When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

AI-powered recommendation algorithms on social media are carving pop culture into tiny, personalized bubbles, fueling echo chambers and leaving fewer shared experiences. Creators and educators unpack ...

Welcome to the official repository for EL 4152: Machine Learning Practicals. This repository is designed to provide resources, practical sessions, and coursework related to the Machine Learning module ...

Abstract: Quantum computing, in the last few years, has made tremendous gains both scientifically and commercially. The recent announcements by Google and Microsoft ...

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...

Abstract: Technical Debt (TD) refers to the long-term costs of suboptimal choices made for short-term gains. Algorithm Debt (AD), a type of TD, refers to the sub-optimal implementation of an algorithm ...

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...