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12 8月 , 2024
Azure AIとGitHubの統合でAIアプリ開発を強化

"Azure AIとGitHubの統合でAIアプリ開発を加速、ワークフローを効率化し、コラボレーションを強化。AIを搭載したツールとスケーラブルなインフラを活用し、革新的なソリューションを構築。"

12 8月 , 2024
マイクロソフト、グーグル、アマゾンを狙うテザー社の金融力

"大手ステーブルコイン発行会社であるテザー社は、その金融力を活用して、ハイテク大手のマイクロソフト、グーグル、アマゾンを標的にし、デジタル決済の状況を破壊する可能性があります。"

12 8月 , 2024
Zoom Is Going After Google and Microsoft With AI-Driven Docs

“Zoom’s AI-powered document editing tool takes on Google Docs and Microsoft Office, offering real-time collaboration and automated formatting.”

12 8月 , 2024
AI Is Heating the Olympic Pool

“AI-powered pool heaters revolutionize the Olympic experience, providing precise temperature control and energy efficiency for athletes and spectators alike.”

12 8月 , 2024
Palmer Luckey’s Defense Startup, Anduril, Raises $1.5 Billion to Produce AI-Powered Weapons

Palmer Luckey’s Anduril raises $1.5B to develop AI-powered weapons, expanding its portfolio of autonomous defense systems.

12 8月 , 2024
Enhancing Oracle E-Business Suite Security on OCI Using Fortinet Zero-Trust Network Access

Table of Contents Introduction Implementing Fortinet Zero-Trust Network Access for Secure Oracle E-Business Suite Migration to OCI Best Practices for Integrating Fortinet Zero-Trust Network Access with Oracle E-Business Suite on OCI Monitoring and Managing Security Threats in Oracle E-Business Suite on OCI Using Fortinet Zero-Trust Network Access Conclusion “Secure Your Oracle E-Business Suite on OCI: Fortinet Zero-Trust Network Access for Uncompromised Protection.” Introduction Enhancing Oracle E-Business Suite Security on Oracle Cloud Infrastructure (OCI) using Fortinet Zero-Trust Network Access (ZTNA) involves implementing a security framework that does not automatically trust any entity inside or outside the network perimeter. Instead, it requires verification and validation of all devices and users before granting […]

12 8月 , 2024
Running Data Load Jobs in Data Studio Using Data Transforms

Table of Contents Introduction Best Practices for Optimizing Data Load Jobs in Data Studio Step-by-Step Guide to Creating Data Transforms in Data Studio Troubleshooting Common Issues with Running Data Load Jobs in Data Studio Conclusion “Transform Your Data, Elevate Your Insights: Master Data Load Jobs in Data Studio.” Introduction Running data load jobs in Data Studio using data transforms is a crucial process for managing and manipulating large datasets effectively. Data Studio, a robust data integration tool, allows users to streamline the process of data extraction, transformation, and loading (ETL). By utilizing data transforms, users can perform complex data manipulations, ensuring that the data loaded into the system is clean, […]

12 8月 , 2024
Publishers Challenge Common Crawl Over Use of AI Training Data

Table of Contents Introduction Legal Implications of Common Crawl Data Usage by AI Developers Ethical Considerations in AI Training: Publishers vs. Common Crawl Future of AI Development: Navigating Data Rights and Publisher Concerns Conclusion “Publishers Unite: Challenging Common Crawl in the Battle for AI Data Rights” Introduction In recent years, the rise of artificial intelligence (AI) has led to significant advancements in technology, with AI models being trained on vast amounts of data to improve their accuracy and functionality. Common Crawl, a nonprofit organization, has been at the forefront of providing a large corpus of web-crawled data that is widely used for training AI systems. However, this practice has sparked […]

12 8月 , 2024
AIとの戦い:コアデータセットをめぐる争い

Table of Contents Introduction Ethical Implications of Data Control in AI Development Legal Challenges in the Ownership and Sharing of AI Data Sets Strategies for Ensuring Transparency and Fairness in AI Data Access Conclusion “Unlocking the Future: The Power Struggle for AI’s Core Data Sets” Introduction “Battling AI: The Struggle Over Core Data Sets” explores the intense competition and ethical dilemmas surrounding the acquisition and use of large-scale data sets essential for training artificial intelligence systems. As AI technologies become increasingly integral to economic, social, and political spheres, the control and ownership of foundational data sets have emerged as a critical battleground. This book delves into the implications of data […]

12 8月 , 2024
Apple Demonstrates AI as a Feature, Not Just a Product

Table of Contents Introduction Exploring Apple’s Integration of AI Across Its Ecosystem: From Siri to Accessibility Enhancements How Apple’s AI Features Enhance User Experience in Real-World Scenarios The Future of AI in Apple Devices: Predictions and Potential Developments Conclusion “Apple AI: Enhancing Every Experience, Beyond Just Products.” Introduction Apple has strategically positioned artificial intelligence (AI) as an integral feature across its product lineup, rather than merely offering it as a standalone product. This approach underscores the company’s commitment to integrating AI into the user experience, enhancing functionality and interactivity in devices such as iPhones, iPads, and Macs. By embedding AI capabilities like Siri, facial recognition, and personalized recommendations, Apple aims […]

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