Introduction In everyday visual data—think storefronts, street signs, documents—textual regions often carry critical meaning. While diffusion models have excelled at general image restoration, they typically struggle when it comes to restoring text accurately. Instead, they tend to hallucinate text-like shapes that look plausible but are incorrect—imagine a blurry shop sign that becomes gibberish after restoration.

Artificial intelligence (AI) is revolutionizing the healthcare industry, and one of its most impactful applications is predictive analytics. By harnessing vast amounts of data, AI-driven predictive analytics allows healthcare providers to make more informed decisions, improve patient outcomes, and even predict potential health issues before they arise. But how exactly is AI transforming patient care,

The rapid advancement of machine learning (ML) is revolutionizing automation across industries. Machine learning algorithms have become essential in enabling machines to learn from data, make decisions, and improve processes without human intervention. From manufacturing to finance, machine learning is transforming how businesses operate, driving efficiency, reducing costs, and opening new possibilities for innovation. 1.

Artificial intelligence (AI) is rapidly transforming industries, unlocking new opportunities for innovation, efficiency, and problem-solving. From healthcare to finance, AI is revolutionizing the way we live and work. However, alongside these advancements come significant ethical challenges. As AI continues to evolve, it’s crucial to address the ethical dilemmas that arise in order to balance innovation