createLiveAI LogocreateLiveAI
Page 38 of 130 • 1560 Total Articles

createLiveAI

Continue exploring the latest AI breakthroughs, technology insights, and industry analysis. Page 38 of our comprehensive AI news collection.

All Articles 1560 Business 249 Ethics 150 General 142 Policy 12 Research 793 Startups 13 Technology 201

📰 Latest Intelligence

Showing 12 articles on page 38 of 130

Live feed
The Algorithmic Bridge
Research
The Ghost of the Author - AI news coverage from The Algorithmic Bridge in Research
Research
📄 The Algorithmic Bridge

The Ghost of the Author

Recent advancements in AI have led to the development of sophisticated virtual ghost simulations that leverage deep learning and computer vision to create highly realistic and immersive haunted house experiences. These systems analyze user reactions in real-time, adapting the narrative and visual effects to enhance emotional engagement and fear responses, thereby pushing the boundaries of interactive entertainment and psychological experimentation. This innovation not only enhances entertainment applications but also offers new avenues for psychological research, therapy, and training by providing controlled environments to study fear and anxiety responses. The integration of AI-driven realism in virtual hauntings signifies a significant step forward in immersive technology, blending cultural storytelling with cutting

Deep Learning Computer Vision
Read More
MarkTechPost
General
How to Build a Fully Functional Custom GPT-style Conversational AI Locally Using Hugging Face Transformers - AI news coverage from MarkTechPost in General
General
📄 MarkTechPost

How to Build a Fully Functional Custom GPT-style Conversational AI Locally Using Hugging Face Transformers

A recent tutorial demonstrates how to build a fully functional, custom GPT-style conversational AI locally using Hugging Face transformers, specifically leveraging a lightweight instruction-tuned model like Microsofts Phi-3-mini-4k-instruct. The process involves loading the model, wrapping it within a structured chat framework that manages system roles, user memory, and assistant responses, and defining how the agent interprets context and constructs messages, including optional integration of small built-in tools for local data retrieval or simulated searches. This development highlights the feasibility of creating personalized, domain-specific conversational agents without relying on large cloud-based models, emphasizing

GPT Microsoft
Read More
Towards Data Science
Research
Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

Deploy Your AI Assistant to Monitor and Debug n8n Workflows Using Claude and MCP

Claude AI introduces a novel capability to monitor, analyze, and troubleshoot n8n automation workflows via natural language interaction, enhancing user accessibility and efficiency in managing complex automation processes. By integrating Claude with the n8n platform and leveraging the MCP (Monitoring and Control Platform), users can perform real-time diagnostics and receive actionable insights through conversational commands, streamlining workflow management and reducing the need for technical expertise.

Claude NLP
Read More
Towards Data Science
Research
The Ultimate Guide to Power BI Aggregations - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

The Ultimate Guide to Power BI Aggregations

Power BI's aggregation feature is highlighted as a critical tool for enhancing report performance by efficiently summarizing large datasets. The article provides a comprehensive guide on leveraging aggregations to optimize data models, reduce query times, and improve overall responsiveness in Power BI solutions.

Read More
Towards Data Science
Research
How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

How to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k

The article discusses the final installment in a series on assessing retrieval quality in Retrieval-Augmented Generation (RAG) pipelines, focusing on graded evaluation metrics such as Discounted Cumulative Gain (DCG@k) and Normalized Discounted Cumulative Gain (NDCG@k). These metrics enable more nuanced measurement of retrieval effectiveness by accounting for the relevance ranking of retrieved documents, thereby improving the evaluation of RAG systems' performance in delivering pertinent information.

Read More
MIT Tech Review AI
Research
Improving VMware migration workflows with agentic AI - AI news coverage from MIT Tech Review AI in Research
Research
🎓 MIT Tech Review AI

Improving VMware migration workflows with agentic AI

Recent shifts in VMware licensing policies and the rapid adoption of cloud-native techniques are significantly altering enterprise strategies for cloud migration, especially from VMware environments. As organizations face increased uncertainty about VMwares platform stability and future, many are increasingly leveraging cloud-native architecturesalready adopted by 89% of companies according to the CNCFs 2024 surveyto facilitate more flexible and scalable deployment models. This transition is driven by the need to reduce reliance on costly on-premises infrastructure while accelerating innovation, particularly in the realm of generative AI, where IDC reports that cloud providers have become key strategic partners. The convergence of

Academic
Read More
AI News
Ethics
Google reveals its own version of Apples AI cloud - AI news coverage from AI News in Ethics
Ethics
📄 AI News

