engblogs

Exploring the economic impact assessment of code generation models in research agenda

Training agents for real-time cultural transmission without human data using deep reinforcement learning.

This technical blogpost discusses the new features and changes in Chrome 100 Beta, including reduced User-Agent Strings, Multi-Screen Window Placement, and more. It also covers origin trials, other features in this release, and deprecations and removals.

Exploring the framework for evaluating the financial effects of code generation models

Exploring language model safety and misuse for AI developers.

Using deep reinforcement learning to enable artificial agents to learn and transfer cultural knowledge in real time.

Understanding the self-training algorithm, a powerful paradigm for semi-supervised learning and domain adaptation, that leverages unlabeled data to improve accuracy.

Probing Image-Language Transformers for Verb Understanding - Research on multimodal transformer models' verb understanding using the SVO-Probes dataset.

Investigating the ability of pretrained multimodal Image-Language transformers to discern verbs in sentences using a dataset of image-sentence pairs.

A blogpost providing links to papers, videos, and blogs from the Stanford AI Lab being presented at the 36th AAAI Conference on Artificial Intelligence (AAAI 2022).

Accelerating fusion science through learned plasma control using deep reinforcement learning

Using deep reinforcement learning to successfully control nuclear fusion plasma in a tokamak and accelerate fusion science.