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1月21日周三
  1. OpenAI News

    Stargate Community

    【RSS 原文 · 未经 AI 筛选或翻译】Stargate Community plans detail a community-first approach to AI infrastructure, using locally tailored plans shaped by community input, energy needs, and workforce priorities.

1月20日周二
1月18日周日
1月16日周五
1月15日周四
  1. OpenAI News

    Investing in Merge Labs

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI is investing in Merge Labs to support new brain computer interfaces that bridge biological and artificial intelligence to maximize human ability, agency, and experience.

  2. OpenAI News

    Inside GPT-5 for Work

    【RSS 原文 · 未经 AI 筛选或翻译】A concise guide to how GPT-5 powers real business workflows—across marketing, engineering, finance, strategy, legal, and IT—and how to evaluate it for your team.

1月14日周三
1月13日周二
1月10日周六
  1. Berkeley AI Research

    Information-Driven Design of Imaging Systems

    【RSS 原文 · 未经 AI 筛选或翻译】An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through algorithms before producing the final photo. MRI scanners collect frequency-space measurements that require reconstruction before doctors can view them. Self-driving cars process camera and LiDAR data directly with neural networks. What matters in these systems is not how measurements look, but how much useful information they contain. AI can extract this information even when it is encoded in ways that humans cannot interpret. And yet we rarely evaluate information content directly. Traditional metrics like resolution and signal-to-noise ratio assess individual aspects of quality separately, making it difficult to compare systems that trade off between these factors. The common alternative, training neural networks to reconstruct or classify images, conflates the quality of the imaging hardware with the quality of the algorithm. We developed a framework that enables direct evaluation and optimization of imaging systems based on their information content. In our NeurIPS 2025 paper , we show that this information metric predicts system performance across four imaging domains, and that optimizing it produces designs that match state-of-the-art end-to-end methods while requiring less memory, less compute, and no task-specific decoder design. Why mutual information? Mutual information quantifies how much a measurement reduces uncertainty about the object that produced it. Two systems with the same mutual information are equivalent in their ability to

1月9日周五
1月8日周四
  1. OpenAI News

    OpenAI for Healthcare

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI for Healthcare enables secure, enterprise-grade AI that supports HIPAA compliance—reducing administrative burden and supporting clinical workflows.

1月7日周三
  1. OpenAI News

    Introducing ChatGPT Health

    【RSS 原文 · 未经 AI 筛选或翻译】ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.

1月6日周二
1月5日周一
1月2日周五
  1. OpenAI News

    Announcing OpenAI Grove Cohort 2

    【RSS 原文 · 未经 AI 筛选或翻译】Applications are now open for OpenAI Grove Cohort 2, a 5-week founder program designed for individuals at any stage, from pre-idea to product. Participants receive $50K in API credits, early access to AI tools, and hands-on mentorship from the OpenAI team.