An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Experience space like never before with this Python simulation of the ISS orbit – upgraded animation! 🌌 Watch the International Space Station (ISS) move along its trajectory with realistic ...

For more information on Hyperscale Data and its subsidiaries, Hyperscale Data recommends that stockholders, investors and any other interested parties read Hyperscale Data's public filings and press ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

Abstract: In biomedical image analysis, developing architectures that effectively capture long-range dependencies is crucial. Traditional Convolutional Neural Networks (CNNs) are constrained by their ...