Abstract: Generating high-performance tensor programs on resource-constrained devices is challenging for current Deep Learning (DL) compilers that use learning-based cost models to predict the ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

A self-hosting Python REPL with Gemini AI integration, featuring conversation context, tool use, and logging. $ gmake repl ╔══════════════════════════════════════╗ ║ 🌟 ...

Abstract: With the development of edge computing, DNN services have been widely deployed on edge devices. The deployment efficiency of deep learning models relies on the optimization of inference and ...

Learning something new can feel overwhelming, especially when it comes to programming. Maybe you’ve always wanted to dip your toes into coding but felt intimidated by the jargon or unsure where to ...

In just minutes, Deep Research can produce reports that would take humans “tens of hours” to complete. OpenAI has launched a new agent capable of conducting complex, multistep online research into ...

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. And no, in case you were wondering, python is not a snake in ...

Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The model boasts 6.91 billion ...

Have you ever imagined diving into Python programming in the comfortable environment of Visual Studio Code? Picture a place where your code moves as effortlessly as your ideas and the instruments ...