Research

Recommendation algorithms have evolved significantly, and understanding their development requires delving into their historical origins. These systems have their roots in the late 20th century, primarily within the realms of information retrieval and e-commerce.   In the field of information retrieval, one of the earliest instances of recommendation systems emerged during the 1970s. At that […]

Professor Sang-hyun Park’s research team at the Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), has introduced a novel image translation model with the potential to mitigate biases in data effectively.   When constructing artificial intelligence (AI) models using images gathered from diverse sources, data biases can inadvertently emerge […]

In machine learning and data analysis, two fundamental techniques play a significant role in understanding patterns and making sense of complex datasets: clustering and classification algorithms. Clustering methods, like k-means, group data points based on their similarities, while classification algorithms, such as Naïve Bayes, assign data points to predefined categories. Both techniques have distinct purposes […]

With the rise of LensaAI, ChatGPT, and other highly effective generative machine learning models, the internet is experiencing an increasing influx of content, including text, images, logos, and videos, all crafted by artificial intelligence (AI). This content, collectively known as AI-generated content (AIGC), can often be indistinguishable from content created by humans or other computational […]

Genetic algorithms are a class of optimization techniques that are inspired by the process of natural selection. They were first introduced by John Holland in the 1960s and have since found application in various fields, ranging from engineering and computer science to biology and economics.   Genetic algorithms, often referred to as GAs, are grounded […]

In 1950, the brilliant British computer scientist, Alan Turing, introduced an experimental approach aimed at addressing the profound question: can machines possess cognitive capabilities? His proposal posited that if a human conversing with an entity, be it an artificially intelligent machine (AI) or another human, for a mere five minutes, couldn’t distinguish between them, it […]

In the midst of the ongoing energy transition, a prominent trend shaping the power market’s evolution is the emergence of decentralized power generation. This transformative shift is characterized by the decentralization of energy production, the integration of intelligent energy systems, active participation from consumers, and a heightened reliance on renewable energy sources. In this paradigm […]

Service robots have begun to make appearances in a variety of everyday tasks, such as handling parcel deliveries, providing guidance to the visually impaired, serving the public at airports, and even engaging in construction site inspections, as evidenced in Joensuu. These robots exhibit diverse modes of mobility, utilizing legs, wheels, or even the ability to […]

Researchers in Australia have developed a cutting-edge algorithm capable of swiftly halting a man-in-the-middle (MitM) cyberattack on an unmanned military robot.   By leveraging deep learning neural networks to emulate human brain behavior, experts in artificial intelligence from Charles Sturt University and the University of South Australia (UniSA) trained the robot’s operating system to recognize […]

Artificial intelligence (AI) holds the potential to expedite coding, enhance driving safety, and streamline daily tasks, but a recent commentary in the Joule journal, penned by the creator of Digiconomist, illustrates how, with widespread adoption, it may result in a substantial energy footprint, potentially surpassing the energy demands of entire nations in the future.   […]