OpenAI has added a feature to its Codex macOS app that changes the barrier to AI-powered automation: instead of writing a prompt or configuring a workflow, a user performs a task while Codex watches, ...

Abstract: Product quality prediction, as an important issue of industrial intelligence, is a typical task of industrial process analysis, in which product quality will be evaluated and improved as ...

Abstract: Clustering categorical sequences is an important and difficult data mining task. Despite recent efforts, the challenge remains, due to the lack of an inherently meaningful measure of ...

Awhile ago I submitted a request to Microsoft for a built-in Powershell Module during the Task Sequence. Mostly for basic things like getting and setting variables, but once I noticed what all the COM ...

Rice is a crucial food crop, and research into its gene expression regulation holds significant importance for molecular breeding and yield improvement. Enhancers, as key elements regulating the ...

In this work, we propose a novel view that treats inducing temporal action abstractions as a sequence compression problem. To do so, we bring a subtle but critical component of LLM training pipelines ...

Temporal action abstractions, along with belief state representations, are a powerful knowledge sharing mechanism for sequential decision making. In this work, we propose a novel view that treats ...

Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time ...

Almost all proteins fold to their lowest free energy state, which is determined by their amino acid sequence. Computational protein design has primarily focused on finding sequences that have very low ...

The SystemVerilog universal verification methodology (UVM) is an efficient way to generate tests and check results for functional verification, best used for block level IC or FPGA or other “smaller” ...