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Mclaughlinsoftware

No Set f(x) in GO

GO programming language does not have a native set function to create a set from a list.
In Python, you can easily convert a non-unique list of integers into a sorted set using list, set, and sorted functions.
GO does not have an equivalent to Python's IDLE, but the GO Playground can be used for small function testing.
To print the unique integers in ascending order in GO, you can use a combination of map, slice, and sort methods.

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VentureBeat

388

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The open-source AI debate: Why selective transparency poses a serious risk

The debate about openness and transparency in AI has gained prominence as tech giants endorse open-source AI releases.
True open-source collaboration in AI can lead to faster innovation while ensuring technology is unbiased and ethical.
Open-source software like Linux, Apache, MySQL, and PHP has been pivotal in driving innovation in the internet space.
Open-source AI tools democratize access to models and data, fostering diverse applications and faster development.
The transparency of open source allows for independent scrutiny of AI systems, aiding in identifying and rectifying issues.
Recent incidents like the LAION 5B dataset fiasco highlight the importance of open-source transparency in AI.
While weight models offer some transparency in AI, true openness requires sharing all components of the system.
There's a need for more transparency in AI to build trust and ensure ethical innovation in technologies like self-driving cars and medical AI systems.
Open-source AI provides a framework for collaboration and innovation but faces challenges due to the lack of transparency in the industry.
Leadership and cooperation from tech companies are essential to bridge the information gap and enhance public trust in AI.
Embracing openness and transparency in developing AI can lead to a future where benefits are widespread rather than limited to a few entities.

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Mclaughlinsoftware

410

Hidden thought SQL question

If you create table A and insert a row of data and subsequently you create table B and insert a row of data before issuing a ROLLBACK; statement, how many rows of data will you find in table A and table B?
Level 1 Understanding: 1 row in table A1 and no row in table B1.
Level 2 Understanding: 1 row in table A2 and 1 row in table B2.
The second CREATE statement issues an implicit COMMIT, whereas the INSERT statement to table B1 is a 2PC and the ROLLBACK statement undoes the first phase of the INSERT statement.

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Analyticsindiamag

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‘Most Data Centres Are Not Ready for Liquid Cooling’, says Oracle Exec on NVIDIA Blackwell

Oracle Cloud Infrastructure (OCI) is introducing NVIDIA’s Blackwell Ultra GPUs to its cloud platform, necessitating new infrastructure solutions like liquid cooling in data centres.
Senior vice president at OCI, Karan Batta, highlighted the challenge of managing heat from the new GPUs due to most data centres not being equipped for liquid cooling.
Cloud providers face decisions on cooling methods and must focus on effective integration within data centre designs.
Differentiation among cloud providers lies in data centre design and operational management of GPU clusters for high uptime and minimal failures.
The Blackwell Ultra GPUs, built on the Blackwell architecture, offer enhanced AI performance and are part of Oracle’s zettascale cloud computing clusters.
Oracle collaborates with Google and Microsoft Azure to establish multi-cloud partnerships by deploying OCI within their data centres.
OCI partners with NVIDIA AI Enterprise to accelerate AI adoption, offering over 160 AI tools and enabling faster deployment and customer support.
The collaboration between Oracle and NVIDIA AI Enterprise aims to support diverse AI use cases and streamline generative AI model deployment.
Oracle’s distributed cloud approach extends to public regions, Government Clouds, sovereign clouds, and specialized cloud services such as OCI Dedicated Region and Roving Edge Devices.
Nomura Research Institute (NRI) in Japan uses Oracle Alloy with NVIDIA Hopper GPUs for customised cloud services and plans to deploy NVIDIA AI Enterprise for AI initiatives.

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Dev

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HTM, CSS Form Connect With MySQL Database

This guide walks you through building a web project that collects data from a form and stores it in a MySQL database.
The process involves creating a clean, responsive registration form using HTML and CSS and connecting it to MySQL using PHP.
You need to set up the XAMPP/WAMP local server, create a MySQL database and a 'users' table, and create the necessary HTML, CSS, and PHP files.
Once you complete the setup and fill out the registration form, the data will be successfully stored in the database.

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Pymnts

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AWS, Salesforce Execs See a ‘Fully AI World’ With ‘Limitless Labor’

Executives from AWS, Salesforce, and Oracle anticipate that AI agents will revolutionize the workforce.
AI agents are expected to handle tasks like customer service, software navigation, decision-making, and automation.
These agents can reason, plan tasks, and carry out functions on behalf of humans and systems.
Examples include automating drug research, accelerating credit risk reporting, and enhancing customer service.
Salesforce's AI platform, Agentforce, has seen significant demand, signaling a shift towards 'limitless labor pools.'
AI agents are utilized internally and externally, interacting with customers, employees, and functioning in the background.
Companies like Wiley Publishing and Pfizer have reported increased customer satisfaction and efficiency due to AI agents.
Oracle embeds AI agents across various departments to automate processes and enhance roles like HR, finance, and supply chain.
Executives believe that AI agents will transform employment by streamlining workflows, reducing training times, and unlocking employees from mundane tasks.
While job displacement may occur, the executives emphasize the creation of new opportunities and redeployment of employees into higher-value roles.

