Columbia University School of Professional Studies

Unearthing Hidden Potential and Lost Treasure: AI Applications in Learning Management

A recent event hosted by the M.S. in Human Capital Management (HCM) program sought to get to the bottom of a very important ...
TechWyse

How to Build a Multimodal SEO Strategy for 2026: Ranking Across Voice, Visual, and AI Search

Learn how to build a multimodal SEO strategy for 2026 by optimizing for voice search and AI-driven search experiences to ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Frontiers

Multimodal input for vocabulary learning: Chinese EFL learners’ perceived effectiveness across input combinations, word types, and proficiency levels

This study investigated how Chinese learners of English perceive the effectiveness of different multimodal input for vocabulary learning. Forty participants perceived 14 combinations of visual, ...
IEEE

The Impact of Eye Movement Examples on Cognitive Processes in Standard Operating Procedure Learning: A Multimodal Human–Computer Interaction Study

Abstract: This study explores the application and effectiveness of Eye Movement Modeling Examples (EMME) in learning Standard Operating Procedures (SOP) in the manufacturing industry, where improving ...
eLife

Comprehensive Neural Representations of Naturalistic Stimuli through Multimodal Deep Learning

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors provide convincing evidence that ...
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
Microsoft

Scaling medical imaging report generation with multimodal reinforcement learning

Frontier models have demonstrated remarkable capabilities in understanding and reasoning with natural-language text, but they still exhibit major competency gaps in multimodal understanding and ...
Scientific Research Publishing

Deep Learning for Predicting Post-Stroke Cognitive Decline Using Multimodal Data: A Synthetic Proof-of-Concept Study ()

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Cognitive impairment is a frequent and ...
Hosted on MSN

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...