Recent machine learning approaches have been effective in Artificial Intelligence (AI) applications. They produce robust results with a high level of accuracy. However, most of these techniques do not provide human-understandable explanations for sup...
This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyzing the current development of...
Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate u...
Feb 1, 2017 · Waterford Softball is a competitive recreations program for girls from the ages 5-16 years of age. Starting with the 5&6 ponytail league to learn the basics. 7&8 machine pitch is the next age …
Oct 10, 2024 · Step-by-Step Tutorial for Installing Git in Windows 11 In this section, we’ll go through the steps needed to install Git on your Windows 11 machine. By the end, you’ll have Git up and running, …
The runtime is the "virtual machine" that hosts/runs the application and abstracts all the interaction with the base operating system. Only the latter is required to run the application, but the former is needed …
Sep 14, 2010 · The runtime environment can also be a virtual machine, such as the JRE (Java Runtime Environment) or CLR (Common Language Runtime) for .NET framework. What is the target of your …
This paper describes the process of developing a shared instrument for music-dance performance, with a particular focus on exploring the boundaries between standstill vs motion, and silence vs sound. The piece Vrengt grew from the idea of enabling a...
2012. Retrieved June 25, 2015. Creehan, Rich. "Pittsburgh ordains new bishop with pomp and a parable Archived 2012-12-27 at the Wayback Machine". Episcopal
"Viggo From Hollywood." August 27, 2001. Accessed July 18, 2007. SweetHeartVideo Archived 2011-11-17 at the Wayback Machine. Retrieved November 23,
nominated for several awards, including AVN, XBIZ and XRCO Awards. sweetheartvideo.com Archived 2011-11-17 at the Wayback Machine. Retrieved November
With advances in the field of machine learning, precisely algorithms for recommendation systems, robot assistants are envisioned to become more present in the hospitality industry. Additionally, the COVID-19 pandemic has also highlighted the need to...
Terabytes of data are collected by wind turbine manufacturers from their fleets every day. And yet, a lack of data access and sharing impedes exploiting the full potential of the data. We present a distributed machine learning approach that preserves...
Federated Learning (FL) presents a robust paradigm for privacy-preserving, decentralized machine learning. However, a significant gap persists between the theoretical design of FL algorithms and their practical performance, largely because existing e...
Large language models (LLMs) enabled dialogue systems have become one of the central modes in human-machine interaction, which bring about vast amounts of conversation logs and increasing demand for dialogue generation. The dialogue's life-cycle span...
This paper evaluates the different tasks carried out in the translation of pronominal anaphora in a machine translation (MT) system. The MT interlingua approach named AGIR (Anaphora Generation with an Interlingua Representation) improves upon other p...
# Introduction The history of the philosophy of mind in the 20th and early 21st centuries can be read as a constant race to demystify thought. Ever since Alan Turing proposed his famous imitation gam...
Multi-cancer early detection (MCED) tests are blood tests that use machine-learning to identify markers that may indicate the presence of early-stage cancer cells somewhere in the body.
We consider how fair treatment in society for people with disabilities might be impacted by the rise in the use of artificial intelligence, and especially machine learning methods. We argue that fairness for people with disabilities is different to f...
workplace wellness through task automation, human-machine collaboration, personalized well-being support which includes corporate wellness retreats, and