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.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

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 ...

Adjusting control system parameters, especially the manual process of fine-tuning the three "P, I, and D" gains of PID control, relies heavily on experience and intuition, and it consumes a surprising ...

Thanks for the feedback on the earlier Web Bluetooth experiment. That repo served its purpose: it proved a browser can talk to a BLE multimeter without falling over. But using it day-to-day exposed a ...

Google has released A2UI v0.9, a framework-agnostic standard for AI agents to declare user interface intent across multiple ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...

Q&A: Temporal aims to be the reliability backbone for an agentic AI economy Temporal Co-founder and CEO Samar Abbas weighs in on AI reliability, execution and what IT decision-makers should to keep in ...

Abstract: A changing job market, influenced by different factors such as globalization and demographic growth, urges close monitoring. The digitization of the job market has given the opportunity to ...