Former Cohere exec Sara Hooker has raised $50 million for her AI startup Adaption Labs—a bet on smaller, smarter models

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...
C&EN

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Frontiers

Seismic first break picking based on multi-task learning

Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...
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 ...
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 ...
Scientific Research Publishing

Willis, J. (1996) A Framework for Task-Based Learning. Longman.

ABSTRACT: This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in ...
Scientific Research Publishing

Nunan, D. (2004) Task-based Language Teaching. Cambridge University Press.

ABSTRACT: This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in ...
IEEE

A Multi-Task Learning-Based Approach for Power System Short-Term Voltage Stability Assessment With Missing PMU Data

Abstract: This paper proposes a novel multi-task learning approach based on spatial-temporal recurrent imputation network (SRIN) for power system short-term voltage stability (STVS) assessment with ...