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Ensuring Cyber Resilience: The Imperative of Automating the APT Discovery Process

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Automated AI solutions have been around for over a decade in the cybersecurity space. But their...
Automated AI solutions have been around for over a decade in the cybersecurity space. But their use has been confined to very surface-level areas. With the recent advancements in generative AI, the technology has proven to have a higher ceiling for application. Organizations that automate cyber defense mechanisms will experience a 66% reduction in security breaches by 2026.

ai-applications ai-in-cybersecurity cyber-resilience cybersecurity-budgeting saas-for-threat-detection
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100 Days of AI, Day 18: Developing a RAG using Microsoft Semantic Kernel

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In this post we look at creating a RAG using Microsoft's Semantic Kernel.

100-days-of-ai ai-applications generative-ai microsoft-semantic-kernel openai
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Can AI Help Us Drive Better?

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In 2020, the division of drivers involved in all road traffic accidents was 59% male and...
In 2020, the division of drivers involved in all road traffic accidents was 59% male and 41% female. In 2020, men were involved in 75% of fatal crashes, highlighting a significant gender disparity in driving safety. Despite these figures, 2021 saw a slight majority of female licensed drivers in the U.S., with 117.6 million female licensees.

ai-applications ai-for-road-safety ai-in-driving ai-technology autonomous-driving
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Boost Your Productivity Ten-Fold With These 17 AI Tools

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In this article, I have compiled some of the most useful developer tools, that will help...
In this article, I have compiled some of the most useful developer tools, that will help you to speed up your daily workflow and improve your productivity.

ai-applications artificial-intelligence coding programming web-design
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Technological Trends Reshaping the Restaurant Industry in 2024

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The restaurant industry has witnessed an extraordinary shift towards digitalization. In this article, I'd shared the...
The restaurant industry has witnessed an extraordinary shift towards digitalization. In this article, I'd shared the most promising technological trends set to revolutionize global and the Middle Eastern restaurant market. Generative artificial intelligence is undoubtedly the technology of the year, expected to reshape numerous industries worldwide, including the food tech sector.

ai-applications ai-forecasting ai-technology digitalization food-tech
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6 Game-Changing Ways AI Can Boost Your Influencer Marketing

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ai-applications artificial-intelligence digital-marketing generative-ai influencer-marketing
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Mastering ChatGPT in 2024: A 2-Step Guide with Prompt Examples

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Discover all about ChatGPT and how to utilize it efficiently with this concise guide. From understanding...
Discover all about ChatGPT and how to utilize it efficiently with this concise guide. From understanding what ChatGPT is to crafting effective prompts, learn how to interact with this AI assistant effectively and get the best results in minutes!

ai-applications chatgpt chatgpt-for-beginners how-to-use-ai-chatbots openai
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Reliability in Copilot Research: Measures for Consistent and Reproducible Results

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This section addresses threats to the validity of a study on Copilot usage. It discusses strategies...
This section addresses threats to the validity of a study on Copilot usage. It discusses strategies to enhance construct validity, maximize external validity through data source selection, and ensure reliability by minimizing uncertainties in the research methodology.

ai-applications ai-code ai-code-generation can-ai-code github-copilot
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Ensuring Quality and Compliance: Addressing Challenges with Copilot Usage

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Discover ways to enhance your coding experience with Copilot by simplifying IDE compatibility, customizing behavior, managing...
Discover ways to enhance your coding experience with Copilot by simplifying IDE compatibility, customizing behavior, managing generated content, and ensuring code quality and compliance. TLDR (Summary): This excerpt discusses the need for enhancing Copilot's compatibility across IDEs, simplifying its configuration, providing customization options for users, controlling content generation, and improving the quality of code suggestions. It also highlights the importance of code explanations and...

ai-applications ai-code ai-code-generation can-ai-code github-copilot
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Study Reveals Common Issues Faced by GitHub Copilot Users

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A study investigated user challenges with GitHub Copilot, revealing common issues such as usage obstacles, compatibility...
A study investigated user challenges with GitHub Copilot, revealing common issues such as usage obstacles, compatibility concerns, and code suggestion quality. Causes range from internal system issues to network connectivity problems, while solutions include bug fixes, configuration adjustments, and version updates. Overall, the findings shed light on improving the user experience of GitHub Copilot.

ai-applications ai-code ai-code-generation can-ai-code github-copilot
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GitHub Copilot in Practice: Empirical Insights into User Experiences and Practical Challenges

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An empirical study conducted by software developers investigates the issues, causes, and solutions encountered during real-world...
An empirical study conducted by software developers investigates the issues, causes, and solutions encountered during real-world usage of GitHub Copilot. By systematically analyzing data from GitHub Issues, GitHub Discussions, and Stack Overflow posts, this study provides valuable insights into the challenges faced by developers and offers potential solutions to enhance the usability of Copilot.

ai-applications ai-code ai-code-generation can-ai-code github-copilot
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On the Concerns of Developers When Using GitHub Copilot

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An empirical study conducted by software developers sheds light on the practical challenges of using GitHub...
An empirical study conducted by software developers sheds light on the practical challenges of using GitHub Copilot. Through analysis of issues, causes, and solutions encountered during real-world usage, this study provides valuable insights into the effectiveness and limitations of the AI code generation tool.

ai-applications ai-code ai-code-generation can-ai-code github-copilot
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US Intelligence Eyes AI and Video Data for Tracking Individuals and Vehicles

