IEEE

Dexterous Pre-grasp Manipulation for Human-like Functional Categorical Grasping: Deep Reinforcement Learning and Grasp Representations

Abstract: Many objects such as tools and household items can be used only if grasped in a very specific way—grasped functionally. Often, a direct functional grasp is not possible, though. We propose a ...
GitHub

AS-Lab/Marthi-et-al-2025-MedVisionLlama-Pre-Trained-LLM-Layers-to-Enhance-Medical-Image-Segmentation

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...
GitHub

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

This repository contains the official JAX implementation for the NeurIPS 2025 paper: A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning. Our work introduces a principle for ...
Seeking Alpha

Accenture now calling employees 'reinventors' in move to embrace AI - FT

Accenture has introduced a new moniker for its workforce, rebranding its nearly 800,000 employees as “reinventors” as the consultancy giant pivots to embrace the rapid advancements in artificial ...
IEEE

Adapt and Feature Translation for Class-Incremental Learning with Pre-Trained Models

Abstract: Class-incremental learning (CIL) aims to enable a learning system to continuously learn new information. Although pre-trained models (PTMs) exhibit strong performance in CIL, the lack of ...