The global AI agents market share is projected to be valued at USD 7.63 billion in 2025 and reach USD 50.31 billion by 2030, ...

Google quietly launched AI Edge Gallery, an experimental Android app that runs AI models offline without internet, bringing Hugging Face models directly to smartphones with enhanced privacy.

Abstract: Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help improve the generalization ...

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images ...

Their ability to handle diverse, complex tasks makes them vital in AI apps, translating and summarising text. However, multi-task learning poses unique challenges with LLMs, especially in fine-tuning.

Abstract: Multi-task multi-agent reinforcement learning aims to control multiple agents to perform well on multiple tasks. It encounters three core challenges: the varying number of agents and ...

One study of drivers found only 2.5 percent of people showed no performance decrease when attempting two tasks at once. The rest of us just end up doing everything worse. Yet the pressure to ...

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018) ...

where we utilize a multi-task, deep learning model to create higher fidelity consumption models; for more information on the second part, objective tradeoffs, see this article from KDnuggets about ...