Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.
IEEE

Human Action Recognition in Multi-Level Convolutional Temporal Attention Network

Abstract: Human Action Recognition (HAR) has widespread applications in areas such as human-computer interaction, elderly care, and home healthcare. However, current sensor-based HAR faces challenges ...
IEEE

Real-Time Scheduling for Flexible Job Shop With AGVs Using Multiagent Reinforcement Learning and Efficient Action Decoding

Abstract: The application of automated guided vehicle (AGV) greatly improves the production efficiency of workshop. However, machine flexibility and limited logistics equipment increase the complexity ...