Back in October, Google ended software support for the original and second-generation Nest Learning Thermostats.

AI agents are transforming brand-consumer relationships. The authors explore how brands must adapt to a new retail environment in which consumers increasingly rely on generative AI for product researc...

The newest version of Anthropic's model is designed to broaden its capabilities and appeal, allowing for a greater variety of uses and customers.

AI’s true productivity gains require redesigning organizations, not merely adding AI to human-centered systems—much like factories once had to redesign around electricity. Current productivity estimat...

With the rise of gen AI tools, offices have had to contend with a new scourge: “workslop” or low-effort, AI-generated work that looks plausibly polished, but ends up wasting time and effort as it offloads cognitive work onto the recipient. Workslop can have a corrosive effect on office dynamics. But why do people create it and send it to their colleagues, especially if it can lead to bosses, coworkers, and subordinates thinking less of them? New research suggests that the recipe for workslop is surprisingly simple and under the control of management: It’s the result of unclear AI mandates and overwhelmed teams. Leaders are issuing vague directives for employees to start using extremely powerful tools, while many of those employees are overburdened, psychologically depleted, and operating in environments where it doesn’t feel safe to admit uncertainty or ask for help. Addressing this problem first requires understanding pressures at both the top and bottom of organizations.

We test Claude Cowork to see how it performs, its usability for nondevelopers, and how it handles real-world tasks and errors.

Logs, metrics, and traces aren't enough. AI apps require visibility into prompts and completions to track everything from security risks to hallucinations.

In this ACM Tech Talk, researcher Angelica Lo Duca explains how data peaks, gradients and thresholds can reveal meaningful narratives.

We test Claude Cowork to see how it performs, its usability for nondevelopers, and how it handles real-world tasks and errors.

In this ACM Tech Talk, researcher Angelica Lo Duca explains how data peaks, gradients and thresholds can reveal meaningful narratives.