Flexible supercapacitors, as one of most promising emerging energy storage devices, are of
great interest owing to their high power density with great mechanical compliance, making …

Global energy demand and environmental concerns have stimulated increasing efforts to
produce carbon-neutral fuels directly from renewable resources. Microbially derived aliphatic …

The common carp, Cyprinus carpio, is one of the most important cyprinid species and globally
accounts for 10% of freshwater aquaculture production. Here we present a draft genome …

Planar supercapacitors have recently attracted much attention owing to their unique and
advantageous design for 2D nanomaterials based energy storage devices. However, improving …

In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 infection
occurred in Wuhan, Hubei Province, China, and spread across China and beyond. On …

Large language models can encode a wealth of semantic knowledge about the world. Such
knowledge could be extremely useful to robots aiming to act upon high-level, temporally …

By transferring knowledge from large, diverse, task-agnostic datasets, modern machine
learning models can solve specific downstream tasks either zero-shot or with small task-specific …

We study how vision-language models trained on Internet-scale data can be incorporated
directly into end-to-end robotic control to boost generalization and enable emergent semantic …

Large language models can encode a wealth of semantic knowledge about the world. Such
knowledge could be extremely useful to robots aiming to act upon high-level, temporally …

Large language models (LLMs) trained on code-completion have been shown to be
capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing …