This new AI model thinks in images, not just words

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
New Scientist

Mathematicians put AI to work on Fermat’s last theorem

At an event in London, mathematicians have made unexpectedly fast progress on formalising Fermat's last theorem using AI ...
HackerNoon

Pace Layers: What Urban Planning Knows About Your Software Boundaries

How pace layers, an idea from urban planning, apply to software architecture boundaries: sort by rate of change and point ...
diginomica

UiPath's Maestro Case takes orchestration into chaotic work – and an Australian telecom is eight months in

UiPath's new Maestro Case capability tackles the kind of dynamic, exception-heavy enterprise work BPMN orchestration was ...
BioSpace

Model Medicines to Present Data on Two First-in-Class Programs Ahead of Catalyst Regulatory Filings at the 2026 BIO International Convention in San Diego

CEO Daniel Haders, PhD, will highlight upcoming catalyst events for the company’s two lead assets: MDL-001, a first-in-class, universal, direct-acting therapeutic for influenza-like-illness (ILI) and ...
IEEE

Modeling Relational Logic Circuits for And-Inverter Graph Convolutional Network

Abstract: The automation of logic circuit design enhances chip performance, energy efficiency, and reliability, and is widely applied in the field of Electronic Design Automation (EDA). And-Inverter ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Stepper Motor Position Control Using PD and MPC Algorithms Embedded in Programmable Logic Controller

Abstract: This research studies the implementation of Proportional-Derivative (PD) and Model Predictive Control (MPC) approaches embedded in an industrial Programmable Logic Controller (PLC) to ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...