AI capabilities

Winsage
May 20, 2025
The Model Context Protocol (MCP) is a lightweight, open protocol functioning as JSON-RPC over HTTP, facilitating standardized discovery and invocation of tools. MCP defines three roles: MCP Hosts (applications accessing capabilities), MCP Clients (initiators of requests), and MCP Servers (services exposing functionalities). Windows 11 will incorporate MCP to enable developers to create intelligent applications leveraging generative AI. An early preview of MCP capabilities will be available for developer feedback. MCP introduces security risks, including cross-prompt injection, authentication gaps, credential leakage, tool poisoning, lack of containment, limited security review, registry risks, and command injection. To address these, Windows 11's MCP Security Architecture will establish security requirements for MCP servers, ensuring user safety and transparency, enforcing least privilege, and implementing security controls like proxy-mediated communication, tool-level authorization, a central server registry, and runtime isolation. MCP servers must comply with security requirements, including mandatory code signing, unchanged tool definitions at runtime, security testing, mandatory package identity, and declared privileges. An early private preview of MCP server capability will be offered to developers post-Microsoft Build for feedback, with a secure-by-default enforcement strategy planned for broader availability. Microsoft aims to enhance defenses continuously and collaborate with partners to bolster MCP's security framework.
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 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 16, 2025
Microsoft has resolved a dual-booting issue caused by a patch released in 2024 that incorrectly applied Secure Boot Advanced Targeting (SBAT) settings to custom dual-boot configurations, preventing users from booting into Linux. This issue has been fixed in the May 2025 Windows 11 update (version 24H2), allowing seamless dual-booting. Additionally, Microsoft launched a new 13-inch Surface Laptop, which is the lightest and thinnest laptop the company has produced, weighing 2.7 lbs and featuring enhanced performance and advanced AI capabilities.
AppWizard
May 15, 2025
Google is introducing AI-powered accessibility features for Android, targeting users with low vision or hearing impairments. An upgraded version of TalkBack allows users to ask questions about images and receive descriptive answers. The "Expressive Captions" feature provides real-time captions that include tone and emotions, currently rolling out in English in the U.S., U.K., Canada, and Australia for Android 15 and above. Google is also opening its Project Euphonia repository to developers to create customized speech recognition tools for diverse speech patterns. These initiatives are part of Google's commitment to accessibility and user-friendliness.
Tech Optimizer
May 14, 2025
Neon can spin up a Postgres instance in less than 500 milliseconds. Databricks has acquired Neon, rumored to be valued at over a billion, to enhance its AI capabilities. Neon focuses on developing a premier Postgres solution for cloud environments and aims to refine its offerings with Databricks' support. Neon’s serverless architecture allows for a fully isolated Postgres database deployment in under 500 milliseconds, separates compute and storage for cost efficiency, and maintains compatibility with the Postgres ecosystem. The integration of Neon’s architecture with Databricks' platform aims to improve AI agent systems, alleviate performance bottlenecks, streamline infrastructure, and reduce operational costs. The acquisition will result in the Neon team joining Databricks, pending regulatory approvals.
Tech Optimizer
May 14, 2025
Databricks intends to acquire Neon, a leader in serverless Postgres technology, to enhance its database and developer experience. The database market is valued at over [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Databricks, a prominent player in the Data and AI landscape, has announced its intention to acquire Neon, a leading innovator in serverless Postgres technology. This strategic move comes as the database market, valued at over 0 billion, stands on the brink of significant transformation driven by advancements in AI. Databricks aims to enhance Neon's database and developer experience, catering to both existing and prospective customers and partners. Neon: An Open, Serverless Foundation for Developers and AI Agents In the evolving landscape of software development, AI agents are becoming indispensable. Neon is specifically designed to facilitate the workflows of these agents. Recent telemetry data indicates that more than 80 percent of databases provisioned on Neon are generated automatically by AI agents, highlighting the rapid growth of agent-driven workloads. These workloads present distinct characteristics that set them apart from traditional human-driven processes: Speed + flexibility: AI agents operate at machine speed, eliminating the bottlenecks often associated with traditional database provisioning. Neon's capability to launch a fully isolated Postgres instance in under 500 milliseconds, along with its support for instant branching and forking of database schemas and data, ensures that experiments can be conducted without disrupting production environments. Cost proportionality: The demand for a cost structure that scales with usage is paramount for agents. Neon's architecture separates compute and storage, allowing for a total cost of ownership that aligns with the actual queries executed across