HP Seminar (organized by HP Corporation, US)

Seminar Title: Physical AI: Shaping the Future of Work

Seminar Abstract: As Artificial Intelligence continues to bridge the gap between the digital and physical worlds, Physical AI is emerging as a transformative force in the future of work. This session explores how intelligent systems are reshaping workplaces across diverse environments—from offices to factories and beyond.

Bringing together technical and business perspectives, our speakers will discuss cutting-edge advancements in print, digital manufacturing, and collaborations. Key topics include print in the era of Gen AI, the role of Physical AI in next-generation manufacturing, and the evolution of AI-driven workspaces. Attendees will gain insights into groundbreaking technologies, real-world implementations, and the business strategies driving this paradigm shift.

Join us to explore how Physical AI is redefining work and unlocking new possibilities for industries worldwide.

MERL Seminar (organized by MERL, US)

Seminar Title: Computational Imaging & Learning for Industrial Systems

Seminar Abstract: Computation and learning have become a key component in all stages of the imaging pipeline, from new sensor architectures to inference and control based on the sensor output. MERL has a very broad research program in computational sensing, imaging, and vision, exploring all aspects of the pipeline. Our research advances computation and learning, including optimization, physics-informed machine learning and generative models, to fundamentally change how machines interface with the world around them. In this seminar we will present various components of this work, including single-photon devices, physics-based modeling and data assimilation, multimodal acquisition and processing, and higher-level learning inference tasks. Join us to learn about the fundamental technologies that underpin the next-generation of industrial imaging systems.

NEC Seminar (organized by NEC Corporation, Japan)

Seminar Title: NEC’s AI Technologies and Their Industrial Applications

Seminar Abstract: This industry seminar introduces NEC’s technologies in visual intelligence, machine learning, and biometrics domains. Topics include a novel modeling method for accident anticipation, a cost-effective annotation framework for object detection, a knowledge distillation for noise-robust 3D pose estimation, an efficient feature matching suitable for an image pair with a large scale and rotation gap, and a novel reinforcement learning for low-light image enhancement. Join us to explore groundbreaking research and the practical applications of these technologies.