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November 2025 has already produced an unprecedented acceleration in artificial intelligence (AI) development, marked by the release of four major updates: Gemini 3, Grok 4.1, GPT-5.1, and Microsoft's AI-based operating system (OS). Each of these advancements represents a significant leap in AI capabilities, integration, and accessibility, reshaping the technological landscape for enterprises, developers, and end-users alike. 

A recent report by Axios highlighted Walmart's partnership with OpenAI to create an "AI-first" shopping experience through ChatGPT, introducing the concept of "agentic commerce." This post defines and explores the benefits and challenges of "agentic commerce."

This week Jonathan Kao and his UCLA-based team published exciting new findings in Nature Machine Intelligences that were also summarized in a companion article in Nature. 

AI is rapidly transforming facets of higher education. Over 70% of university professors have embraced AI for research, leveraging its power for data analysis, literature reviews, and hypothesis generation, but less than 35% have integrated AI into teaching and learning.

A key element of learning is “learning” how to study; learners of all ages struggle with developing good study habits. Knowt, founded in 2018, is a U.S.-based EdTech startup that leverages AI to revolutionize note-taking, study, and assessment. The platform’s core offering is its ability to automatically generate quizzes and study materials from user-uploaded notes, PDFs, and textbooks, using advanced natural language processing (NLP) algorithms.

The AI Assistant Economy refers to the ecosystem of technologies, businesses, and services centered around AI-powered virtual assistants. These assistants are software programs designed to perform tasks, provide information, and interact with users through natural language processing (NLP) and machine learning. AI assistants are no longer limited to personal use. They are now integrated into industries such as healthcare, finance, retail, and logistics. 

We are once again at the crossroads of another significant opportunity. The integration of AI in education is revolutionizing how students learn, teachers instruct, and institutions operate. Khanmigo for Education (KfE) is the latest brainchild of Salman Khan (Khan Academy). This post introduces Khanmigo.

The integration of BCIs (Brain-Computer Interfaces) with AI is reshaping the boundaries of human-machine interaction. AI enhances BCIs by processing and interpreting complex neural data, enabling more precise, adaptive, and efficient control of external devices. This convergence has the potential to revolutionize healthcare, augment human cognition, and redefine the interface between humans and technology.

The Open Agentic Web refers to an evolution of the Internet in which autonomous, AI-powered agents act as intermediaries between users and digital services, operating across platforms, applications, and devices. These agents are not siloed within proprietary ecosystems but are interoperable, open-source, and capable of negotiating, executing, and personalizing tasks on behalf of individuals and organizations.

This post offers a detailed overview of Microsoft’s Copilot AI strategy, including 5 pros and 5 cons. Microsoft Copilot is an AI-powered assistant integrated into Windows and the 365 suite. Leveraging advanced AI technologies, including LLMs and Microsoft Graph, Copilot is designed to enhance productivity, automate repetitive tasks, and streamline workflows across applications, including Windows, Word, Excel, PowerPoint, Outlook, and Designer.

To our knowledge, this is the most comprehensive and up-to-date book on Apple’s AI strategies. As I’ve also shared, the book includes a Prologue with an overview and timeline of Apple Intelligence. It’s important to know that Apple has combined its ongoing work in machine learning (Core ML) with large-scale Artificial Intelligence under the Apple Intelligence umbrella in recent years. Read on to learn more...

I have long relied on basic accessibility tools that allow me to function normally in my academic and professional pursuits. I’ve been privileged to work with scores of differently-abled colleagues, including those with vision, hearing, emotional, physical, and intellectual challenges. As a consumer of accessibility capabilities and a longtime proponent of a genuinely equal-opportunity workplace, I believe that AI offers breakthrough capabilities for those of all abilities. 

Crafting effective AI prompts (questions, requests, commands, instructions, etc.) is both an art and a science. In this post, we’ll break down a simple, repeatable framework for writing great prompts, making it easier for you to communicate with your AI chatbot of choice and get the best possible results. To help you remember the key elements, we’ll use the mnemonic CLEAR.