Priya Donti, named one of the 100 most influential people in AI in 2025, speaks to Devansh Mittal ahead of the India AI Impact Summit about AI’s energy footprint, grid reliability, and how targeted AI ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

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 ...

Abstract: Vision-language-action models (VLAs) use an end-to-end learning architecture, which can realize the integration of visual perception, semantic understanding and motion control. However, when ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...