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.

What if a device could see the world the same way humans do, seeing objects, recognizing them, and understanding what they are in real time? Just like our eyes capture visuals and our brain instantly ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

Q. Can you shed some light on what your centre is doing at CDAC? A. CDAC is an autonomous organisation under the Ministry of Electronics and Information Technology, with 13 centres across India, ...

Abstract: The Internet of Things (IoT) is a network of tiny sensing devices that facilitate precision monitoring, automation, and intelligent decision-making in a connected digital environment. While ...

Equipped with a quad-core CPU and up to 8GB or 16GB RAM, it can handle computer vision workloads using OpenCV, TensorFlow Lite, or lightweight YOLO models. For applications that demand higher speed ...

Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...

The worlds of artificial intelligence and robotics are no longer separate domains; AI for robotics is already here, and it’s shaping our future. From autonomous drones navigating complex environments ...

Embedded AI combines machine learning with edge devices for local, real-time intelligence. Courses range from beginner to advanced, covering TinyML, signal processing, and deployment. Ideal for ...