Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world's standard-bearer for computing professionals.
Recent Articles
By Dr. Jon Peddie
It started with the S-100 bus
Before the PC, the open microcomputers used the S-100 bus, also known as the Altair bus, introduced in 1974 with the Altair 8800 microcomputer and designed by MITS (Micro Instrumentation and Telemetry Systems). [1] It was named S-100 [2] after the 100-pin connector used for expansion cards. [3] The S-100 board b...
By Purdue University
Purdue University is offering a new, 100% online Master of Science degree in software engineering designed for professionals who want to enhance their knowledge of how to identify, formulate and solve complex software engineering problems.
Purdue's online software engineering master's degree also is designed to develop expertise in areas such as a...
By Shan Liu, Wenjie Zhu, Ge Li, Xiaoxu Luan
Introduction
IEEE P3366.2 (Standard for Polygonal Mesh Compression) aims at the standardization of polygon mesh compression technologies. It specifies efficient coding tools for compression, decompression, processing, and packaging of volumetric data which can significantly reduce the disk storage and communication bandwidth. With the advent...
By Rajprasath Subramanian
Quantum computing is poised to revolutionize industries by solving complex problems at exponentially faster rates than classical systems. Despite its potential, the intricate nature of quantum algorithm design, which requires expertise in quantum mechanics, mathematical modeling, and circuit optimization, remains a major hurdle to adoption. A nov...
By Gilad David Maayan
What Are AI Coding Assistants?
AI coding assistants are tools that leverage artificial intelligence to assist developers in writing and optimizing code. These tools offer features such as code completion, error detection, code reviews, and generating code snippets based on a natural language description. By providing automated support, AI co...
By Stevie Carpenter
Product development can often feel like racing toward a moving finish line. Projects often go over budget and deadlines are easily missed. Even worse, constant changes can turn a straightforward project into one doomed to fail.
Project managers and scrum masters accept the perils of evolving project deliverables and timelines. They use the resou...
By Nihad Bassis, Ph.D. Ind. Eng.
In the fast-paced world of business and technology, few concepts have had as profound an impact as artificial intelligence (AI). From enhancing decision-making processes to streamlining operations, AI has become a cornerstone of digital transformation, reshaping industries and driving innovation. This article explores how AI has revolutionized di...
By Nihad Bassis, Ph.D. Ind. Eng.
Artificial intelligence (AI) is not merely reshaping industries, it is reconstructing the fundamental frameworks of economic productivity, labor dynamics, and market competition. While AI's promise of enhanced efficiency and decision-making capabilities is well documented, its deeper implications on macroeconomic structures and geopolitical power...
By Shenson Joseph
Introduction
Agentic AI is an entirely new innovation in the line of AI-generated art. It is capable of goal-oriented, autonomous, and adaptable decision-making. Whereas earlier generations of AI were always confined to certain limits and took direct commands for maximum performance, Agentic AI designs do things on their own within open and ...
By Peng Zhang (Sub-Working Group Chair), Shu Zhao (Secretary), Chen Jing (Editor)
Introduction
A scientific knowledge graph is a representative domain knowledge graph that focuses on scientific knowledge, takes scholars, periodicals, etc., as resources, and models their entities, attributes, and relations. Scientific knowledge graphs support applications such as technical insight, scholar profiles, and correlation mining ...
By Rambabu Bandam
Artificial intelligence (AI) is rapidly transforming industries, influencing everything from business decisions to everyday life. Ensuring these AI systems are trustworthy, transparent, and reliable has become essential. This is where AI Observability steps in—providing systematic monitoring, analysis, and visualization of AI models throughout ...
By Ajit Daundkar
In today's rapidly evolving technological landscape, AI-powered digital twin technology is emerging as a transformative force in cloud computing. By creating virtual replicas of physical systems, digital twins enable organizations to monitor, analyze, and optimize operations with unprecedented precision. When integrated with artificial intelligen...
By Paul Chaney
Q&A with Dhananjay Patil
The latest trends in artificial intelligence (AI), data centers, avionics, and medical devices demand extremely high-speed data processing due to the rise in computational processing. As consumers appreciate the benefits of faster generative AIs, the demand for speed is expected to grow multifold.
Fast data flow bet...
By Shenson Joseph
Generative AI refers to those algorithms that have the ability to create new content-image, text, music, or whatsoever-based on the patterns the algorithm learns from existing data. This technology has started to gain remarkable attention in recent times for its applications across different industries. On the other hand, edge computing is a form...
By Loganandh Natarajan
In the healthcare sector, revenue cycle management (RCM) is a process—patient registration through billing, collections, and reimbursement. Traditional RCM systems, while essential to profitability, are paper-based systems that are prone to inefficiency and mistake. Manual processes generate higher costs, delayed turnaround, and ultimately lost...
By Jitender Jain
AI revolutionizes enterprise architecture by simplifying complex workflows and minimizing manual tasks to achieve greater scalability. The current business landscape requires organizations to manage massive data-driven operations which still depend on obsolete manual processes. Businesses can achieve greater scalability by using AI-driven automat...
By Santosh Bhupathi
Introduction to Generative AI
Generative AI (GenAI) represents a transformative leap in artificial intelligence, enabling machines to create human-like content, generate insights, and enhance decision-making across various domains. Unlike traditional AI models that classify or predict based on predefined patterns, GenAI leverages advanced ma...
By Pritesh Patel
Alert!!!
This isn't just another typical generative AI blog.
It's an opportunity to step beyond the basics and explore the lesser-known, often surprising aspects of what these models come up with when we step out of the room.
Curious? Now imagine this.
A generative model working silently in a data center, processing information at lightning s...
By Shan Liu, Wenjie Zhu, Ge Li, Xiaoxu Luan
Introduction
IEEE P3366.1 (Standard for Geometry Point Cloud Compression) aims at the standardization of point cloud compression technologies. There is a practical demand for point cloud compression standardization, especially for the transmission of high-volume volumetric data over bandwidth-constrained networks and the processing of such d...
By Sukhdeep Saini
In today's lightning-fast software world, meeting tight deadlines and high-quality standards makes swift and efficient testing and release processes more crucial than ever. Cloud computing advancements have significantly transformed the software development lifecycle (SDLC), with container technologies such as Docker and Kubernetes leading in thi...
There are no results for this search.
Analysis, Blogs, Commentary