How To Design Smart Workflows To Help Teams Meet Goals

When your team knows exactly what to do, when to do it and how to adjust along the way, even the toughest objectives start to ...
The Nation Newspaper

Schools get smart boards to aid interactive learning

Federal Government has distributed over 1,000 Interactive Smart Boards, with accompanying teacher training, under the Digitalisation of Public Schools Initiative, a partnership between Universal Basic ...
Hosted on MSN

Tracking your EV, solar, and energy use with machine learning - Sense smart home interview

In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...
IEEE

Intelligent Omni-Surface-Aided Multi-Objective ISAC: A Meta Hybrid Deep Reinforcement Learning Approach

Abstract: This paper studies an intelligent omni-surface (IOS)-aided integrated sensing and communication (ISAC) system, where a base station (BS) provides simultaneous target sensing and ...
IEEE

SMART: Self-supervised Learning for Metal Artifact Reduction in Computed Tomography Using Range Null Space Decomposition

Abstract: Metal artifacts in computed tomography (CT) imaging significantly hinder diagnostic accuracy and clinical decision-making. While deep learning-based metal artifact reduction (MAR) methods ...