7 papers
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI
Taye Akinrele, Sindhuja Penchala, Noorbakhsh Amiri Golilarz +2
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-re…
Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2
Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological processes. In ungauged basin…
Learning in Focus: Detecting Behavioral and Collaborative Engagement Using Vision Transformers
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee +7
In early childhood education, accurately detecting collaborative and behavioral engagement is essential to foster meaningful learning experiences. This paper presents an AI driven…
One Patch is All You Need: Joint Surface Material Reconstruction and Classification from Minimal Visual Cues
Sindhuja Penchala, Gavin Money, Gabriel Marques +5
Understanding material surfaces from sparse visual cues is critical for applications in robotics, simulation, and material perception. However, most existing methods rely on dense…
Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
Noorbakhsh Amiri Golilarz, Hassan S. Al Khatib, Shahram Rahimi
Artificial intelligence has advanced significantly through deep learning, reinforcement learning, and large language and vision models. However, these systems often remain task spe…
Surformer v2: A Multimodal Classifier for Surface Understanding from Touch and Vision
Manish Kansana, Sindhuja Penchala, Shahram Rahimi +1
Multimodal surface material classification plays a critical role in advancing tactile perception for robotic manipulation and interaction. In this paper, we present Surformer v2, a…