DataMesh, a leading digital twin and spatial intelligence technology provider, today announced the launch of DataMesh Robotics, an embodied AI data product solution designed for industrial and ...

Learning curves for experienced laparoscopic surgeons transitioning to the robotic platform are still unknown. With the new availability of objective performance indicators (OPIs), which provide ...

What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

Storybooks and vivid illustrations can spark so much imagination and creativity. Reading is a treasured pastime of many and a vital skill for all. It is a big part of many classrooms, too. One way to ...

Does TRL support multi-objective reinforcement learning to align a large language model? For example, if we want to align a machine translation model to maximize three metrics: faithfulness, ...