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Android 17 Enhances Gaming Experience with Button Customization
BetaBeacon
April 9, 2026

Android 17 Enhances Gaming Experience with Button Customization

Android 17 has introduced customizable in-game control buttons for mobile gamers. This feature allows users to change and customize button positions, size, and transparency to suit their personal play style. It also supports integration with external controllers for a more precise button mapping. This development is part of Google's efforts to enhance mobile gaming as the industry becomes more competitive.
How to Profile Modern PC Games with NVIDIA Nsight Graphics
AppWizard
April 6, 2026

How to Profile Modern PC Games with NVIDIA Nsight Graphics

Performance analysis in PC gaming has become more complex with the introduction of DirectX 12 and Vulkan, incorporating technologies like asynchronous compute, hardware ray tracing, and machine learning-assisted denoising. Understanding GPU performance requires advanced tools to analyze workload distribution and shader behavior, with NVIDIA Nsight Graphics being a key resource. NVIDIA Nsight Graphics is a graphics debugger and profiler for modern graphics APIs, featuring the GPU Trace Profiler, which provides detailed insights into GPU execution and performance bottlenecks. Recent updates have improved its utility, including a Flame Graph for the Shader Profiler and support for NVIDIA's DLSS in D3D12 applications. The Peak-Performance-Percentage analysis method focuses on identifying GPU workload constraints and optimizing utilization rather than relying on assumptions about performance bottlenecks. This methodology is applied using Nsight Graphics to analyze GPU traces from the game Cyberpunk 2077, contrasting traditional rasterization with path tracing enhanced by DLSS Ray Reconstruction. The test setup included an Intel Core i7-14700K CPU, 32 GB RAM, and an NVIDIA GeForce RTX 4090 GPU, capturing two scenarios: one with raster-only settings and another with path tracing and DLSS. The analysis revealed that the rasterized frame's most costly aspect was lighting processing, while the path-traced frame showed increased total frame cost and a hybrid workload involving rasterization, ray traversal, and AI-driven processes. Key findings indicated that modern GPU performance is heavily influenced by memory behavior rather than just shader arithmetic, with significant time spent on compute-driven lighting processing and data movement. The analysis also highlighted that ray tracing performance is constrained by memory efficiency, indicating that performance does not scale linearly with RT-core throughput.
AWS Engineer Reports PostgreSQL Performance Halved By Linux 7.0, But A Fix May Not Be Easy
Tech Optimizer
April 4, 2026

AWS Engineer Reports PostgreSQL Performance Halved By Linux 7.0, But A Fix May Not Be Easy

An engineer from Amazon/AWS reported a significant performance regression in PostgreSQL when running on the nearly finalized Linux 7.0 kernel, with throughput dropping to about half of previous kernel versions. The regression, observed on a Graviton4 server, is attributed to increased time spent in a user-space spinlock due to changes in preemption modes in Linux 7.0. A patch to revert to PREEMPT_NONE as the default preemption model has been submitted but may not be adopted. Peter Zijlstra suggested that PostgreSQL should adapt to utilize the Restartable Sequences (RSEQ) time slice extension to mitigate the performance drop. If this adaptation is accepted, the responsibility for the performance decline may shift to PostgreSQL, potentially affecting users until the database is updated. The stable release of Linux 7.0 is expected in about two weeks, coinciding with the launch of Ubuntu 26.04 LTS.
I had high hopes for Nvidia's DLSS 4.5 Dynamic Multi Frame Gen, but it's not quite what I expected
AppWizard
April 2, 2026

I had high hopes for Nvidia’s DLSS 4.5 Dynamic Multi Frame Gen, but it’s not quite what I expected

Nvidia DLSS 4.5 has been released in beta, featuring advancements in frame generation technology, including the ability to generate up to five "fake frames" with a 6x frame generation option. The Dynamic Multi Frame Generation (MFG) allows users to benefit from multi-frame generation without it being constantly active. This feature is available exclusively for RTX 5000 series graphics cards. Testing with an RTX 5080 showed that activating 2x frame generation increased frame rates to an average of 105fps, while 4x frame generation raised it to approximately 180fps, albeit with increased input lag. The Dynamic Frame Generation mode maintained frame rates between 210fps and 250fps but resulted in a peak PC latency of 68ms. Lowering the target FPS to 120 stabilized frame rates around 120fps with 2x or 3x frame generation, improving responsiveness. Results may vary based on game settings, and exceeding 3x frame generation can lead to input lag. Dynamic MFG allows for easier configuration by automatically adjusting frame generation based on the target refresh rate.
EDB Postgres AI for WarehousePG: Reclaiming control of the enterprise data warehouse
Tech Optimizer
April 1, 2026

EDB Postgres AI for WarehousePG: Reclaiming control of the enterprise data warehouse

