Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world's standard-bearer for computing professionals.
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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...
By Arshey Patadia
Q: In what ways have photonics evolved in recent years?
Patadia: Photonics is still a relatively small industry compared to others, like artificial intelligence (AI) and machine learning (ML), because of the specialization this field requires and market dynamics. Miniaturization has been one of the biggest challenges to overcome, yet photonics...
By Lalithkumar Prakashchand
The world of databases is evolving rapidly, driven by the increasing complexity of data and the need for more sophisticated data handling and analysis techniques. Traditional databases, primarily relational databases, have been the cornerstone of data management for decades. However, the advent of vector databases marks a significant shift in how...
By Harsh Daiya
Within the dynamic sphere of financial technology, safeguarding against potential dangers and ensuring adherence to regulation are paramount concerns. Traditional risk monitoring methods, though effective, frequently struggle to keep pace with the tremendous volume and intricacy of data spawned in today's sophisticated financial ecosystem. Enter ...
By Lalit Chourey
Large Language Models (LLMs) are pivotal in advancing natural language processing, offering capabilities from text generation to machine translation and software development. This article examines the lifecycle of LLMs, highlighting the complexities and challenges involved in their development, deployment, and maintenance. We provide a detailed exp...
By Apurva Kumar
Energy-Efficient AI and Sustainable Practices
As AI workloads grow more resource-intensive, energy-efficient AI is becoming a priority. Data centers, which form the core of AI infrastructure, are adapting by leveraging distributed computing frameworks like Apache Spark and Hadoop to enable more efficient data processing across multiple nodes. ...
By Lalit Chourey
Large language models (LLMs) have significantly advanced natural language processing (NLP), excelling in tasks such as text generation, translation, and summarization. These models are trained on vast datasets, enabling them to recognize complex language patterns. However, their large size presents challenges, requiring significant computational po...
By Neal Shah
In the fast-paced world of consumer electronics, it's easy to dismiss subtle shifts as unremarkable. However, Apple's recent product updates released on Sept 9th, particularly the sleep apnea detection feature for Apple Watch and the FDA approval of AirPods as hearing aids, represent more than just incremental improvements. They signal a significan...
By Jack Maney
A robust integration platform empowers everyone in your organization, including IT and business teams. It enables your company to unlock the true value of data and digitize processes faster. MuleSoft is a powerful integration platform that provides a holistic approach to designing and developing APIs. Salesforce defines MuleSoft as a platform that ...
By Vaibhav Malik
Large Language Models (LLMs) have emerged as a transformative force in artificial intelligence, revolutionizing natural language processing and generation. These sophisticated AI systems, trained on vast amounts of textual data, can produce human-like text, translate languages, and even generate code. While their capabilities are impressive, LLMs a...
By James Deverick
It doesn't matter whether you're a Fortune 500 giant or a small, local business. There is a good chance your supply chain is responsible for most of your carbon footprint. But why is reducing your carbon footprint important for your business?
Your carbon footprint describes the total volume of greenhouse gasses that your daily business activities ...
By Sunandan Barman
Machine learning models are increasingly being used in all aspects of software systems, be it banking, robotics, transportation, e-commerce, social media etc. The market size in the Machine Learning market is projected to reach US$79.29bn in 2024 & expected to reach a market volume of US$503.40bn by 2030 [1].
The staggering amount of money investe...
By IEEE Computer Society Team
The term "bucket shop" was originally applied to indigent saloons in the early 1800s that sold booze in buckets; a century later, the term was commonly used to characterize brokerage firms bilking people through fake trades. In relation to tech work today, an IT bucket shop is a churn-and-burn operation focused less on quality work than on maximizi...
By Abhishek Chaudhuri
The impact of artificial intelligence (AI) goes beyond just being a popular buzzword. It is a powerful tool to change how organizations think, analyze, decide, and act. Although AI is still in its early application stages, it will expand and encompass all aspects of enterprise operations, including data management and analysis. Data consists of eve...
By Dhanveer Singh and Neeharika Meka
Investing in artificial intelligence (AI) is no longer a choice but an imperative for financial services organizations. AI's unparalleled potential to revolutionize the industry mandates its adoption. From enhancing customer experiences with personalized services and sophisticated chatbots to improving fraud detection and cybersecurity through real...
By Rohit Kumar
Experts project that by the end of 2025, gaming will be a $250 billion industry annually, with growth above $500 billion by the end of the decade. With such magnitude comes the responsibility for developers to pay closer attention to ethical concerns. Diversity, healthy gameplay patterns, player well-being, and responsible innovation are just a f...
By Aditi Godbole
We are living in a world where the Internet is an inseparable part of our life and with the inception of AI & ML the demand for network capacity is unstoppable. As networks scale exponentially, classical topologies and designs are struggling to keep in sync with the rapidly evolving demands of the modern IT infrastructure. Network management is get...
By Prajeet Gadekar
Ethics are the cornerstone of our moral principles and human cognition. As Artificial Intelligence advances, replicating aspects of human cognition, the ethical implications of its decisions and outcomes become increasingly critical. The intersection of AI and morality is a pressing reality that demands our immediate attention.
If unchecked, lack ...
By Srinivas Allaparthi
System integration is essential for companies seeking to thrive in today's competitive, data-driven, and technology-centric marketplace. It increases operational efficiency, reduces costs, enhances customer experiences, and improves decision-making. To achieve effective system integration and maximize these powerful benefits, it's vital for compani...
By Srinivasa Rao Bogireddy
In artificial intelligence (AI), algorithms often operate as enigmatic black boxes, executing complex decision-making processes that even their creators sometimes struggle to decipher. This opacity raises significant concerns as AI systems increasingly influence crucial aspects of daily life. Enter the field of explainable AI (XAI), which seeks to ...
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