Artificial intelligence

Artificial intelligence

Convergence of Autonomy, Perception, and Decision Intelligence: Revolutionizing Robotics

In the age of autonomous systems deployment, machine learning models are shifting from mere pattern recognition to contextual understanding, real-time decision-making, and adaptation to unpredictable situations. Senior machine learning engineer Yashovardhan Chaturvedi at TORC Robotics is at the forefront of this innovation, merging expertise in autonomy, perception, and decision intelligence

Artificial intelligence

Graph Convolutional Neural Network-Enabled Frontier Molecular Orbital Prediction

Researchers at the University of Wisconsin have made significant strides in understanding the interactions between neurochemicals and neuroreceptors, which could lead to the development of more targeted and effective antidepressants. By utilizing a graph convolutional neural network fingerprint-enabled artificial neural network (GCN-ANN), the study has provided physical insights into the

Artificial intelligence

Efficient Deep Neural Network Inference on Mobile Devices Through Joint Partitioning and Offloading

Researchers from the Beijing University of Technology have made a breakthrough in addressing the challenge of supporting efficient deep neural network (DNN) inference on mobile devices. With the rapid advancement of artificial intelligence applications, DNNs are increasingly being deployed on mobile devices, which have limited computational capabilities and small battery