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IARPA is putting together a research program for the US spy community to autonomously identify, track,...
IARPA is putting together a research program for the US spy community to autonomously identify, track, and trace people and their vehicles over long distances and periods of time. The official reasons given for developing this program have to do with responding to “tragic incidents***” that require “forensic analyses” IARPA program director Dr. Reuven Meth also mentioned in the video below that **Video LINCS** would...

ai-and-computer-vision ai-applications ai-ethics-dilemma autonomous-surveillance computer-vision
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🚀🤖✨leveraging Next-Gen RAG Digital Assistants for Enterprise Success

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Next-generation digital assistants powered by Retrieval-Augmented Generation (RAG) revolutionize enterprise operations by intelligently harnessing data. Learn...
Next-generation digital assistants powered by Retrieval-Augmented Generation (RAG) revolutionize enterprise operations by intelligently harnessing data. Learn how to build your own RAG-powered AI assistant, optimize data, and evaluate success metrics for enhanced customer engagement and strategic decision-making.

ai-applications ai-integration business-strategy data-optimization enterprise-ai
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Extracting user needs with Chat-GPT for dialogue recommendation: Conclusion & References

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Explore the conclusion of the study verifying Chat-GPT's efficacy in managing dynamic dialogues for user needs...
Explore the conclusion of the study verifying Chat-GPT's efficacy in managing dynamic dialogues for user needs extraction. Understand how the system dynamically controls dialogues, inferring user preferences effectively, and its potential future applications.

ai-applications chatgpt-applications dialog-management dialog-systems dynamic-dialog
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Qualitative Evaluation: Understanding User Needs through Dynamic Dialogue

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Discover how a dynamic dialogue system is experimented with for condominium property recommendations, including qualitative evaluation,...
Discover how a dynamic dialogue system is experimented with for condominium property recommendations, including qualitative evaluation, user simulator assessments, and interactive control by the controller to improve dialogue flow and user satisfaction.

ai-applications dialog-management dialog-systems dynamic-dialog g-eval
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Method for Extracting User Needs With Chat-GPT for Dialogue Recommendation

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Learn about a dynamic dialogue framework comprising a controller, assistant, and user simulator modules. Explore their...
Learn about a dynamic dialogue framework comprising a controller, assistant, and user simulator modules. Explore their roles in facilitating engaging and personalized user interactions, enabling dynamic dialogue scenarios.

ai-applications dialog-framework dialog-recommendation dialog-systems dynamic-dialog
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Task-Oriented Dialogue Systems Beyond Large Language Models

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Discover the latest innovations in task-oriented dialogue systems, from Multi-Action Data Augmentation (MADA) to DiagGPT. These...
Discover the latest innovations in task-oriented dialogue systems, from Multi-Action Data Augmentation (MADA) to DiagGPT. These approaches aim to improve user engagement and task completion in diverse contexts, including medical and legal consultations.

ai-applications diaggpt dialog-management dialog-recommendation dialog-systems
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Extracting User Needs With Chat-GPT for Dialogue Recommendation

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Discover how ChatGPT is transforming interactive recommendation systems by seamlessly combining dialogue management and recommendation capabilities....
Discover how ChatGPT is transforming interactive recommendation systems by seamlessly combining dialogue management and recommendation capabilities. This innovative approach improves user engagement and recommendation accuracy, showcasing ChatGPT's versatile role in AI applications.

ai-applications dialog-systems dialogue-recommendation large-language-models llm-research
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Will AI-Driven Sentiment Analysis Be the Next Online Trading Tool for Risk-averse Investors?

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Explore whether an AI-powered sentiment analysis could drive smarter and safer decisions in trading.

ai-applications ai-sentiment-analysis artificial-intelligence future-of-ai sentiment-analysis
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The Future of Customer Experience: AI and Automation

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Artificial intelligence (AI) and automation are transforming customer experience (CX) and opening up unprecedented opportunities to...
Artificial intelligence (AI) and automation are transforming customer experience (CX) and opening up unprecedented opportunities to engage and support customers in new and efficient ways. At the core of AI-enabled CX is the capacity for unprecedented individualization, driven by the ability of AI to gleam insights from even the largest of datasets.

ai-applications ai-automation ai-customer-trust ai-driven-personalization ai-in-customer-experience
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How Large Language Models Enhance Cybersecurity: From Threat Detection to Compliance Analysis

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Discover the significant impact of Large Language Models (LLMs) oncybersecurity efforts. From detecting PII/PHI data and...
Discover the significant impact of Large Language Models (LLMs) oncybersecurity efforts. From detecting PII/PHI data and malicious code to continuous monitoring and legal compliance analysis, LLMs play a crucial role in fortifying cybersecurity measures. Explore the versatile applications and advantages of integrating LLMs into the digital security landscape.

ai-applications ai-in-cybersecurity large-language-models llm-applications llms
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Machine Learning: Your Ultimate Feature Selection Guide Part 2 - Select the Real Best

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Part 2 of our feature selection series discusses the intricacies of wrapper and embedded methods, their...
Part 2 of our feature selection series discusses the intricacies of wrapper and embedded methods, their computational aspects, and practical applications. Stay tuned for Part 3 on AutoML solutions.

ai-applications artificial-intelligence machine-learning machine-learning-ai machine-learning-uses
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Machine Learning: Your Ultimate Feature Selection Guide Part 1 - Filter the Most

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This article introduces the concept of feature selection in machine learning, emphasizing the use of filter...
This article introduces the concept of feature selection in machine learning, emphasizing the use of filter methods to efficiently reduce feature sets in a cost-effective manner, thus enhancing model performance and interpretability. Upcoming articles will delve deeper into various feature selection techniques, providing practical insights and applications.

ai-applications ai-guide artificial-intelligence machine-learning machine-learning-ai
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