Author: Alind_Vats

Reinforcement Learning to teach robots Table TennisReinforcement Learning (RL), a subdiscipline of Machine Learning, is self-learning driven by the feedback of an agent’s actions to maximize reward in an environment. It concerns an agent learning a task in an environment through iterative trial-and-error actions, using the feedback from the actions to inform future actions to generate…… Continue reading Reinforcement Learning to teach robots Table Tennis

Generative AI Algorithms to Create MusicComputational Creativity (CC) aims to emulate or replicate human-like creativity using a computer. Its algorithms are used to generate novel and recombined music with aesthetic value. Machine Learning-based intelligence involves the synthesis of novel ideas or insights, given data. If intelligence can be learned, so, can creativity.Grimes uses AI to augment…… Continue reading Generative AI Algorithms to Create Music

Real-time object detection with AI — YOLO“You Only Look Once” to detect common (~9000) objects and their respective, mostly high, probabilities. YOLO is a cutting-edge AI algorithm used to detect objects in images and videos. Speed, learning variance in objects, and customizability are its fundamental merits. Its speed can be attributed to programming complex convolutional neural nets…… Continue reading Real-time object detection with AI — YOLO

A simple, speculative, topical analysis of what news channels report. some news channels you may have seen News is inherently biased though it shouldn’t be. Biases may stem from the writer’s opinions, the channel’s affiliations, or the audience’s preferences. These biases should be teased apart through analysis. It is interesting to note what the different news channels…… Continue reading Analysing News Channel Data to Identify Biases