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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
  2. 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.

12月24日周三
12月23日周二
12月22日周一
  2. OpenAI News

    Continuously hardening ChatGPT Atlas against prompt injection

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive discover-and-patch loop helps identify novel exploits early and harden the browser agent’s defenses as AI becomes more agentic.

12月19日周五
12月18日周四
  1. OpenAI News

    Evaluating chain-of-thought monitorability

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable.

  2. OpenAI News

    Deepening our collaboration with the U.S. Department of Energy

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI and the U.S. Department of Energy have signed a memorandum of understanding to deepen collaboration on AI and advanced computing in support of scientific discovery. The agreement builds on ongoing work with national laboratories and helps establish a framework for applying AI to high-impact research across the DOE ecosystem.

  3. OpenAI News

    AI literacy resources for teens and parents

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI shares new AI literacy resources to help teens and parents use ChatGPT thoughtfully, safely, and with confidence. The guides include expert-vetted tips for responsible use, critical thinking, healthy boundaries, and supporting teens through emotional or sensitive topics.

  4. OpenAI News

    Updating our Model Spec with teen protections

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in higher-risk situations, and builds on our broader work to improve teen safety across ChatGPT.

  7. OpenAI News

    Introducing GPT-5.2-Codex

    【RSS 原文 · 未经 AI 筛选或翻译】GPT-5.2-Codex is OpenAI’s most advanced coding model, offering long-horizon reasoning, large-scale code transformations, and enhanced cybersecurity capabilities.

12月17日周三
  4. OpenAI News

    Introducing OpenAI Academy for News Organizations

    【RSS 原文 · 未经 AI 筛选或翻译】OpenAI is launching the OpenAI Academy for News Organizations, a new learning hub built with the American Journalism Project and The Lenfest Institute to help newsrooms use AI effectively. The Academy offers training, practical use cases, and responsible-use guidance to support journalists, editors, and publishers as they adopt AI in their reporting and operations.

  5. OpenAI News

    Developers can now submit apps to ChatGPT

    【RSS 原文 · 未经 AI 筛选或翻译】Developers can now submit apps for review and publication in ChatGPT, with approved apps appearing in a new in-product directory for easy discovery. Updated tools, guidelines, and the Apps SDK help developers build powerful chat-native experiences that bring real-world actions into ChatGPT.

  6. OpenAI News

    The state of enterprise AI

    【RSS 原文 · 未经 AI 筛选或翻译】A data-driven look at enterprise AI adoption, showing how organizations move from experimentation to real productivity gains and new capabilities.

12月16日周二