Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...
Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking ...
ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...
Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Aaron Erickson explains how NVIDIA designs and tests purpose-built AI agent hierarchies. For senior developers and architects ...
Ontolearn is an open-source software library for learning owl class expressions at large scale. Given positive and negative OWL named individual examples $E^+$ and $E ...
In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...
Researchers at Reversing Labs have discovered two malicious machine learning (ML) models available on Hugging Face, the leading hub for sharing AI models and applications. While these models contain ...
Abstract: As the primary cause of death globally, cardiovascular diseases (CVDs) demand precise and timely prediction to enhance patient outcomes. Other examples of conventional approaches for CVD ...
MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions. My hope is that this project will help you understand ...
Over the past few months, our Machine Learning Foundations team at Microsoft Research has released a suite of small language models (SLMs) called “Phi” that achieve remarkable performance on a variety ...
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