DoorDash Launches ‘Tasks’ Turning Drivers into AI Data Collectors
DoorDash launches Tasks platform for real-world data collection, helping businesses and AI systems while expanding earning options for Dashers.
DoorDash launches Tasks platform for real-world data collection, helping businesses and AI systems while expanding earning options for Dashers.
The UK government is considering mandatory labels for AI-generated content as part of broader efforts to address disinformation and copyright challenges.
BMG sues Anthropic over alleged use of copyrighted lyrics in AI training, adding to growing legal pressure on generative AI companies.
Elon Musk’s xAI is recruiting investment bankers, traders, and crypto experts to train its Grok chatbot on financial markets as it competes for enterprise customers.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Natural Language Processing allows computers to understand, analyze, and generate human language. This guide explains how NLP works and where it is used in modern technology.
Cloud computing allows individuals and organizations to store data and run applications on remote servers instead of local computers. This guide explains how cloud computing works and why it is widely used.
Machine learning allows computers to learn patterns from data and make predictions without explicit programming. This guide explains how machine learning works and where it is used.
AI agents are systems that can perceive information, make decisions, and perform tasks automatically. This guide explains what AI agents are, how they work, and where they are used.
Deep learning systems power many modern AI technologies, from image recognition to chatbots. This guide explains how deep learning works and why it is important for artificial intelligence.
Large Language Models, or LLMs, power many modern AI tools such as chatbots and writing assistants. This guide explains how they work, how they are trained, and where they are used.
Neural networks are the core technology behind modern AI systems. This guide explains what neural networks are, how they work, and where they are used in everyday technology.
AI can produce convincing but incorrect information, known as hallucinations. This guide explains why AI hallucinations occur, how they impact users, and ways to reduce them.
AI intelligence allows machines to perform tasks that usually require human thinking. This guide explains what AI intelligence is and how it works in everyday applications.