Supply chain attacks feel like they're becoming more and more common.

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user ...

The Smart Factory AI Detection System is an AI-powered industrial monitoring solution designed to detect, count, and analyze objects in real-time using computer vision. This project simulates a smart ...

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Abstract: Source-Free Object Detection (SFOD) enables knowledge transfer from a source domain to an unsupervised target domain for object detection without access to source data. Most existing SFOD ...

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 ...

The DMC tool detects two types of malicious code: (1) exfiltration of sensitive data and (2) timebombs, logic bombs, remote-access Trojans (RATs), and similar malicious code. The goal for the DMC tool ...