AI News on November 15, 2025

Product

NotebookLM Reaches Milestone: Now Supports Image Data Sources for Enhanced Information Retrieval

NotebookLM has achieved a significant milestone by integrating support for image data sources. This new capability allows users to upload and retrieve information from various image types, including classroom whiteboard notes, textbook content, tables, and even impromptu street photographs. This feature is anticipated to be particularly beneficial for students and individuals attending lectures, offering a versatile new way to manage and access visual information.

歸藏(guizang.ai)(@op7418) - 歸藏(guizang.ai) (@op7418)
Technology

Google Cloud and UCLA Introduce Supervised Reinforcement Learning (SRL) to Empower Smaller AI Models with Advanced Multi-Step Reasoning Capabilities

Researchers from Google Cloud and UCLA have unveiled Supervised Reinforcement Learning (SRL), a novel reinforcement learning framework designed to significantly enhance the ability of language models to tackle complex multi-step reasoning tasks. SRL redefines problem-solving as a sequence of logical actions, providing rich learning signals during training. This innovative approach allows smaller, more cost-effective models to master intricate problems previously beyond the scope of conventional training methods. Experiments demonstrate SRL's superior performance on mathematical reasoning benchmarks and its effective generalization to agentic software engineering tasks. Unlike traditional Reinforcement Learning with Verifiable Rewards (RLVR), which offers sparse, outcome-based feedback, SRL provides granular feedback, addressing the learning bottleneck faced by models struggling with difficult problems where correct solutions are rarely found within limited attempts. This enables models to learn from partially correct steps, fostering higher reasoning abilities in less expensive models.

VentureBeat
Technology

NVIDIA Earth-2 and CorrDiff Achieve 50x Speedup in Weather Prediction with Gen AI Super-Resolution for Scalable AI Models

Generative AI super-resolution is significantly accelerating weather prediction, achieving a 50x speedup through the integration of NVIDIA Earth-2 and CorrDiff. This advancement enables the development of low-compute, scalable AI models, leading to faster training times and the capability for real-time predictions. The technology promises to revolutionize how weather forecasts are generated and delivered, making them more efficient and accessible.

Twitter @NVIDIA AI Developer - NVIDIA AI Developer
Technology

New Foundational AI Model Leverages Supercomputing for Early Detection of Rare Cancers from 3D Medical Imaging Data

A new foundational AI model, developed by TU/e's team using the SPIKE-1 supercomputer, is capable of adapting to identify early signs of rare cancers. Medical imaging generates vast amounts of 3D data that are challenging to analyze comprehensively for disease detection, particularly for rare cancer types. By utilizing SPIKE-1, which boasts approximately 100 times the computing power of its predecessor, the team created a versatile AI model trained on over 250,000 CT scans. This innovation aims to enable faster and more accurate cancer detection. TU/e is also making these state-of-the-art tools open source to foster global collaboration and significantly advance rare cancer research and healthcare innovation worldwide.

Twitter @NVIDIA AI Developer - NVIDIA AI Developer
Technology

Meta Tech Podcast Explores How Open Hardware and AI Drive Environmental Sustainability, Featuring OCP Summit 2025 Announcements and Net Zero Goals

The latest Meta Tech Podcast episode features Pascal Hartig, Dharmesh, and Lisa discussing the environmental benefits of open-source software and the emerging field of open hardware. The discussion highlights Meta's key announcements from the 2025 Open Compute Project (OCP) Summit, including a new open methodology utilizing AI to analyze Scope 3 emissions. The podcast delves into OCP's history and its growth to over 400 contributing companies. Listeners will learn how AI and open hardware are instrumental in Meta's pursuit of net-zero emissions by 2030, specifically mentioning AI's role in developing innovative concrete mixes for data center construction. The episode is available on Spotify, Apple Podcasts, and Pocket Casts.

Engineering at Meta
Industry News

OpenAI Criticizes Court Order Granting NYT Access to 20 Million User Chats

OpenAI has expressed strong disapproval of a recent court order that permits the New York Times to review 20 million complete user chat logs. The details surrounding the court's reasoning for this decision, the specific context of the dispute between OpenAI and the New York Times, and the potential implications for user privacy or data security are not provided in the original submission. The news was submitted by u/F0urLeafCl0ver on November 14, 2025, to the r/artificial subreddit.

newest submissions : artificial
Technology

Databricks Unveils 'ai_parse_document' to Tackle Unsolved PDF Parsing for Agentic AI, Streamlining Enterprise Data Extraction

Databricks has introduced 'ai_parse_document' technology, integrated with its Agent Bricks platform, aiming to resolve the persistent challenge of accurately parsing complex PDF documents for enterprise AI. Despite common assumptions, extracting structured data from enterprise PDFs, which often combine digital content, scanned pages, tables, and irregular layouts, remains largely unsolved by existing tools. This bottleneck hinders enterprise AI adoption, as approximately 80% of enterprise knowledge is locked in these difficult-to-process documents. Current workarounds involve stacking multiple specialized tools, leading to significant custom data engineering and maintenance. Databricks' new tool seeks to replace these multi-service pipelines with a single function, addressing issues like dropped or misread tables, figure captions, and spatial relationships that compromise downstream AI applications and RAG systems.

VentureBeat