GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

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 ...
Communications of the ACM

The LLVM Compiler Infrastructure

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...
IEEE

Multi-Robot Formation Planning in Maze-Like Environments Consisting of Narrow Passages Using Graph Search

Abstract: This paper presents a formation planning method for a group of mobile robots navigating complex maze-like environments with walls and narrow passages. For a group of robots to move in ...
The Next Web

Unconventional AI releases its first model, built on an oscillator architecture its founder says could cut power use by a factor of a thousand

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

OpenAI and Broadcom Unveil Custom A.I. Chip Design

The maker of ChatGPT plans to use enough chips to consume 10 gigawatts of electricity, an amount that could power millions of households.
IEEE

A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction

Abstract: Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging space can significantly alleviate the growing load on intelligent transportation systems. As the ...