Every Indian AI model is graded on benchmarks built in San Francisco. GPT-5 scores below 40% on Indian cultural reasoning.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
Finally, the code for the web UI client used in the Moshi demo is provided in the client/ directory. If you want to fine tune Moshi, head out to kyutai-labs/moshi ...
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 ...
Dot Physics on MSN
Python simulation: Upgraded animation of the ISS orbit
Experience space like never before with this Python simulation of the ISS orbit β upgraded animation! π Watch the International Space Station (ISS) move along its trajectory with realistic ...
Dot Physics on MSN
Python physics tutorial: Non-trivial 1D square wells explained
Explore non-trivial 1D square wells in Python with this detailed physics tutorial! πβοΈ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...
Abstract: Brain tumor classification and diagnosis are critical for timely and effective treatment, as brain tumors can severely impact patient health and survival. This paper introduces an enhanced ...
Machine learning is an essential component of artificial intelligence. Whether itβs powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results