Many enterprises are transitioning from traditional proprietary data warehouse platforms, such as Teradata and Snowflake, due to issues like vendor lock-in, unpredictable pricing, and limited flexibility. EDB Postgres® AI (EDB PG AI) offers WarehousePG, an open-source, petabyte-scale data warehouse built on Postgres, designed to provide control, predictability, and data sovereignty while maintaining performance. WarehousePG utilizes a massively parallel processing (MPP) architecture, allowing it to efficiently execute complex queries across large datasets. It offers predictable performance without proprietary constraints, enabling organizations to avoid vendor-controlled execution engines. WarehousePG supports hybrid storage and SQL access to external data lakes through the Platform Extension Framework (PXF), simplifying ETL processes. It includes FlowServer for real-time data ingestion and supports in-database AI and machine learning, allowing for advanced analytics without transferring data outside the warehouse. The platform is engineered for high availability and enterprise readiness, with features like workload management and observability. Migration from legacy platforms is facilitated through a low-risk modernization pathway. Overall, WarehousePG provides a modern alternative to traditional data warehouses, emphasizing architectural control and open-source economics.
Microsoft to upgrade Windows Subsystem for Linux (WSL) with faster file access, better networking and easier setup
Winsage
March 31, 2026

Microsoft to upgrade Windows Subsystem for Linux (WSL) with faster file access, better networking and easier setup

Microsoft plans to enhance the Windows Subsystem for Linux (WSL) in 2026, focusing on several key improvements for developers. These enhancements include: - Faster file performance between Linux and Windows to address current latency issues. - Improved network compatibility and throughput for better communication between environments. - A streamlined setup and onboarding experience to simplify installation for newcomers. - Enhanced enterprise management and security features to improve control and safety in corporate settings.
silver Android smartphone
Winsage
March 30, 2026

Why Teams, OneDrive, and Windows 11 work better together on modern hardware

Microsoft Teams and OneDrive are integral to Windows 11, enhancing productivity and collaboration. To run Windows 11, a dedicated Trusted Platform Module (TPM) 2.0 chip is essential for security features like device attestation and secure key storage. TPM 2.0 enables seamless sign-ins via Windows Hello and ensures that only secure devices can access sensitive data in Teams and OneDrive. BitLocker, which also uses TPM 2.0, protects data on lost or stolen devices. Modern processors from Intel, AMD, and Qualcomm use hybrid architecture, optimizing performance by allocating specialized cores for demanding tasks and energy-efficient processes. This configuration improves video conferencing in Teams and file operations in OneDrive. NVMe SSDs are standard in Windows 11 PCs, providing low latency and high bandwidth that enhance responsiveness, boot times, and multitasking. Fast SSDs reduce wait times for file sharing in Teams. Many Windows 11 PCs are Copilot+ PCs, equipped with a Neural Processing Unit (NPU) that enhances on-device AI capabilities. The NPU improves real-time transcription in Teams and simplifies document searches in OneDrive. Modern GPUs manage animations and display settings in Windows 11, improving video call efficiency in Teams and enhancing thumbnail generation and video playback in OneDrive. The latest Wi-Fi standards, including Wi-Fi 6, Wi-Fi 6E, and Wi-Fi 7, provide enhanced security and reliability. They ensure low latency and high throughput for seamless video conferencing in Teams and faster uploads and downloads in OneDrive.
Windows 11 File Explorer is finally getting faster in 2026, but it’s been slower than Windows 10 for years
Winsage
March 30, 2026

Windows 11 File Explorer is finally getting faster in 2026, but it’s been slower than Windows 10 for years

Microsoft plans to enhance the File Explorer experience in Windows by 2026, with initial improvements available to Windows Insiders as early as April. Key updates will focus on a quicker launch experience, reduced flicker, smoother navigation, and improved performance for everyday file tasks. Enhancements will address latency issues in search, navigation, and context menus, aiming for faster and more reliable file copying and moving. The context menu will see lower latency when right-clicking, and system-level changes will aim to reduce interaction latency and improve the shared UI infrastructure. Third-party file managers currently demonstrate faster performance compared to the default File Explorer, highlighting the need for Microsoft to improve its application.
Google Unveils AppFunctions to Connect AI Agents and Android Apps
AppWizard
March 30, 2026

Google Unveils AppFunctions to Connect AI Agents and Android Apps

Google has introduced early beta features for Android aimed at enhancing task-centric capabilities through an "agent-first" operating system. The key component is AppFunctions, a Jetpack API that allows developers to expose self-describing capabilities within their applications for seamless interaction with AI agents while prioritizing user privacy and performance by executing tasks on-device. AppFunctions operates similarly to backend capabilities declared via MCP cloud servers but runs locally on the device. Additionally, a UI automation platform has been introduced to assist users in performing complex tasks without requiring developer input. This platform allows users to complete tasks like placing pizza orders or coordinating rideshares through the Gemini Assistant. Privacy and user control are emphasized, with all interactions designed for on-device execution and mandatory confirmations for sensitive tasks. Currently, these features are in early beta and available exclusively on the Galaxy S26 series, with plans for broader deployment in Android 17.
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