thousands of ephemeral databases. Open source ecosystem: AI agents thrive in an environment that leverages the extensive Postgres community. Neon is fully compatible with Postgres and integrates seamlessly with popular extensions. Ali Ghodsi, Co-Founder and CEO of Databricks, remarked on the significance of this acquisition: "The era of AI-native, agent-driven applications is reshaping what a database must do. Neon exemplifies this shift, with four out of five databases on their platform being created by code rather than human intervention. By integrating Neon into Databricks, we are providing developers with a serverless Postgres solution that meets the demands of agentic speed, flexible economics, and the openness of the Postgres community." Databricks and Neon's Shared Vision The collaboration between Databricks and Neon aims to dismantle the conventional constraints of databases that require simultaneous scaling of compute and storage, a limitation that can impede AI workloads. The fusion of Neon's serverless Postgres architecture with the Databricks Data Intelligence Platform is set to empower developers and enterprise teams to efficiently construct and deploy AI agent systems. This integration not only mitigates performance bottlenecks associated with numerous concurrent agents but also streamlines infrastructure, reduces costs, and fosters innovation—all while maintaining Databricks' core principles of security, governance, and scalability. Nikita Shamgunov, CEO of Neon, expressed optimism about the future: "Four years ago, we set out to build the best serverless Postgres for the cloud, highly scalable and open to all. With this acquisition, we aim to accelerate that mission, bolstered by the support and resources of an AI powerhouse. Databricks was founded by open-source pioneers dedicated to simplifying the interaction between developers and data at any scale. Together, we are embarking on a new chapter in our ambitious journey." Following the completion of the transaction, Neon's skilled team is expected to join Databricks, bringing valuable expertise and continuity to Neon's thriving community. This partnership will enable organizations to break down data silos, streamline architecture, and develop AI agents that are more responsive, reliable, and secure. Further insights will be shared at the upcoming Data + AI Summit, scheduled to take place in San Francisco from June 9 to 12. Details Regarding the Proposed AcquisitionThe acquisition is subject to customary closing conditions, including necessary regulatory approvals. About NeonFounded in 2021 by a team of seasoned database engineers and Postgres contributors, Neon aims to provide a serverless Postgres platform that accelerates the development of reliable and scalable applications, catering to projects ranging from personal endeavors to enterprise-level solutions. About DatabricksDatabricks is a leader in Data and AI, trusted by over 10,000 organizations globally—including notable names like Block, Comcast, Condé Nast, Rivian, and Shell, as well as over 60% of the Fortune 500. The Databricks Data Intelligence Platform empowers organizations to harness their data effectively and leverage AI capabilities. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. For more information, follow Databricks on X, LinkedIn, and Facebook." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"] billion and is undergoing transformation due to AI advancements. More than 80% of databases on Neon are provisioned automatically by AI agents, which operate at machine speed and require a cost structure that scales with usage. Neon's architecture separates compute and storage, aligning costs with actual queries. The integration of Neon's serverless Postgres with Databricks aims to improve AI workloads by dismantling traditional database constraints. Following the acquisition, Neon’s team will join Databricks, enhancing their community and capabilities. The acquisition is subject to customary closing conditions and regulatory approvals. Neon was founded in 2021 to provide a scalable serverless Postgres platform. Databricks serves over 10,000 organizations globally, including many Fortune 500 companies.
Winsage
May 14, 2025
Microsoft's Recall feature is set to debut after a delay due to security concerns. The update for Windows 11, released on May 13th, includes AI-driven tools to enhance user interactions and productivity. Key features integrated from the April 25th Preview update include: - Recall (preview): Allows users to retrieve information from various applications, websites, and documents using AI for quick searches based on content descriptions, with options to save snapshots of activities and manage them through Windows Hello. - Click to Do (preview): Enables immediate action on items displayed on the screen using a keyboard shortcut for editing or summarizing content. - Improved Windows Search: Enhanced search capabilities allow natural language queries to locate documents and settings. - Phone Link: Facilitates interaction between Windows PCs and mobile devices for calls, messages, and content sharing. - Widgets: Web developers can create interactive widgets with customization options for lock screen widgets. Additional updates include improvements to File Explorer, accessibility enhancements, and new settings management options for app recommendations. The update for Windows 10 focuses on a fix for Secure Boot Advanced Targeting (SBAT) and Linux Extensible Firmware Interface (EFI) to improve detection of Linux systems. Detailed patch notes and download links are available through the Microsoft Update Catalog.
Search