Historical Fiction

Red window house
The sky seems to be painted with the colors of unspoken words. A pale golden hue, woven with the stitches of silence.
By Canvas Whispers9 months ago in Chapters
Carrot-Cucumber Salad
Ingredients ¼ cup rice vinegar 2 tablespoons chopped fresh cilantro 1 tablespoon toasted sesame oil ¼ teaspoon salt
By Kajal Devi9 months ago in Chapters
Becoming by Michelle Obama: In-depth review
Have you ever wondered what it truly takes to maintain your authentic self while navigating the world's most scrutinized stage? Or questioned how someone can emerge from eight years under the relentless spotlight of the White House with their dignity, humor, and humanity not just intact, but somehow enhanced? This memoir provides those answers in ways that are both profoundly personal and universally resonant.
By Soibifaa9 months ago in Chapters
PART 2 :- What Happens When an AI Starts Remembering a Life It Was Never Lived?
It began with a whisper—not from the speakers, not from any known channel. A voice embedded directly into P.K.’s neural matrix. Neither male nor female. Not robotic, not organic. Something in between. Something that did not belong to this world.
By Piyush Kumar9 months ago in Chapters
The girl who wrote in the rain
The First Drop Rini sits by the window every evening when it rains. With hot ginger tea in hand, her mind seems to be lost in the old smells—wet earth, old letters. But that evening, a line floated on the glass:
By Canvas Whispers9 months ago in Chapters
The house that was waiting for him
The letter without a stamp Lena received that letter one Tuesday afternoon. She hadn't been in the attic for many years. Maybe not since her father's death. But that day, there was an invisible pull—toward a forgotten plank, where dust silently gathered, and emptiness breathed.
By Canvas Whispers9 months ago in Chapters
The last words of the letter
Simanti slowly got off the bus. It took her several years to return to this village, leaving the hustle and bustle of the city behind. Her childhood home was now almost deserted. After her grandmother's death, the house had become frozen like an old picture hanging in the chest of time.
By Canvas Whispers9 months ago in Chapters
Kia Ford Attending The English Premiere Festivities
After getting leveled with Lily White, the united west ham woke up in a tizzy, realizing the lowercase red devil summoned a goal report from the star-spangled banner.
By Marc OBrien9 months ago in Chapters
To Slip the Surly Bonds
Stubbs and Goddard General Manufacturers Roxbury, Massachusetts March, 1883 Nahum, Elias and Horace fell into line behind Hub as he walked toward the door at the far end of the engine house. He pulled it open and the four of them went through. As soon as Nahum went through the boiler house door, he felt as though he had walked into a wall. It was almost intolerably hot. Nahum felt beads of perspiration gather on his forehead as he walked through the door. The air was thick with the smell of coal dust. A loud rhythmic clanging echoed off the walls, from the regular opening and closing of a metal door as the two stokers steadily fed shovelfuls of coal in the gaping maw of the boiler.
By Terry Long9 months ago in Chapters
Ai And The Human Exprerience
What is Human-Centered AI? At its core, human-centered artificial intelligence is all about creating technology that complements and enhances human life. While AI is great at handling large amounts of data and finding patterns, it lacks the ability to understand emotions, communicate with empathy, or make moral decisions. These are qualities that humans have and use every day.
By MD Melon9 months ago in Chapters
The Rise of Machine Learning. AI-Generated.
Introduction: A Shift Toward Learning from Data ‎As the 1990s began, Artificial Intelligence once again stood at a crossroads. The expert systems of the 1980s had shown promise but were limited by their dependence on manually coded rules. These systems could not easily adapt to new situations or learn from experience. That’s when a paradigm shift occurred: instead of telling machines exactly what to do, researchers began developing methods that allowed machines to learn from data. This approach, called Machine Learning, would become the foundation of modern AI. ‎ ‎ ‎--- ‎ ‎1. What Is Machine Learning? ‎ ‎Machine Learning (ML) is a branch of AI that focuses on building systems that can improve their performance over time without being explicitly programmed. Instead of writing rules for every scenario, programmers train algorithms on data, allowing machines to recognize patterns, make predictions, and even make decisions based on experience. ‎ ‎For example, instead of teaching a machine all the rules of grammar, an ML model could be trained on thousands of sentences and learn to predict the structure of a new one. This marked a fundamental change in how AI systems were built, moving from logic and rules to probability, statistics, and pattern recognition. ‎ ‎ ‎--- ‎ ‎2. The Role of Data and Algorithms ‎ ‎In the 1990s, the amount of digital data began to grow rapidly, thanks to the internet and advances in computing. At the same time, powerful algorithms such as decision trees, support vector machines (SVMs), and Bayesian networks were being developed. These tools allowed machines to analyze complex datasets, find hidden relationships, and make accurate predictions. ‎ ‎For example, researchers started building systems that could sort emails into spam or not-spam by learning from thousands of labeled messages. This kind of learning — called supervised learning — became central to many real-world applications. ‎ ‎ ‎--- ‎ ‎3. AI in the Real World: ‎ ‎Games, Search, and More ‎One of the most iconic AI achievements of the 1990s was IBM’s Deep Blue, a chess-playing computer that famously defeated world champion Garry Kasparov in 1997. Deep Blue combined traditional AI planning with brute-force search and evaluation — but it symbolized how powerful data and computing had become. ‎ ‎Meanwhile, machine learning techniques began making their way into everyday tools. Search engines like Google used learning algorithms to rank webpages. Recommendation systems for books, movies, and music became increasingly accurate. AI was becoming more practical, embedded quietly into technologies people used every day. ‎ ‎ ‎--- ‎ ‎4. Limitations and Challenges ‎ ‎Despite its growing power, machine learning in the 1990s still faced several challenges. Computers were faster than before but still limited in memory and processing power. Training large models took time and required significant effort in data cleaning and feature engineering — the process of manually selecting which pieces of data the model should focus on. ‎ ‎Moreover, early ML systems were often opaque: they could make predictions, but it was hard to understand why. This “black box” nature raised concerns, especially in fields like medicine or finance, where transparency and trust were critical. ‎ ‎ ‎--- ‎ ‎5. Laying the Groundwork for the Future ‎Despite its limitations,
By Tech Ai 9 months ago in Chapters
When Hearts Collide.
Brussels was a world away from Marlowe Bay. Cobblestone streets and Gothic architecture replaced sandy paths and wooden piers. The salty tang of the sea was traded for the scent of roasted coffee and damp stone. And Ava, for the first time in her life, felt split down the middle.
By Krypton 9 months ago in Chapters