As technology continues to revolutionize communication, transcription, and documentation, platforms like Otter.ai have become increasingly popular in a wide array of industries, including healthcare. Otter.ai is a transcription service that uses artificial intelligence to convert speech to text in real-time, making it a convenient tool for professionals who need to document meetings, lectures, interviews, or
Artificial Intelligence (AI) has transformed how we live, work, and communicate—and now it’s changing the way we prepare for and perform in job interviews. Whether you’re a job seeker aiming to land your dream job or an employer striving to hire the best talent, AI offers tools and techniques that make interviews more effective, data-driven,
Artificial Intelligence (AI) is no longer a futuristic concept—it’s an essential part of modern technology, driving innovations in healthcare, transportation, finance, education, and countless other fields. From chatbots and recommendation engines to autonomous vehicles and robotic assistants, AI is transforming the way we live and work. But how do you actually create an AI? If
Artificial Intelligence (AI) chatbots have seen explosive growth in recent years. From educational tutors to fictional character roleplay partners, users now interact with AI personalities for entertainment, support, and learning. Among the most popular platforms offering this experience is Character.AI, a service that allows users to chat with virtual versions of fictional or user-created characters.
Character AI, often stylized as Character.AI or C.AI, has revolutionized the way users interact with artificial intelligence by allowing them to create and converse with custom AI personalities. Whether you’re building a wise-cracking robot, a compassionate counselor, or your favorite anime character come to life, Character AI opens up a creative sandbox unlike any other.
Introduction Machine learning and artificial intelligence have revolutionized the technological landscape in the 21st century. These fields drive advancements in various domains, including healthcare, finance, education, and robotics. One of the most prominent research hubs contributing to AI and ML innovations is the DSAIL Machine Learning Lab. This laboratory stands at the forefront of groundbreaking
Introduction Generative Flow Networks are an emerging framework in deep learning that offers a novel approach to generating diverse and high-quality samples from structured probability distributions. Unlike traditional generative models such as GANs and VAEs, applications of gflownets in machine learning focus on generating samples proportionally to a given reward function, enabling efficient exploration of
Introduction Machine learning has transformed numerous industries by enabling computers to learn from data and make intelligent decisions. The foundation of any ML model is the data it learns from, and properly annotating this data is critical to its success machine learning data notation refers to the systematic labeling and structuring of data to ensure
Introduction With the rapid advancement of 3d denosing machine learning, imaging technologies, data acquired from 3D sensors, LiDAR, MRI, CT scans, and photogrammetry have become essential in various fields, including healthcare, autonomous driving, geospatial analysis, and virtual reality. However, real-world 3D data is often contaminated with noise due to sensor limitations, environmental conditions, and data
Introduction Fortnite, one of the most popular battle royale games developed by Epic Games, attracts millions of players worldwide. With such a vast player base, does fortnite use ai anti cheat that cheating becomes an inevitable issue. To maintain fair gameplay and a competitive balance, Epic Games employs various anti-cheat mechanisms. But does Fortnite use