Tag
37 articles
Turing Award winner Richard Sutton argues that pure generative AI cannot achieve real scientific discovery due to its inability to evaluate its own outputs.
Australia’s Fair Work Commission reports a 70% surge in workload over three years, largely driven by AI-assisted workplace claims. The commission is now reviewing its processes to manage the growing caseload.
Daylight expands its Managed Detection and Response (MDR) capabilities to include Claude Enterprise, addressing emerging AI security risks in enterprise environments.
Amazon Web Services has launched a new AI-powered shopping assistant tool for retailers, with Kate Spade as the first customer. The platform leverages AWS's generative AI expertise to help retailers build custom AI shopping assistants.
This explainer examines Google's Gemini Omni AI system, which combines advanced video generation, identity preservation, and natural language processing to create photorealistic video content from text prompts. We explore the technical architecture, key innovations, and broader implications of this multimodal AI platform.
This explainer explores Google's breakthrough 'anything-to-anything' AI model that can transform content across different data types using unified multimodal architectures.
This explainer explores the advanced AI technologies behind YouTube Shorts Remix, including multimodal modeling, video understanding, and generative synthesis techniques.
Amazon's Alexa+ now offers AI-generated podcast episodes on demand, expanding the assistant's role as a personalized content platform. The feature leverages advanced AI models to create custom audio content tailored to user preferences.
Joe Rose of JBS Dev challenges the myth that perfect data is required for AI implementation, emphasizing the importance of practical deployment and cost sustainability.
Learn how to use AI image generation tools to create game assets like characters and environments, demonstrating how AI is becoming an essential tool for game development.
This explainer explores how generative AI creates music through deep learning models, examining the technical architecture, legal implications, and industry disruption this technology brings to the music sector.
Microsoft CEO Satya Nadella says AI success hinges on intense user engagement rather than seat counts, signaling a strategic shift in how the company measures AI performance.