Google reveals its own version of Apples AI cloud

Google has introduced Private AI Compute, a cloud-based processing platform that integrates advanced Gemini models with robust privacy safeguards to deliver faster, more capable AI experiences without compromising data security. This innovation aims to replicate the privacy benefits of on-device AI within the cloud environment, addressing the growing need for powerful AI systems that can handle complex, personalized tasks while safeguarding sensitive user information. By enabling Gemini models to process data securely in the cloud, Private AI Compute bridges the gap between the computational demands of sophisticated AI and the increasing importance of data privacy. This development reflects a broader industry trend, paralleling Apple's Private Cloud Compute,

Google AI
Read More
The Hacker News
Ethics
Google Launches 'Private AI Compute' Secure AI Processing with On-Device-Level Privacy - AI news coverage from The Hacker News in Ethics
Ethics
📄 The Hacker News

Google Launches 'Private AI Compute' Secure AI Processing with On-Device-Level Privacy

Google has introduced Private AI Compute, a novel privacy-enhancing technology designed to securely process AI queries within the cloud environment. This innovation aims to leverage the capabilities of its Gemini cloud models, enabling high-performance AI experiences while ensuring that user data remains private and inaccessible to third parties, including Google itself.

Google AI
Read More
VentureBeat AI
Research
OpenAI reboots ChatGPT experience with GPT-5.1 after mixed reviews of GPT-5 - AI news coverage from VentureBeat AI in Research
Research
📈 VentureBeat AI

OpenAI reboots ChatGPT experience with GPT-5.1 after mixed reviews of GPT-5

OpenAI has introduced GPT-5.1, an upgrade to its GPT-5 series, with two new models: GPT-5.1 Instant and GPT-5.1 Thinking, now accessible on ChatGPT. GPT-5.1 Instant enhances responsiveness, intelligence, and instruction-following, offering a more natural and conversational tone, while GPT-5.1 Thinking provides faster responses for simple tasks and more persistent reasoning for complex ones, improving overall user interaction and communication style. These models are available across ChatGPT's subscription tiers, including Pro, Plus, and Enterprise, with early access for

GPT Robotics
Read More
MarkTechPost
General
How to Reduce Cost and Latency of Your RAG Application Using Semantic LLM Caching - AI news coverage from MarkTechPost in General
General
📄 MarkTechPost

How to Reduce Cost and Latency of Your RAG Application Using Semantic LLM Caching

Semantic caching in Large Language Model (LLM) applications enhances efficiency by leveraging embeddings and similarity search to reuse responses based on semantic content rather than exact text matches. When a user submits a query, it is transformed into a vector embedding, which is then compared against cached embeddings using Approximate Nearest Neighbor (ANN) algorithms; if a close match exceeds a predefined similarity threshold, the cached response is returned instantly, bypassing the resource-intensive generation process. This approach significantly reduces both latency and API costs, especially for repeated or paraphrased questions, by storing only relevant query-response pairs in the cache within

Read More
VentureBeat AI
Research
Only 9% of developers think AI code can be used without human oversight, BairesDev survey reveals - AI news coverage from VentureBeat AI in Research
Research
📈 VentureBeat AI

Only 9% of developers think AI code can be used without human oversight, BairesDev survey reveals

The latest Dev Barometer report reveals that a significant transformation is underway in software development, with 65% of senior developers expecting their roles to be fundamentally redefined by AI by 2026. This shift emphasizes a move away from routine coding tasks toward higher-level responsibilities such as system design, architecture, and strategic planning, driven by AI tools that automate code scaffolding and generate unit tests, thereby freeing up developers' time for more complex work. This evolution signifies a transition from traditional coding to a focus on quality, solution architecture, and strategic thinking, as AI increasingly handles repetitive tasks. Companies like B

GPT Claude +3
Read More
Towards Data Science
Research
Do You Really Need GraphRAG? A Practitioners Guide Beyond the Hype - AI news coverage from Towards Data Science in Research
Research
📄 Towards Data Science

Do You Really Need GraphRAG? A Practitioners Guide Beyond the Hype

The article provides an in-depth analysis of Graph Retrieval-Augmented Generation (GraphRAG), emphasizing best practices, common challenges, and practical insights for effective implementation. It highlights how integrating graph-based retrieval methods with large language models can enhance reasoning and factual accuracy, but also underscores the importance of careful design choices to address issues like scalability and data quality.

Read More
Previous Page
1 2 3 4 5 6 7 ... 130
Next Page

Page 38 of 130 • Showing articles 445-456 of 1560

Quick Navigation

Jump to any page or browse by category

Latest (Page 1) Business 249 Ethics 150 General 142 Policy 12 Research 793 Startups 13