Despite having AI in the company name, I’m somewhat critical of the benefits provided of generative AI/Large Language Models (LLMs). I find that the answers often leave something to be desired, and the general consensus now seems to […]
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When the first computers with AMD’s Ryzen AI Max+ 395 „Strix Halo“ were announced, they were advertised as being ideally suited to AI workloads, especially large language models, due to their maximum of 128GB of „unified“ […]
Project DIGITS NVIDIA caused a bit of a stir at CES 2025 when it announced Project DIGITS, a tiny computer for AI development. It combines a 20-core ARM CPU with a Blackwell-generation GPU/AI accelerator and 128 […]
Meta AI Research has released Segment Anything, a model that can do automatic semantic segmentation of images without prior training for a specific application. The code, pre-trained models, and the training dataset are publicly available. After […]
The latest edition of German computer magazine C’t has a feature on Stable Diffusion and deploying it on your own hardware, which triggered me to install it on my desktop PC. While AMD graphics cards are […]
Yolo is a well-known and popular object detection architecture. It is also very easy to use as things like model download and using various input sources are handled by the detect.py script. The Tensorflow Object Detection […]
Object detection and recognition is a hot item, and massive advances have been achieved in recent years thanks to Convolutional Neural Networks (CNNs). Besides the technology, you also need either labelled training data or pre-trained models. […]