Techopedia

When Brains Meet Brawn: The Shift to Physical AI Robotics

AI’s next frontier moves it off the screen, into the living room, and onto the shop floor. Progress is real and money is flowing, but obstacles remain.
IEEE

Early Prediction of Post-Route Physical Design Data Using a Machine Learning Model

Abstract: Faster and more effective physical design cycles are essential as the semiconductor industry pushes the limits of device complexity further. Physical design phases like place-and-route (PnR) ...
C&EN

Machine-Learning-Accelerated Conformal Sampling of Methanol Catalytic Conversion on Bimetallic Systems

Istituto di Chimica dei Composti Organometallici, Consiglio Nazionale delle Ricerche (CNR-ICCOM), Via Giovanni Moruzzi 1, Pisa 56124, Italy ...
IEEE

Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing

Abstract: Effective load balancing is critical in contemporary mobile computing environments to ensure optimal resource utilization and adherence to strict deadlines. This study presents a novel ...
C&EN

Ultrahigh Conversion Efficiencies of Electrical Energy for Water Nanodroplets Impinging on Graphene Surfaces: A Density-Functional-Theory Based Machine Learning Study

State Key Laboratory of Mechanics and Control for Aerospace Structures, MOE Key Laboratory for Intelligent Nano Materials and Devices, College of Aerospace Engineering, Nanjing University of ...