NoteBookLM Upgrades There's always new stuff from NoteBook. Coming soon will be six new video formats as well as a long and short version to play with. (https://lnkd.in/ekkvgdef) Also I hear infographics and Deep research maybe on their way. "Google is actively developing an "Infographics" artifact feature for NotebookLM, designed to transform dense research notes or meeting minutes into shareable, visually engaging graphics. This new capability, currently in development and visible only in the codebase, will allow users to select the language and specify focus areas, such as extracting content from a single source document, to generate tailored visuals. The feature is expected to support both landscape and portrait formats, enhancing its utility for reports and presentations. As of October 2025, the infographics tool remains in the early stages of development, with no official release date announced by Google. While initial indications suggest a template-based system for speed and consistency, the possibility of deeper customization for layouts and design elements is still uncertain. The integration of Google's nano-banana model, previously used for creative editing in Flow, is speculated to power the generative visual content, potentially enabling rapid and high-quality infographic creation within NotebookLM's workflow."
NoteBookLM updates: new video formats, infographics, and research features
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🍌 Google Nano-Banana is now live on our platform. One of the world’s most advanced image generation and editing models, now integrated directly into our platform. Seamlessly mix styles, blend scenes, and make hyper realistic edits in seconds. 🤯 Now available for use. ⬇️ Explore below, beta is live: https://lnkd.in/eDzzZsSa
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Google's NotebookLM is incredible. It's a perfect example of an "agentic" workflow in action. For this video, I simply uploaded a PDF of an article I recently published in the Michigan Bar Journal. That's it. No prompting, no additional steps required... NotebookLM autonomously handled everything: generating images with Nano Banana (their latest image model), creating the audio narration, and seamlessly stitching it all together into a cohesive presentation. The system made all the creative and technical decisions on its own. *I also created a custom logo intro using Google Flow (Veo 3.1), Google's state-of-the-art video generation model.
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Introducing Clipper — a lightweight in/out video clipping app built for fast-turn production workflows. When you’re reviewing a long recording, sometimes you just need a quick way to mark, cut, and export — without loading up a heavy editing program or waiting on a separate transcription tool. Clipper runs on FastAPI + FFmpeg, featuring: • Drag-and-drop MP4 upload • Instant in/out marking with hotkeys • Asynchronous export with live progress • Automatic transcript generation via faster-whisper • Safe server-side file cleanup and management This short demo shows the entire workflow — upload → mark → export → transcript. Originally designed to help our team move faster between live events and post-production review, but flexible enough for any newsroom, studio, or creative pipeline. #engineering #production #fastapi #ffmpeg #automation #postproduction #ai #workflow
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New article: Compose-Native CameraX Is Now Stable: End-to-End Guide for Jetpack Compose CameraX’s Compose features have recently landed in the stable channel, and now is the perfect moment to dive in and explore what CameraXViewfinder brings to Jetpack Compose: accurate coordinate transforms, a clean lifecycle, and overlays that behave. What you’ll get: built-in tap-to-focus & pinch-to-zoom (with correct transforms), a cleaner lifecycle and reliable overlays, practical tips on EXTERNAL vs EMBEDDED implementation modes, and a clone-and-run repo. 🔗 Read the article: https://lnkd.in/d6hqVtKf #AndroidDev #CameraX #JetpackCompose #Kotlin #MobileDev
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🔧 TL;DR: Depix is a proof-of-concept tool that attempts to recover plaintext from pixelized screenshots using block-wise matching against De Bruijn-based search images. ✨ KEY FEATURES: • Block-matching against a prepared De Bruijn sequence search image. • Support for gamma-encoded averaging and linear sRGB averaging modes. • Auxiliary box-detection utility to locate pixel blocks. 🚀 USE CASES: • Recovering short, redacted strings from screenshots when pixelization used a linear box filter. • Demonstrating limitations of naive pixelation as a redaction technique. 💡 BENEFITS: • Shows concrete failure modes of simple box-filter pixelation. • Provides a repeatable PoC for research and awareness. Depix is a targeted research tool that highlights how pixelization by a linear box filter can leak recoverable information when paired with a crafted search image. #tool #depixelization #image_processing https://lnkd.in/dw6KkMRQ
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2 huge launches announced by Frame.io at MAX yesterday. 1. Smarter search with Media Intelligence 🔎 2. New Frame integration in Premiere 🎥 The first makes Search far more intuitive. Find files using natural language, not just tags. We've all spent hours hunting for a file when a colleague asks for it. Now “drone shots from last week" will actually pull up the correct file because of automatic indexing. The second brings more Frame features into the Premiere integration. Example: importing media from Frame directly into your project bins. Instead of downloading files → organizing on your hard drive → importing to Premiere, you can now browse Frame folders directly in Premiere. https://lnkd.in/evMpXJGg HUGE h/t to the team behind these launches Kyle Gesuelli Dan Logan JJ Powell Michael Novak Michael Antonicelli Julia Rieger Kayla Thompson Mel Demaestri Brandon Fu Chris Piwinski Olivia Skopas Philomena Block Annika Erickson Patrick Southern Steve Holyhead
Connected Creativity for Modern Production: Adobe Max 2025 Updates
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NotebookLM is a great tool that helps you organize your notes, links, videos, PDFs etc. at one place. You can then do Q&A with them, generate audio overviews. But, now you can even create Video Overviews, powered by Google's latest Nano Banana. I just tested it out and it looks super promising! https://lnkd.in/g7Wc2R6Q
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Post # 2 - Barely AI Parallel programming in CPU and GPU share a lot of commonalities, but they are massively different too. With the context of GPU, the following are massively different from CPU: - Creating threads is cheap - At a time there are 1000s of thread running - Each thread in a block (warp to be precise) executes the same command SPMD - Context switches are cheap One needs to think completely differently about how to organize memory access in GPU. SPMD (single program, multiple data) is one critical information that dictates this. A small read with example https://lnkd.in/eyWXEUVS As always feedbacks are welcomed!!! #ai #llm #cuda #parallel #programming
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