Artificial Intelligence (AI) is reshaping the software development lifecycle by automating repetitive tasks, improving accuracy, and accelerating project delivery. From writing code to testing applications, AI-powered automation is becoming an essential component of modern development workflows. How AI is Transforming Software Development Automated Code Generation AI-driven tools can suggest, optimize, and even...
Quantum computing is no longer just a theoretical concept confined to laboratories—it’s rapidly emerging as a transformative technology poised to revolutionize industries. Unlike classical computers, which use bits to process information as 0s or 1s, quantum computers leverage quantum bits (qubits) that can exist in multiple states simultaneously. This unique...
Introduction For researchers, students, and academics, citations are more than just references—they are proof of credibility. Among various citation styles, IEEE format is widely used in engineering, technology, and computer science papers. But let’s face it: manually formatting IEEE citations is both tedious and prone to errors. Enter Koke AI, a smart...
Introduction The industrial landscape is evolving rapidly with Industry 5.0, which emphasizes the synergy between human skills and intelligent machines to create more resilient, sustainable, and flexible factories. Central to this evolution are collaborative robots, or CoBots, designed to work safely and interactively alongside human workers. Unlike the primarily automated manufacturing...
Introduction Artificial intelligence is revolutionizing the public sector by enabling governments to deliver smarter, more efficient, and citizen-centric services. In 2025, global AI adoption in government is growing rapidly, with the market projected to reach $26.4 billion. Governments are leveraging AI to enhance decision-making, automate routine tasks, and improve citizen engagement...
Introduction Quantum computing and artificial intelligence are two of the most transformative technologies shaping the future of computing. Quantum AI—the convergence of these fields—holds the promise of unlocking unprecedented computational power, enabling AI models to solve problems that classical computers struggle with. In 2025, Quantum AI is moving from theoretical research...
Introduction As artificial intelligence advances beyond task automation and data processing, it is increasingly gaining the capability to understand and respond to human emotions—a field known as Sentimental AI or AI-driven sentiment analysis. In 2025, Sentimental AI has matured into a critical technology that businesses leverage to enhance customer experience, improve...
Introduction Large language models (LLMs) have revolutionized natural language processing with their remarkable ability to generate human-like text. However, they face limitations such as outdated training data, hallucination of incorrect facts, and difficulty in accessing domain-specific or real-time information. Retrieval-Augmented Generation (RAG) models address these challenges by combining generative AI with...
Introduction As artificial intelligence tools become more accessible and powerful, a new challenge is emerging in enterprises worldwide—Shadow AI. This term describes the unauthorized or unmanaged use of AI-powered applications by employees or teams without formal approval or oversight from IT and security departments. While Shadow AI often arises from the...
Introduction The rapid advancement of artificial intelligence has brought immense benefits but also raised complex ethical, legal, and societal challenges. In response, regulators worldwide are crafting frameworks to ensure AI development and deployment are safe, transparent, fair, and accountable. The European Union's AI Act—the first comprehensive legal regulation targeting AI—embodies this...
