Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...

Completing complex tasks in unpredictable settings challenges robotic systems, requiring a step change in machine intelligence. Sensorimotor abilities are considered integral to human intelligence.

This workshop is an introduction to task-based language teaching (TBLT) which is an approach to language teaching that centers on the use of tasks to develop learners' communicative ability in the ...

Abstract: Due to its property of not requiring prior knowledge of the environment, reinforcement learning (RL) has significant potential for solving quantum control problems. In this work, we ...

Nina Greenwood is a passionate educator. Founder and CEO of Happy Plum Language Learning, an Ed-Tech startup based out of Harvard i-lab. The business world continues to increase in global ...

The creator of the well-known framework explains how it helps teachers evaluate the cognitive complexity of a task or assignment—and clears up some misconceptions about it. DOK provides a common ...

The vision for science proficiency presented in A Framework for K-12 Science Education calls for significant shifts in both teaching and assessment. In this paper, we describe an effort to develop and ...