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752 articles
Hugging Face is reportedly in advanced talks for a $13 billion acquisition, raising questions about the future of its community-driven AI platform. The company's commitment to open-source principles may influence whether a sale proceeds.
Generalist AI has released GEN-1.5, a robot foundation model that learns new tasks from a single 3–12 second demonstration, without requiring fine-tuning or gradient updates.
This article explains the concept of physical AI and its significance in the AI industry, using XPENG's recent $900 million funding round for its humanoid robot as a case study.
Learn how to set up and optimize machine learning workloads for Cerebras' CS-4 AI accelerator, leveraging its double performance capabilities through optimized data pipelines and model architectures.
Learn how companies like Thomson Reuters are investing in building their own AI systems instead of renting them, to gain more control and better performance.
This explainer explores how Linkdaze's smart calendar uses advanced AI techniques like reinforcement learning, neural networks, and constraint satisfaction to manage household tasks beyond simple scheduling.
This article explores the complex legal question of whether training AI models on copyrighted books constitutes copyright infringement, examining the technical mechanisms of AI training and the implications for intellectual property law.
This article explains how AI avatars work in educational settings, combining advanced technologies like transformers, GANs, and multimodal processing to create interactive learning experiences.
Learn how Google's new Discover feed feature combines explicit user preferences with advanced AI algorithms to create more transparent and controllable content curation. Understand the technical implementation involving transformer architectures, contrastive learning, and human-in-the-loop systems.
This explainer examines how advanced AI algorithms in smartwatches like the Pixel Watch 5 enable sophisticated health monitoring through machine learning, edge computing, and personalized predictive models.
This article explains how AI agents use 'skills' to complete tasks and why having too many skills can actually hurt their performance. It's an important lesson for building better AI systems.
This explainer explores Netflix's GenRec, a language model-based recommendation system that transforms user viewing behavior into text for more accurate personalization, marking a shift from traditional feature-engineered approaches.
