Entertainment

Sikandar trailer: While Salman Khan takes on the role of Sanjay Rajkot in the movie, Rashmika Mandanna plays Saisri and Sathyaraj portrays Minister Pradhan. Sikandar trailer: And just like that, Bhai has made his comeback to our screens — and that too with a bang, as always — almost making one believe he was never really away. The highly anticipated trailer of director AR Murugadoss’ Sikandar, starring Salman Khan and Rashmika Mandanna in the lead roles, is finally here, delivering everything one expects from a Bhai film and more. The three-minute, 37-second trailer opens with a wanted poster of Sanjay Rajkot (Salman Khan), a man with 49 cases registered against him over the past five years. However, it soon becomes evident that he is not a typical criminal and that every action he has taken has been for a greater cause. “A hundred mistakes made with a good heart can be forgiven, but there is no apology for even a single mistake committed intentionally,” he asserts. However, things tak...

Books written by Artificial Intelligence (AI) are gaining traction as a fascinating and controversial subject in the literary world. They represent a blend of human ingenuity and machine learning, showcasing how advanced AI systems can contribute to creative processes like storytelling, generating ideas, or even writing entire books. Here's an overview of this intriguing topic  AI-written books are literary works generated, fully or partially, by artificial intelligence. Advanced language models like GPT (Generative Pre-trained Transformer) are often used to create these books. These models are trained on massive datasets containing diverse text, enabling them to mimic human-like writing styles, create coherent narratives, and even adapt to specific genres or tones AI-written books are created using natural language processing (NLP) models such as Open AI’s GPT series, Google’s BERT, and other advanced machine learning algorithms. These AI models analyze vast amounts of text data, ...

 Artificial Intelligence (AI) is revolutionizing climate science by providing innovative tools to understand, predict, and mitigate the impacts of climate change. Its ability to process vast datasets and model complex systems has made it indispensable in addressing one of humanity's most pressing challenges. Here's a deeper dive into how AI is transforming climate science: Enhanced Climate Modeling AI-powered algorithms, particularly machine learning and deep learning, are being used to improve the accuracy of climate models. These models simulate Earth's climate systems, predicting future conditions based on various scenarios. AI can analyze historical climate data, identify patterns, and refine projections, making them more reliable. For instance, AI helps in predicting extreme weather events like hurricanes, floods, and heatwaves with greater precision, enabling better preparedness and response. Filling Data Gaps Climate science often relies on incomplete datasets, espec...

Green Technology: A Transformative Approach to Sustainability Green technology, often referred to as "green tech," encompasses innovations that prioritize environmental sustainability across production and supply chains. This umbrella term includes clean energy solutions, alternative fuels, and low-impact technologies aimed at reducing the detrimental effects of fossil fuels. As awareness of climate change intensifies and natural resources dwindle, this burgeoning market has seen an influx of investment. The driving ethos behind green tech lies in minimizing humanity's ecological footprint, repairing past damage, and preserving finite resources. Its applications span diverse scientific domains, including energy, agriculture, material science, and hydrology. Solar energy has emerged as a flagship success in this arena, offering cost-effective alternatives to fossil fuels. Beyond solar, green tech also encompasses electric vehicles, sustainable agriculture, advanced recycli...

 Energy efficiency in high-performance computing (HPC) is a critical area of research due to the substantial energy consumption associated with operating these powerful systems.  HPC systems, which consist of thousands of high-performance processors, large memory banks, and extensive storage capacities, are designed to handle complex computational tasks and large-scale simulations that traditional computing systems cannot manage.  The constant drive to enhance computational performance in HPC often leads to overprovisioning, where systems are equipped with more resources than necessary to ensure peak performance. This over-provisioning, combined with the variability of workloads and applications over time, results in significant energy waste and high operational costs.  Researchers are focusing on integrating scalable interconnects and energy-efficient System-on-Chip (SoC) designs to enhance computational performance while minimizing power consumption. Advancements i...