A LiDAR (Light Detection and Ranging) sensor in smartphones works by using laser pulses to measure distances and create depth maps of the surroundings. It enhances augmented reality (AR), photography, and object detection. Here’s how it works: How LiDAR Works ...
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If ASI is created, it could bring both amazing benefits and serious risks: ✅ Benefits: Solve major global problems like diseases, climate change, and poverty. Invent new technologies that humans cannot imagine. Make human life easier with automation and ...
Supervised, Unsupervised, and Reinforcement Learning are the three main types of machine learning. Here’s how they differ: Supervised Learning Definition: The model is trained using labeled data, meaning each input comes with a corresponding correct output. Goal: The algorithm learns a ...
Artificial Intelligence (AI) is divided into three types based on their abilities. Weak AI handles single tasks (like Siri), Strong AI would think like humans (but isn’t real yet), and Super AI (a sci-fi idea) could outsmart humans. Here’s a ...
“The “Black Box” problem in AI is in which an AI system makes decisions however, humans don’t fully comprehend what it was that led to or how it reached an result.A number of the most recent AI ...
The main difference between Machine Learning (ML) and Reinforcement Learning (RL) is in how they learn and make decisions. Machine Learning (ML) Definition: A broad field that includes algorithms allowing computers to learn patterns from data and make predictions or ...
The registration process for the SSO Rajasthan Portal can be completed in the following steps: Step 1: Visit the official website of SSO Rajasthan Portal: https://sso.rajasthan.gov.in/ Step 2: On the homepage, click the ‘Register here’ button. Step 3: Select User ...
Explainable AI (XAI) refers to artificial intelligence systems that are able to communicate their actions and decisions in a manner that humans can comprehend. The purpose for XAI to create AI easier to understand, transparent, reliable as ...
ChatGPT is primarily trained using a combination of Supervised Learning and Reinforcement Learning, making it a hybrid model rather than purely supervised or unsupervised. Supervised Learning (SL) Phase In the early training stages, human trainers ...
Traditional AI models, especially for deep learning models, are often “black boxes“—they make decisions, but humans don’t understand how. XAI solves this problem by: ✅ Building Trust – Users and businesses can trust AI decisions ...