New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
EurekAlert!

A review on multi-view learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Robots learn 1,000 tasks in one day from a single demo

Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...
IEEE

Transformer and Meta-Reinforcement Learning-Based Task Offloading for MEC Systems in Dynamic Environments

Abstract: In mobile edge computing systems, efficient decision-making for task offloading is crucial for enhancing system performance. Currently, existing reinforcement learning-based offloading ...
IEEE

Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
The New York Times

‘Task’ Brings More Murder and Flattened Vowels to HBO

This new crime drama shares a creator and tone with an earlier HBO hit, “Mare of Easttown.” By Esther Zuckerman The Delco accents are as thick as an overstuffed Wawa hoagie in the new crime drama ...
Frontiers

The effects of the implementation order of implicit and explicit learning methods on learners' task enjoyment and motor skill acquisition

Purpose: This study aimed to explore the effect of the order of two learning methods (one based on implicit and another on explicit learning) on students' enjoyment and ability to acquire motor skills ...