On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

The runtime offers new features for Python: an experimental async API and access to many native Python libraries like NumPy.

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Model-based design tools are often used to design safety-critical embedded software. Consequently, generating correct code from such models is crucial. We tackle this challenge on Lustre, a dataflow ...

Compile python bindings fails - Not implemented size of fixed edge #926 New issue Open henrikmidtiby ...

This project aims to design and implement a quantum compiler architecture inspired by Daniel Litinski’s active-volume model for fault-tolerant quantum computing. Instead of focusing only on gate count ...

Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across domains such as recommendation and scientific computing, yet their practical deployment remains constrained by high ...

Abstract: The transformation of pseudocode to Python is vital as it enables students to concentrate on the algorithms while not being distracted by the syntax and also is the key stage in software ...

The new interpreter will run Python programs as much as 5% faster, with no changes to existing code required. A beta of Python 3.14 is due in May. March 10 update ...

Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...