airbus Helicopters and Airbus Defence and Space.
• maintains a presence on every continent.
The AI Research team within Airbus has substantial experience in research, development and demonstration of innovative solutions to scheduling problems (airline fleet management, satellite operation scheduling, flight test scheduling, manufacturing task scheduling), planning problems (aircraft 4D flight planning, taxiing path planning, manufacturing robot configuration and path planning), explainable scheduling and reinforcement learning (manufacturing applications), and robustness, safety and certification in machine learning (image applications mainly).
Founded in 2013, SciSports is one of the fastest growing sports analytics companies in the world and a leading provider of football data intelligence to over 100 professional football organisations worldwide ranging from clubs, leagues, federations, agencies and media & entertainment companies. Our industry-leading product suite enables sports professionals to make better-informed decisions and achieve their goals in scouting and performance analysis every single day. The SciSports team consists of specialists in artificial intelligence, data analytics and data scouting.
Founded in 2007 as a spin off of the Operations Research (OR) team of the University of Bologna, Optit develops innovative Decision Support Systems that leverage on forecasting, data analytics, machine learning, simulation and optimization techniques and Artificial Intelligence at large.
The company currently employs more than forty young talents, based in Bologna and Cesena, integrating mathematical and modeling experts, data scientists, a full stack software development factory made of 4 agile teams and numerous business and management consultants with specific expertise in project and change management as well as specific know-how in the main vertical markets.
The Company operates in various industries, with a distinctive offering in transportation and logistics, energy, and environmental services, acting as digital innovation partner for many important enterprises, utilities and industrial players in Italy and abroad. It also participates as WP leader in numerous EU funded projects, mostly in the Energy sector (UpgradeDH https://www.upgrade-dh.eu/en/home/ and PlaMES https://plames.eu/) and industrial retrofitting of Resource and Energy Intensive Industries (Retrofeed), aiming to leverage on digitalisation and analytics to support decarbonisation and circular economy advancements.
Optit is one of the founders of the EURO Forum on Practice of Operations Research https://www.euro-online.org/websites/or-in-practice/ and manages several collaborations with universities and research institutes at national and international level to transfer know-how into the markets, fostering operational excellence and effective decision making, transforming data into tangible economic value (as well as environmental and societal benefits).