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By J Gerard Wolff
Introduction The SP Theory of Intelligence (SPTI) and its realisation in the SP Computer Model (SPCM), outlined below, are founded on substantial evidence for the importance of information compression (IC) across diverse aspects of intelligence in people and other animals. This area of research was pioneered by Fred Attneave [1,…
By IEEE Computer Society Team
Driven by a desire to forge his own path, Arun George Zachariah is building a professional life based on carefully considered experiences in both research and industry. From academia, Zachariah has honed his deep analysis skills and intellectual curiosity, and he has flourished in the freedom it offers to explore…
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 novel Generative AI platform…
By IEEE Computer Society Team
Key Takeaways Employment agreements set forth the terms of your relationship with your new employer. Typically, the agreement codifies what was covered generally in the job posting and discussed in the hiring process. While it’s easy to simply scan and sign an employment agreement, checking five key sections can spare…
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 coding…
By Neil Thompson
As engineers, we excel at precision and technical expertise, but many of us struggle to communicate ideas effectively to non-technical audiences. I know I did! This challenge can hinder career growth, project success, and leadership opportunities. By adopting audience-centric approaches, using visual storytelling, and leveraging company support, we can enhance…
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.…
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 digital transformation, examining…
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 shifts remain underexplored. The challenge lies not…
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…
By Gaurav Belani
The research paper “Big Data and Predictive Analytics: A Systematic Review of Applications” offers an extensive overview of BDPA advancements from 2014 to 2023. Big data and predictive analytics (BDPA) have helped many businesses across industries process information to forecast trends and actionable insights effectively. BDPA is, in fact, pivotal…
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 of scientific knowledge. However, the normalization of…
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 their lifecycle, ensuring they function as intended.…
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 intelligence, these digital counterparts offer predictive insights,…
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…
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