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开源项目 The Verge AI

These camera-free smart glasses made me feel like Tony Stark

Xgimi, the Chinese company known for its all-in-one smart projectors, is expanding its portfolio with a new line of screen-equipped smart glasses that first debuted at CES 2026. Unlike AR glasses from companies like Meta and Snap, Xgimi’s new privacy-focused MemoMind One skip cameras for a lighter and more discreet design that helps hide their […]

Andrew Liszewski 2026-06-29 23:16 11 原文
AI 资讯 The Verge AI

Supreme Court allows firing of FTC commissioners, ends agency independence

The Supreme Court just placed once-independent agencies more firmly under presidential control. The court ruled in Slaughter v. Trump with a 6-3 vote that President Donald Trump had the authority to fire the Federal Trade Commission's two Democratic commissioners, even though it broke with decades of prior legal precedent at the time. The justices have […]

Emma Roth 2026-06-29 23:10 9 原文
AI 资讯 InfoQ

Eliya 25 Brings a JVM-Level Diagnostic Profile to OpenJDK 25 LTS

Asymm Systems has released Eliya 25.0.3, an OpenJDK 25 LTS distribution aimed at improving production diagnostics in Java environments. It consolidates several HotSpot features into an opt-in Production profile. Eliya is designed for teams needing reliable diagnostic data, especially in regulated settings. Future enhancements are planned for Phase 2. By A N M Bazlur Rahman

A N M Bazlur Rahman 2026-06-29 22:50 11 原文
AI 资讯 MIT Technology Review

Agent confidence on the technical frontier

Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial outcomes their businesses seek. A prime opportunity for AI agents…

MIT Technology Review Insights 2026-06-29 22:44 8 原文
AI 资讯 InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes. By Leela Kumili

Leela Kumili 2026-06-29 22:26 9 原文