Topic Review
Deep Learning Methods in Plant Taxonomy
Plant taxonomy is the scientific study of the classification and naming of various plant species. It is a branch of biology that aims to categorize and organize the diverse variety of plant life on earth. Traditionally, plant taxonomy has been performed using morphological and anatomical characteristics, such as leaf shape, flower structure, and seed and fruit characters. Artificial intelligence (AI), machine learning, and especially deep learning can also play an instrumental role in plant taxonomy by automating the process of categorizing plant species based on the available features.
  • 418
  • 26 Jul 2023
Topic Review
Deep Learning Using Explainable Artificial Intelligence and Clustering
Explainable artificial intelligence (XAI) is a field of Artificial Intelligence (AI) that seeks to offer insights into black-box models and their predictions. Trust, performance, legal (regulation), and ethical considerations are some reasons researchers advocate for XAI.
  • 418
  • 23 Nov 2023
Topic Review
Technologies and AI for Human-Centered Digital Experiences
Human–computer interaction (HCI) and information and communication technologies (ICT) are experiencing a transition due to the emergence of innovative design paradigms that are affecting the way we interact with digital information. Immersive technologies, such as augmented reality (AR), virtual reality (VR), and mixed reality (MR), are considered the building blocks of modern digital experiences. Knowledge representation in a machine-interpretable format supports reasoning on knowledge sources to shape intelligent, user-centric information systems. From a human-centered perspective, these systems have the potential to dynamically adapt to the diverse and evolving needs of users. Simultaneously, the integration of artificial intelligence (AI) into ICT creates the foundation for new interaction technologies, information processing, and information visualization.
  • 418
  • 09 Jan 2024
Topic Review
Infrastructure as Code
Infrastructure as code (IaC) is the process of managing and provisioning computer data centers through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. The IT infrastructure managed by this comprises both physical equipment such as bare-metal servers as well as virtual machines and associated configuration resources. The definitions may be in a version control system. It can use either scripts or declarative definitions, rather than manual processes, but the term is more often used to promote declarative approaches. IaC approaches are promoted for cloud computing, which is sometimes marketed as infrastructure as a service (IaaS). IaC supports IaaS, but should not be confused with it.
  • 417
  • 07 Nov 2022
Topic Review
Reconstructing Superquadrics from Intensity and Color Images
The task of reconstructing 3D scenes based on visual data represents a longstanding problem in computer vision. Common reconstruction approaches rely on the use of multiple volumetric primitives to describe complex objects. Superquadrics (a class of volumetric primitives) have shown great promise due to their ability to describe various shapes with only a few parameters. Research has shown that deep learning methods can be used to accurately reconstruct random superquadrics from both 3D point cloud data and simple depth images. Researchers extend these reconstruction methods to intensity and color images. 
  • 416
  • 09 Aug 2022
Topic Review
Dynamic Rectangle
A dynamic rectangle is a right-angled, four-sided figure (a rectangle) with dynamic symmetry, which in this case, means that aspect ratio (width divided by height) is a distinguished value in dynamic symmetry, a proportioning system and natural design methodology described in Jay Hambidge's books. These dynamic rectangles begin with a square, which is extended (using a series of arcs and cross points) to form the desired figure, which can be the golden rectangle (1 : 1.618...), the 2:3 rectangle, the double square (1:2), or a root rectangle (1:√φ, 1:√2, 1:√3, 1:√5, etc.).
  • 416
  • 20 Oct 2022
Topic Review
SGI Octane
Octane series of IRIX workstations was developed and sold by SGI in the 2000s. Octane and Octane2 are two-way multiprocessing-capable workstations, originally based on the MIPS Technologies R10000 microprocessor. Newer Octanes are based on the R12000 and R14000. The Octane2 has four improvements: a revised power supply, system board, and Xbow ASIC. The Octane2 has VPro graphics and supports all the VPro cards. Later revisions of the Octane include some of the improvements introduced in the Octane2. The codenames for the Octane and Octane2 are "Racer" and "Speedracer" respectively. The Octane is the direct successor to the Indigo2, and was succeeded by the Tezro, and its immediate sibling is the O2. SGI withdrew the Octane2 from the price book on May 26, 2004, and ceased Octane2 production on June 25, 2004. Support for the Octane2 ceased in June 2009. Octane III was introduced in early 2010 after SGI's bankruptcy reorganization. It is a series of Intel based deskside systems, as a Xeon-based workstation with 1 or 2 3U EATX trays, or as cluster servers with 10 system trays configured with up to 10 Twin Blade nodes or 20 Intel ATOM MINI-ITX nodes.
  • 416
  • 01 Nov 2022
Topic Review
Deep Learning Models in Video Deepfake Detection
The increasing use of deep learning techniques to manipulate images and videos, commonly referred to as “deepfakes”, is making it more challenging to differentiate between real and fake content, while various deepfake detection systems have been developed, they often struggle to detect deepfakes in real-world situations. In particular, these methods are often unable to effectively distinguish images or videos when these are modified using novel techniques which have not been used in the training set.
  • 416
  • 22 May 2023
Topic Review
Augmented Reality on High School Academic Performance
Augmented reality (AR) has recently gained a presence in educational centres. The use of information and communication technologies (ICT) in the classroom has been found to produce a better predisposition towards learning and an ideal emotional state, which leads to improvements in academic performance.
  • 416
  • 22 May 2023
Topic Review
Automation in Interior Space Planning
In interior space planning, the furnishing stage usually entails manual iterative processes, including meeting design objectives, incorporating professional input, and optimizing design performance. Machine learning has the potential to automate and improve interior design processes while maintaining creativity and quality.
  • 416
  • 08 Aug 2023
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