VENICE AI EXPO
Generative, Biological and Physical AI
How AI learns to perceive, understand, and predict the evolution of the physical world, laying the groundwork for robots, autonomous vehicles, and intelligent machines.
GPU, CPU, NPU, data centers and edge computing: what computing power will be needed to train and operate the new intelligent machines in real time.
How VLA models, imitation learning, and reinforcement learning enable robots to understand instructions and translate them into actions.
Autonomous Delivery: why is it already a reality elsewhere and not in Italy?
The state of the art in humanoid robotics: perception, manipulation, movement, autonomy, and concrete applications in industry, logistics, services, and assistance.
How Physical AI, sensing technologies, and intelligent models are making vehicles, AMRs, drones, and industrial machines autonomous, addressing safety and human interaction.
As simulation, digital twins, and synthetic data allow for the design, testing, and optimization of machines, processes, and Physical AI systems in the virtual world, reducing time, costs, and risks before their actual deployment.
How brain organoids, neural cells, and bioelectronic interfaces are paving the way for new forms of biocomputing, capable of learning, storing, and processing information through biological tissues.
Cloud or private infrastructure? Where should data, models, and business intelligence reside.
Diagnosis, hospital organization, robotics, imaging, and clinical assistance.
Autonomous attacks, AI agents, new risk surfaces, and intelligent defenses.