Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

This review discusses main techniques and methods which use nanoscale materials for
construction of electrochemical biosensors. Described approaches include nanotube and …

OpenAI Gym is a toolkit for reinforcement learning research. It includes a growing collection
of benchmark problems that expose a common interface, and a website where people can …

On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions
at an esports game. The game of Dota 2 presents novel challenges for AI systems such as …

As a testament to the importance of CD24, researchers with diverse interests, including
adaptive immunity, inflammation, autoimmune diseases and cancer, have encountered CD24. …

We introduce Codex, a GPT language model fine-tuned on publicly available code from
GitHub, and study its Python code-writing capabilities. A distinct production version of Codex …

Deep supervised learning has achieved great success in the last decade. However, its defects
of heavy dependence on manual labels and vulnerability to attacks have driven people to …

This paper addresses several key issues in the ArnetMiner system, which aims at extracting
and mining academic social networks. Specifically, the system focuses on: 1) Extracting …

Prompting a pretrained language model with natural language patterns has been proved
effective for natural language understanding (NLU). However, our preliminary study reveals …

Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially
reduces per-task storage and memory usage at training. However, in the context of NLU…