Our original research into the human experience of AI. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
Recent developments in AI have given rise to a new class of systems known as agentic AI. These systems are characterized by their ability to perceive, reason, and act with varying levels of complexity, extending human capabilities in unprecedented ways.
Graph RAG doesn't necessarily replace knowledge graphs but can serve as a complementary tool, especially in scenarios where rapid, scalable, and dynamic summarization of large unstructured datasets is required.
What’s happening in the world of generative AI and what you can do about it. Our report covers current confusion, status, anxiety, and AI in the wild. And we include a self-assessment for organizational benchmarking.
Explore Apple's AI research strategy, focusing on privacy, efficiency, and seamless user experiences. Discover advancements in context understanding, model compression, multimodal interactions, and reference resolution that could revolutionize Siri and AI-driven features across Apple's ecosystem.
On April 9th, we presented our research update on the State of AI & Complex Change which focused on confusion about AI, status of AI adoption and deployments, anxiety about AI, and AI in the Wild.
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
