Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...
GitHub

CNN-AutoEncoder in pytorch

This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...
IEEE

Multi-Task Learning Network for Medical Image Analysis Guided by Lesion Regions and Spatial Relationships of Tissues

Abstract: Medical image analysis plays key role in computer-aided diagnosis, where segmentation and classification are essential and interconnected tasks. While multi-task learning (MTL) has been ...
marktechpost

A Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...
marktechpost

Microsoft Research Introduces CORPGEN To Manage Multi Horizon Tasks For Autonomous AI Agents Using Hierarchical Planning and Memory

Microsoft researchers have introduced CORPGEN, an architecture-agnostic framework designed to manage the complexities of realistic organizational work through autonomous digital employees. While ...
IEEE

MultiPC: Multi-Task Learning for Joint Pansharpening and Classification from Multispectral and Panchromatic Images

Abstract: Multitask learning has broad applicability in remote sensing. Although MS/PAN-based pansharpening and classification tasks are highly complementary at the feature level, they are usually ...