Research news on Agentic consumer AI

Agentic consumer AI denotes autonomous and semi-autonomous artificial intelligence systems embedded in consumer and workplace contexts to perceive goals, plan actions, and execute tasks on users’ behalf. These systems combine generative AI with persistent personal assistants, shopping and travel agents, in-cabin automotive companions, and integrated services in devices such as smart speakers and phones. They support decision-making, personalization, pricing, customer engagement, and creative collaboration, increasingly coordinating across software, robotics, and payment infrastructures to manage everyday activities with minimal direct user control.

Machine learning & AI

Q&A: Promise and perils of agentic AI

Chatbots and large language models can execute a seemingly countless number of tasks, from writing emails and reports to generating code and analyzing data. However, they still primarily act only in response to user prompts ...

Security

How attackers persuade AI agents to break the rules

Today, most of us interact with AI assistants—reactive bots that wait for human instructions. Yet AI assistants are rapidly being replaced by agentic AI agents that can interact with external tools, browse the web, generate ...

Engineering

Generative AI: Modeling a proper cuppa from a proper pot

The Yixing Zisha teapot sits neatly at the intersection of art, engineering and heritage. As such, it makes for an intriguing test case for a technology increasingly taking on creative tasks across almost every field of human ...

Business

Will companies ever be run by an AI CEO?

OpenAI's CEO Sam Altman has speculated about how long it will take for artificial intelligence to replace senior leadership teams in organizations. "Shame on me," Altman told the Conversations with Tyler podcast in November ...

Machine learning & AI

Q&A: Harnessing statistics to improve personalized medicine

Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and ...

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