The RoboCup Humanoid League holds annual soccer robot world championships towards the long-term objective of winning against the FIFA world champions by 2050. The participating teams continuously improve their systems. This paper presents the upgrades to our humanoid soccer system, leading our team NimbRo to win the Soccer Tournament in the Humanoid AdultSize League at RoboCup 2023 in Bordeaux, France. The mentioned upgrades consist of: an updated model architecture for visual perception, extended fused angles feedback mechanisms and an additional COM-ZMP controller for walking robustness, and parametric in-walk kicks through waveforms.

We introduce novel methods for state estimation, feedforward and feedback control, which specifically target humanoid robots with hardware limitations. Our method combines a five-mass model with approximate dynamics of each mass. It enables acquiring an accurate assessment of the centroidal state and Center of Pressure, even when direct forms of force or contact sensing are unavailable. Upon this, we develop a feedforward scheme that operates on the centroidal state, accounting for insufficient joint tracking capabilities. Finally, we implement feedback mechanisms, which compensate for the lack in Degrees of Freedom that our NimbRo-OP2X robot has. The whole approach allows for reactive stepping to maintain balance despite these limitations, which was verified on hardware during RoboCup 2023, in Bordeaux, France.

Rob\^oCIn has participated in RoboCup Small Size League since 2019, won its first world title in 2022 (Division B), and is currently a three-times Latin-American champion. This paper presents our improvements to defend the Small Size League (SSL) division B title in RoboCup 2023 in Bordeaux, France. This paper aims to share some of the academic research that our team developed over the past year. Our team has successfully published 2 articles related to SSL at two high-impact conferences: the 25th RoboCup International Symposium and the 19th IEEE Latin American Robotics Symposium (LARS 2022). Over the last year, we have been continuously migrating from our past codebase to Unification. We will describe the new architecture implemented and some points of software and AI refactoring. In addition, we discuss the process of integrating machined components into the mechanical system, our development for participating in the vision blackout challenge last year and what we are preparing for this year.

Be part of our mission to disrupt the healthcare and democratize the data driven medicine! SOPHiA GENETICS is looking for a Data Management Intern to join the Clinical Operations (ClinOps) Team to support activities related to multimodal projects leveraging on the aggregation of clinical, biological, imaging and genomics data. Combining high-quality data for each individual to generate multimodal insights, SOPHiA GENETICS harnesses the power of advanced AI and machine learning models. You will gain and benefit from experience in clinical study management across a wide range of trainings and activities involvement (regulatory, data management, biostatistics, legal, quality, finance, etc). You will be joining an organisation with the patient at the heart of every decision and action, driven by purpose as we drive exponential growth.

Would you like to join a dynamic and exciting health-tech company that uses cutting edge technologies to deliver a world changing solution that has a direct impact on the lives of cancer and rare disease patients worldwide? Join our growing team in Pessac (near Bordeaux, France) and use your exceptional abilities and knowledge skills to help us deliver on our mission of democratizing Data-Driven Medicine. We are looking for a talented and motivated Data Scientist / Biostatistician in Pessac (near Bordeaux, France)! SOPHiA GENETICS introduced the SOPHiA DDM platform height years ago. Today, the solution not only enables to integrate and visualize multiple data modalities, such as clinical, biological, genomics or medical-image data, but also to process relevant multimodal features and obtain multimodal insights using statistical learning.

Members of the scientific and military communities from approximately 20 NATO countries came together to discuss leading developments in big data and artificial intelligence (AI) at the NATO Science and Technology Organization's specialists meeting, Big Data and Artificial Intelligence for Military Decision Making, from May 30 – June 01, 2018 in Bordeaux, France. Over the three day seminar, approximately 300 experts and researchers in data, artificial intelligence, modeling and simulation, and military operations discussed how technology, data and machine learning are increasingly influencing the trajectory of modern warfare – and the inherent risks and challenges involved. The meeting's purpose was to better inform technology acquisition, funding, and operational decisions within the NATO community. Specific topics focused on systems and operations, human-machine interface, security, and enabling technologies. Secretary of the Air Force for Operational Energy, Roberto Guerrero, led the senior leader panel on June 01.

At a large wine chateau in the region of Bordeaux, France, busy robots use artificial intelligence and other technologies to pick and screen grapes as well as make wine. The chateau might be the world's first such facility to use AI to improve and optimize grape planting and wine brewing, said Zhou Jinting, chairman of Shanghai Hefu Holding (Group) Co Ltd, at the World Robot Conference in Beijing last month. Hefu bought the chateau last year. Zhou said he believes the rapid development of AI, robotics, intelligent machines, big data and cloud computing will bring revolutionary changes to the wine industry as well as a wide range of traditional industries. The chateau is a pilot project of Hefu's AI and robotic technologies that are applied in changing traditional production methods.