rewriting

AppWizard
May 17, 2025
Google announced on May 14, 2025, the expansion of its ML Kit offerings with new GenAI APIs powered by the Gemini Nano model, aimed at providing Android developers with access to advanced AI features while ensuring user privacy through on-device processing. The ML Kit GenAI APIs include four key capabilities: summarization, proofreading, rewriting, and image description. These APIs process data locally, keeping user data on the device, ensuring consistent functionality without internet connectivity, and avoiding recurring server costs. This development enhances the accessibility of sophisticated AI capabilities for Android developers and aligns with consumer privacy concerns. The architecture allows for future expansion of capabilities as Gemini models evolve.
AppWizard
May 16, 2025
Google is preparing to unveil new mobile AI tools at the upcoming I/O event, including a suite of APIs that will enable developers to use Gemini Nano for on-device AI applications. The ML Kit SDK will be updated to support on-device generative AI functionalities through Gemini Nano, which integrates with existing models and offers predefined features for ease of implementation. The ML Kit’s GenAI APIs will allow applications to perform tasks such as summarization, proofreading, rewriting, and image description without cloud data transmission. However, Gemini Nano's capabilities are limited compared to cloud-based options, with summaries restricted to three bullet points and image descriptions available only in English. The standard version, Gemini Nano XS, requires about 100MB of storage, while the smaller Gemini Nano XXS is text-only and occupies a quarter of that size. ML Kit is compatible with devices beyond Google's Pixel lineup, including the OnePlus 13, Samsung Galaxy S25, and Xiaomi 15, providing developers opportunities to enhance applications with generative AI features.
AppWizard
May 16, 2025
Google is expanding its Gemini Nano AI model by introducing new ML Kit GenAI APIs, expected to be unveiled at the I/O 2025 event. These APIs will allow developers to integrate features such as text summarization, proofreading, rewriting, and image description generation into their applications. Gemini Nano operates on devices, enhancing privacy by processing data locally. The ML Kit GenAI APIs will support various languages and functionalities, including generating concise summaries, correcting grammar, transforming chat messages, and providing image descriptions. Unlike the experimental AI Edge SDK, the GenAI APIs will be in beta, allowing for broader device compatibility beyond the Pixel 9 series, including other Android devices. Public documentation for the ML Kit GenAI APIs is now available for developers.
Winsage
May 7, 2025
Microsoft has introduced a suite of Windows experiences for Copilot+ PCs, featuring AI agents that help users adjust settings on their computers by interpreting user intent and automating tasks with consent. Users can communicate in natural language to receive guidance or have changes executed directly. This feature will initially be available to English-speaking Windows Insiders on Snapdragon-powered devices, with plans for broader support. Additionally, Microsoft is enhancing Windows search capabilities and expanding Click to Do actions, allowing users to schedule meetings, send messages, consult M365 Copilot, convert data in Excel, and draft documents in Word. Creative tools like Photos, Paint, and the Snipping Tool are receiving updates, including dynamic lighting controls in Photos, a sticker generator in Paint, and new capture capabilities in the Snipping Tool. Upcoming features for Windows 11 Insiders include a phone companion for the Start menu, AI-driven actions in File Explorer, and a new writing function in Notepad for generating text from prompts. Microsoft is also testing a "Draw & Hold" feature in the Snipping Tool and has introduced a text rewriting tool called "Rewrite."
Winsage
April 26, 2025
Microsoft is rolling out enhancements for Copilot+ PCs, including the Recall feature and a revamped Search function that understands contextual meanings for a more intuitive experience. The new "Click to Do" feature allows users to copy text from images, search on-screen content, and summarize or rewrite text by pressing the Windows key and clicking. To use Copilot+, PCs must have specific hardware requirements, including a neural processing unit (NPU) capable of over 40 trillion operations per second. Supported processors for Copilot+ include Qualcomm's Snapdragon X Elite and Plus chips, Intel's Core Ultra 200V-series laptop chips, and AMD's Ryzen AI 300 series. The Recall feature and enhanced Search are available for both Arm and x86 PCs, while some Click to Do features are exclusive to Arm systems.
AppWizard
April 4, 2025
Android devices have historically relied on complex processes for secure media playback due to vulnerabilities like the Stagefright exploit. Android 16 introduces support for in-process software audio codecs, allowing codecs to operate within an app's process, reducing CPU usage and power consumption. The MediaCodecInfo class in Android 16 includes a new getSecurityModel() method to indicate whether a codec uses the standard sandboxed model or the new memory-safe model, which requires codecs to be developed in a memory-safe language like Rust. Google has been developing this feature for several years, aiming to improve the performance of the AAC codec, which is crucial for streaming applications. Current tests show that media codecs still depend on the traditional sandboxed approach, and the implementation of in-process codecs requires codec vendors to rewrite their software in Rust.
Tech Optimizer
April 2, 2025
PostgreSQL is an open-source relational database management system known for its extensibility, which allows developers to enhance its capabilities through various extensions and plugins. The pgstattuple extension provides detailed statistics at the tuple level from PostgreSQL tables and indexes, revealing key metrics such as the number of live tuples, dead tuples, average length of live tuples, total free space, and percentages of free space and dead tuples. These metrics help database administrators identify potential health and performance issues, such as excessive table bloat or index fragmentation. Both Amazon Aurora and Amazon RDS support the pgstattuple extension, which can be activated using the command CREATE EXTENSION pgstattuple;. Functions like pgstattuple(relation) and pgstatindex(index) can be used to analyze physical storage and index statistics. Bloat occurs when unused space is left behind after UPDATE and DELETE operations, and the autovacuum process in PostgreSQL automates the cleanup of dead tuples. However, if autovacuum fails, manual intervention may be necessary. Regular monitoring of bloat is essential for maintaining performance, and metrics from pgstattuple can help optimize autovacuum settings. The pg_cron extension can automate VACUUM operations to manage bloat proactively. Index bloat can also be detected using pgstatindex, and significantly bloated indexes can be rebuilt using REINDEX or pg_repack. Best practices for using pgstattuple include estimating bloat with check_postgres, analyzing physical storage, monitoring dead_tuple_percent, and avoiding interference on highly active tables.
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