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UW study finds touch screens in cars create a multitasking problem that impacts driving

Shock, horror! In-car touchscreens are way more distracting than we first thought, says new study

Drivers struggle to multitask when using dashboard touchscreens, study finds

Robotics as a Service (RaaS) Market to Reach USD 6.22 billion by 2032, Growing At An 16.89% CAGR - Credence Research

Research Scientist, Trustworthy Learning under Uncertainty (TLU) - Large Behavior Models

Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative research in robotics and machine learning. They are seeking a Research Scientist to conduct cutting-edge research on the reliable deployment of large behavior models in robotic manipulation, aiming to enhance the trustworthiness of these models in human environments.

Robotics Machine Learning Research Scientist - Large Behavior Models

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative tools and capabilities. They are seeking a Robotics Machine Learning Research Scientist to develop general-purpose robots capable of dexterous tasks using machine learning foundation models.

Automated Driving Advanced Development Intern, Machine Learning Research

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative research and development. The Automated Driving Advanced Development division is seeking Machine Learning Research Interns to contribute to the implementation and evaluation of ML-based components for autonomous driving systems.

Senior AI Research Scientist – Human Behavior and Carbon Neutrality

Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative technology. They are seeking a Senior AI Research Scientist to work at the intersection of social science and generative AI, developing models to understand and predict human behaviors related to carbon neutrality.

Human Interactive Driving Intern – Localization and Mapping

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative technologies. The internship focuses on developing new perception, modeling, and control methodologies for high-performance driving to enhance vehicle safety and performance capabilities.

Research Scientist, Computational Cognitive Scientist

Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative tools and capabilities. They are seeking a Computational Cognitive Scientist to lead the development of computational models that emulate human cognition and preferences, utilizing large language models and multimodal learning systems.

Research Scientist,  Computational Cognitive Scientist

Robotics Intern - Dynamics and Simulation

Toyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative technologies. The Robotics Intern will collaborate with software engineers and research scientists to develop accurate and reliable simulation tools, contributing to advancements in the field of robotics and simulation.

Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative tools and capabilities. They are seeking Machine Learning Research Interns to contribute to the development of end-to-end ML models for automated driving systems, collaborating closely with researchers and engineers to ensure robust deployment of these models.

Robotics Intern - Large Behavior Models, Generalizable 3D Representations (G3R)

Toyota Research Institute (TRI) is focused on improving the quality of human life through innovative research and development. The Robotics Intern will collaborate with a multidisciplinary team to conduct research in 3D perception and representation learning, aiming to contribute to high-impact publications and TRI's mission in robotics.

Postdoctoral Researcher - Robotics, Learning From Videos (LFV)

Toyota Research Institute (TRI) is dedicated to improving the quality of human life through innovative technologies. The Postdoctoral Researcher in the Learning From Videos (LFV) team will focus on developing foundation models for multi-modal data to enhance spatio-temporal reasoning and contribute to high-risk, high-reward projects in robotics and AI.