GitHub

Multi-Task Deep Neural Networks for Natural Language Understanding

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.
Scientific Research Publishing

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, and Research Innovation ()

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
IEEE

Relation Extraction in Dialogues: A Deep Learning Model Based on the Generality and Specialty of Dialogue Text

Abstract: Relation extraction from dialogue text is an innovative task in natural language processing. In addition to the general characteristics of general relation extraction from news or scientific ...
The Straits Times

Can AI improve learning? New MOE fund aims to find faster answers

SINGAPORE – A new fund has been launched by the Ministry of Education (MOE) to support short-term studies in educational technology, including the use of artificial intelligence. The Rapid Research ...

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
techxplore

AI training method helps robots carry lab-learned skills into real-world tasks

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, slow, and sometimes unsafe, particularly for tasks involving physical ...
GitHub

HMTL (Hierarchical Multi-Task Learning model)

We released an online demo (along with pre-trained weights) so that you can play yourself with the model. The code for the web interface is also available in the demo ...
Edutopia

Research-Based Tips for Optimal Seating Arrangements

Figuring out where a student should sit is more than just putting a name on a chart. It can determine who they talk to, how well they focus, and even how they engage with a lesson. In fact, classroom ...
IEEE

Annotation Guideline-Based Knowledge Augmentation: Toward Enhancing Large Language Models for Educational Text Classification

Abstract: Automated classification of learner-generated text to identify behavior, emotion, and cognition indicators, collectively known as learning engagement classification (LEC), has received ...
Computerworld

What are LLMs, and how are they used in generative AI?

Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both ...
Nature

Mathematical discoveries from program search with large language models

Many problems in mathematical sciences are ‘easy to evaluate’, despite being typically ‘hard to solve’. For example, in computer science, NP-complete optimization problems admit a polynomial-time ...