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 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 Santosh Bhupathi
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...
By Aparna Krishna Bhat
The Evolution of AI and Design Patterns
The rapid advancement of artificial intelligence (AI) and machine learning (ML) has given rise to a variety of design patterns that enable developers and practitioners to effectively implement AI-driven solutions. Understanding these design patterns is essential for both experienced professionals and t...
By Aparna Krishna Bhat
As a passionate advocate at the intersection of technology and data, I am inspired by the rapid advancements in quantum computing and quantum databases. These transformative domains are reshaping traditional computational frameworks, unlocking unprecedented possibilities for artificial intelligence (AI) and machine learning. This exploration exam...
By Sukhdeep Saini
AI and machine learning have made exciting advancements in the past few years. From chatbots that seamlessly assist with customer inquiries to personal assistants that boost productivity, these AI tools have demonstrated their transformative potential. Organizations are increasingly adopting AI-driven strategies and innovations to stay competitiv...
By Kiran Kumar Reddy Yanamala
As we move into the next era of technological innovation, generative AI has emerged as a transformative force across various industries, including human resources (HR). By 2023, generative AI was not only a buzzword but a practical tool that revolutionized how organizations approached talent acquisition and development. This technology, which inv...
By Steve Prentice
Women in cybersecurity aren't just battling digital threats—they're also fighting outdated workplace norms, implicit biases, and the constant expectation of balancing leadership with caregiving. The cybersecurity industry remains male-dominated, and despite progress, many female professionals still find themselves burdened with additional challen...
By San Murugesan
The AI Action Summit 2025, held in Paris from February 6 to 11, was a landmark event. It convened global leaders, AI experts, researchers, policymakers, industry executives, and civil society representatives to shape the future of artificial intelligence. The summit focused on AI governance, safety, innovation, sustainability, and international col...
By Kelly Onu
A recent IBM report reveals a concerning trend: the global average cost of a data breach is projected to reach $4.9 million in 2024. This represents a 10% increase since the previous year and is the highest figure ever recorded. In light of this escalating threat landscape, organizations are increasingly adopting a DevSecOps framework to enhance ...
By Isla Sibanda
In recent years, artificial neural networks have taken great strides, with spiking neural networks (SNNs) emerging as a groundbreaking development in the field.
Unlike more traditional neural networks, SNNs are directly designed to closely mimic the natural neural processes of the human brain, processing information through dynamic, time-depende...
By Vijay Ramamoorthi
In today's fast-paced business environment, companies are turning to artificial intelligence (AI) and cloud computing to stay competitive and drive innovation. The combination of AI and cloud services is changing how organizations access and analyze data, making it easier to scale operations and improve decision-making. Industries like manufactur...
By Tejas Padliya
Artificial Intelligence (AI) in healthcare holds immense potential, from improving diagnostics to personalizing treatment plans. With the cost of computing and data storage going down, there is heavy reliance on modern cloud infrastructure. However, the rapid integration of AI into healthcare systems raises significant ethical concerns in additio...
By Alok Abhishek
Artificial intelligence (AI) and machine learning (ML) are among today's most transformative technologies. Yet, according to Gartner Research, only nine percent of technology leaders report using generative AI (GenAI) projects in production, as opposed to 83 percent with projects in the pilot or active assessment phase. These numbers underscore t...
By Lalithkumar Prakashchand
Introduction
Distributed systems, by their very nature, are susceptible to a wide array of disruptions. Hardware components can malfunction, software bugs can surface, network connections can falter, and malicious actors can exploit vulnerabilities. These failures can cascade through the system, leading to service outages, data corruption, and...
By Ankesh Tyagi
What comes to mind when you hear ChatGPT or Gemini? Perhaps, a chat interface that can do amazing things, can act as a voice or text assistant for you. Write emails, help rewrite for different tones, generate code snippets or even create fully functional apps from images. Even with all this, I argue, we have barely touched the surface of possibilit...
By Anand Prakash
The advent of cloud computing has contributed to the widespread adoption of technology. Cloud-based applications involve complicated workflows and massive code bases that preserve these complicated use cases and systems. Unfortunately, few companies have the talent and resources to accomplish cloud migrations successfully. As a result, tech compani...
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