Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

This is a fresh implementation of the Faster R-CNN object detection model in both PyTorch and TensorFlow 2 with Keras, using Python 3.7 or higher. Although several years old now, Faster R-CNN remains ...

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

Back in November last year, we covered the launch of the NuMicro M55M1 MCU from Nuvoton, which combines an Arm Cortex-M55 core with an Ethos-U55 microNPU for on-device AI and gesture control. Now, ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

Stretching protein samples in all directions pulls molecules farther apart, allowing them to be visualized using only light ...

ChatGPT's breakthrough is not what it seems.

What do you call a smart speaker? Whatever you want, of course.

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

The sample notebooks on GitHub walk through patterns from simple two-agent conversations to complex multi-agent pipelines with tool use and memory. Running them gives you a concrete reference point ...

Spread the love“`html Raspberry Pi has revolutionized the way we think about computers, making it possible for anyone to dive into the world of programming and electronics. If you’re looking to set up ...

Most people meet AI video the same way. They type a sentence, wait a moment, and a clip appears that looks oddly close to ...