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Sdtimes

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Mar 21, 2025: AI updates from the past week — Anthropic web search, Gemini Canvas, new OpenAI audio models, and more

Anthropic's Claude can now search the web to generate up-to-date and relevant responses, citing web sources for fact-checking.
Google launches Canvas to facilitate collaboration with Gemini, offering an interactive space to create and refine code.
OpenAI introduces new speech-to-text and text-to-speech models for enhanced voice agent capabilities, including improved transcription quality.
Nvidia announces AI advancements at GTC, such as AI-Q Blueprint and Llama Nemotron open reasoning AI models.
IBM Research reveals the Agent Communication Protocol (ACP) for standardized agent communication, enhancing interoperability and development simplicity.
Oracle introduces AI Agent Studio for creating, extending, and managing AI agents within the Oracle Fusion Cloud Applications Suite.
WSO2 updates AI-powered IDP Choreo with customizable CI pipelines, AI-driven cost insights, and other new features.
Stravito enhances its generative AI assistant with Focus Mode for deep analysis, Snapshots for instant report summaries, and support for over 100 languages.
These AI updates represent advancements in various aspects of AI technology, catering to developers and enterprises seeking innovative AI solutions.
The developments aim to streamline processes, enhance collaboration, improve user experience, and enable more efficient use of AI in different applications.

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Cloudblog

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Build GraphRAG applications using Spanner Graph and LangChain

Spanner Graph integrates graph, relational, search, and AI capabilities for scalable data management, with GraphRAG leading in question-answering systems extraction.
LangChain and Spanner Graph are demonstrated to build robust GraphRAG applications for extracting insights in interconnected data.
RAG systems improve performance by querying external data during inference and integrating it for contextually relevant responses.
GraphRAG enhances context retrieval by creating knowledge graphs from varied data sources for detailed responses in gen AI applications.
LangChain simplifies building RAG apps by integrating data sources and models, while Spanner Graph provides scalability and reliability.
Building a retail application using GraphRAG enables a contextualized understanding of data relationships like product specifications and customer preferences.
Steps involve transforming data into a knowledge graph, generating vector embeddings for semantic search, storing the graph in Spanner Graph, and inspecting the graph.
Retrieval of context in GraphRAG applications is demonstrated using SpannerGraphVectorContextRetriever for enhanced answers.
GraphRAG stands out by providing richer, more informative answers compared to conventional RAG, as showcased with a beginner drone recommendation scenario.
Combining Spanner Graph and LangChain accelerates GraphRAG development for intelligent applications with reliable data insights.
To get started, the GitHub repository, reference notebook tutorial, and setup guide for Spanner Graph capabilities are recommended resources.

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Analyticsindiamag

330

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Oracle Launches AI Agent Studio for Enterprise Applications

Oracle introduces AI Agent Studio, a platform for creating and managing AI agents and agent teams.
The platform is designed for Oracle Fusion Cloud Applications customers and partners.
Oracle AI Agent Studio provides tools for developing tailored AI agents that integrate with Oracle Fusion Applications and support third-party systems.
The studio includes features such as agent template libraries, agent team orchestration, and agent extensibility.

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Cloudblog

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Vector similarity search for Cloud SQL for MySQL is now GA

Cloud SQL for MySQL now supports vector storage and similarity search
MySQL databases can integrate generative AI capabilities without a specialized vector database
Adding a new column to the existing table and loading vector embeddings enables k-nearest neighbors (kNN) and approximate nearest neighbors (ANN) searches
Companies like Manhattan Associates are using similarity search in MySQL to improve search results in their applications

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Hackernoon

293

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The Future of Database Administration Is Evolution, Not Extinction

Database administration is evolving rapidly as AI technologies mature, reshaping how DBAs approach their work.
AI-driven automation and intelligent analytics are enhancing efficiency but also introducing new challenges for DBAs.
AI can automate routine maintenance tasks like backups and patching, freeing up DBAs for more strategic work.
AI-powered performance tuning can analyze query access plans and provide tuning advice based on execution metrics, improving efficiency.
Predictive analytics and AI can help DBAs detect and resolve potential issues before they impact operations, reducing downtime.
AI's security monitoring capabilities can analyze access patterns and raise alerts for potential security breaches, improving coverage.
Human DBAs excel in complex contextual problem-solving, navigating organizational politics, ethical decision-making, and interpreting ambiguous requirements.
AI limitations include missing contextual understanding, offering cookie-cutter solutions, and not fully considering business context.
The future of database administration involves collaboration between AI systems and human DBAs, combining automation with human expertise.
Forward-thinking DBAs embrace AI as an assistant, focusing on strategic work and leveraging data as a business asset rather than routine tasks.

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Dbi-Services

213

PostgreSQL 18: Add “–missing-stats-only” to vacuumdb

PostgreSQL 18 introduces a new switch for vacuumdb, '--missing-stats-only'.
This switch allows vacuumdb to only collect statistics on objects that do not have any.
Previously, losing all object statistics after a major version upgrade was a pain point in PostgreSQL.
With this new switch, it becomes easier to collect fresh statistics without analyzing all objects.

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VoIP

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Oracle’s $5B Boost to UK AI and Cloud Infrastructure

Oracle announces a $5 billion investment in its cloud computing and AI infrastructure in the UK over the next five years.
The UK government aims to position the country as an AI superpower, with strategic investments from various companies, including Oracle.
Oracle's investment aligns with the UK's national AI strategy and will cater to both public and private sectors in industries such as healthcare, financial services, and retail.
The move enhances Oracle's UK cloud infrastructure and supports the country's vision of using AI to drive national development.

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Medium

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Efficient Rails Queries: Filtering Records by Date

Efficient Rails Queries: Filtering Records by Date
Inefficient ActiveRecord queries can lead to N+1 query problems
Using raw SQL queries offers greater control and optimization opportunities
Optimizing database queries improves speed and scalability of Rails applications

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Siliconangle

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SoftBank agrees to buy Arm chipmaker Ampere Computing for $6.5B

SoftBank confirms acquisition of chipmaker Ampere Computing for $6.5 billion.
Ampere Computing will operate as an independent subsidiary of SoftBank and will be based in California.
Ampere's specialized Arm-based processors offer high-performance computing with lower energy consumption.
SoftBank aims to deepen its commitment to AI innovation with Ampere's expertise in semiconductors.

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