At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence.
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
In this video, I'm sharing with you the 5 best AI tools segments in 2023. These tools will help you automate your work, increase efficiency, and boost your productivity.
As the world increasingly becomes automated, it's important to have the best AI tools at your disposal. In this video, I'm sharing with you the 10 best AI tools that will help you in your everyday work life. From to-do lists to scheduling tools, these tools will help you take your productivity to the next level!
In this video, we’ll explore how Artificial Intelligence is helping us to make our lives easier in a variety of ways. AI has become an integral part of our lives, and with the advancements in technology, it has grown tremendously in recent years. We’ve handpicked some of the best AI tools that are worth exploring in 2023.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
A 2017 study from Pew Research found that more than 70% of the U.S. is scared that robots are going to take over our lives. And, while we can’t perfectly predict the emergence of a Skynet singularity, we can say with some certainty that technology is set to take over the repetitive, dehumanizing elements of our jobs instead of putting us out of work. Artificial intelligence (AI) is a strategic priority for 84% of businesses, and in some cases has been used to improve sales team efficiency by over 50%. Even I’ve used AI in the past to generate hundreds of relevant hashtags for social media posts at the click of a button. It was once the stuff of utopian science fiction and huge enterprises, but now practically anyone can take advantage. For this post, we will dive into 20 different applications of AI in the real world.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
The fear of robots taking over our lives has been a prevalent concern, with over 70% of the U.S. population expressing apprehension, as highlighted by a 2017 Pew Research study. However, while the emergence of a Skynet-like scenario remains uncertain, it's evident that technology, particularly artificial intelligence (AI), is poised to revolutionize various aspects of our daily tasks, freeing us from repetitive and dehumanizing job elements rather than rendering us obsolete. With AI being a strategic priority for 84% of businesses, its implementation has shown remarkable efficiency enhancements, such as boosting sales team productivity by over 50%. The accessibility of AI tools has expanded significantly, enabling practically anyone to leverage its benefits. In this discourse, we'll explore 20 diverse real-world applications of AI, ranging from healthcare and finance to entertainment and government, illustrating its pervasive impact on modern society.
Discover thought-provoking insights, potential solutions, and the path towards a more fair and responsible AI future.
Komninos Chatzipapas, the Founder of Orion AI Software, leads a software development agency specialized in creating bespoke AI software for established businesses to increase revenues and decrease expenses.
AI & DEI: With Great Opportunities Comes Great HR ResponsibilityAggregage
https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
New Exciting Suite Of AI Tools
Get ready to be amazed by the new suite of AI tools that is set to revolutionize the way we work and interact with technology. With its advanced persona creation capabilities and cutting-edge plagiarism detection technology, this suite promises to take productivity and efficiency to new heights. Flex-AI- tools are designed to enhance accuracy in various industries. Whether you're a professional in healthcare, finance, or any other field, these tools have the potential to streamline your work processes and save you valuable time. Get ready to explore the incredible possibilities that this new suite of AI tools offers and prepare to be blown away by the power of artificial intelligence. Flex-AI-Tools.com will offer:
1) Advanced Plagiarism Detection Capabilities
Plagiarism is a serious offense that can have detrimental consequences for students, academics, and professionals alike. It not only compromises academic integrity but also exposes individuals to potential legal repercussions. To combat this issue, the use of plagiarism checking tools has become increasingly important. These tools play a vital role in ensuring the originality of work by detecting any instances of copied content. By doing so, they not only protect individuals from unintentional plagiarism but also enhance the overall quality of their work. Moreover, these tools streamline
the writing and research process, providing users with valuable feedback and suggestions for improvement.
2) Cutting-Edge Persona Creation Technology
An AI persona builder allows organizations to create a relatable and consistent persona for their AI systems. By tailoring responses based on user preferences, businesses can provide a more personalized and tailored experience for their customers. This not only makes interactions more enjoyable but also helps build trust and loyalty.
Incorporating an AI persona builder brings numerous benefits to businesses. It enables them to better understand their customers, anticipate their needs, and provide relevant and timely information. Furthermore, it allows for more efficient customer service, as AI systems can handle a larger volume of inquiries while maintaining a high level of accuracy.
3) The Value Of An AI Content Detector
In today's digital age, the exponential growth of online content has raised concerns about the safety and security of users. False information, hate speech, and explicit material can easily find their way into online platforms, posing significant risks to individuals and communities. To address these challenges, the value of an AI content detector cannot be overlooked. By leveraging advanced algorithms and machine learning, AI content detectors play a crucial role in enhancing user safety and security. They streamline content moderation processes, identifying and removing harmful or inappropriate content in real-time.
Join the pre-launch at http://Flex-AI-Tools.com
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
In this video, I'm sharing with you the 5 best AI tools segments in 2023. These tools will help you automate your work, increase efficiency, and boost your productivity.
As the world increasingly becomes automated, it's important to have the best AI tools at your disposal. In this video, I'm sharing with you the 10 best AI tools that will help you in your everyday work life. From to-do lists to scheduling tools, these tools will help you take your productivity to the next level!
In this video, we’ll explore how Artificial Intelligence is helping us to make our lives easier in a variety of ways. AI has become an integral part of our lives, and with the advancements in technology, it has grown tremendously in recent years. We’ve handpicked some of the best AI tools that are worth exploring in 2023.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
A 2017 study from Pew Research found that more than 70% of the U.S. is scared that robots are going to take over our lives. And, while we can’t perfectly predict the emergence of a Skynet singularity, we can say with some certainty that technology is set to take over the repetitive, dehumanizing elements of our jobs instead of putting us out of work. Artificial intelligence (AI) is a strategic priority for 84% of businesses, and in some cases has been used to improve sales team efficiency by over 50%. Even I’ve used AI in the past to generate hundreds of relevant hashtags for social media posts at the click of a button. It was once the stuff of utopian science fiction and huge enterprises, but now practically anyone can take advantage. For this post, we will dive into 20 different applications of AI in the real world.
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
The fear of robots taking over our lives has been a prevalent concern, with over 70% of the U.S. population expressing apprehension, as highlighted by a 2017 Pew Research study. However, while the emergence of a Skynet-like scenario remains uncertain, it's evident that technology, particularly artificial intelligence (AI), is poised to revolutionize various aspects of our daily tasks, freeing us from repetitive and dehumanizing job elements rather than rendering us obsolete. With AI being a strategic priority for 84% of businesses, its implementation has shown remarkable efficiency enhancements, such as boosting sales team productivity by over 50%. The accessibility of AI tools has expanded significantly, enabling practically anyone to leverage its benefits. In this discourse, we'll explore 20 diverse real-world applications of AI, ranging from healthcare and finance to entertainment and government, illustrating its pervasive impact on modern society.
Discover thought-provoking insights, potential solutions, and the path towards a more fair and responsible AI future.
Komninos Chatzipapas, the Founder of Orion AI Software, leads a software development agency specialized in creating bespoke AI software for established businesses to increase revenues and decrease expenses.
AI & DEI: With Great Opportunities Comes Great HR ResponsibilityAggregage
https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
New Exciting Suite Of AI Tools
Get ready to be amazed by the new suite of AI tools that is set to revolutionize the way we work and interact with technology. With its advanced persona creation capabilities and cutting-edge plagiarism detection technology, this suite promises to take productivity and efficiency to new heights. Flex-AI- tools are designed to enhance accuracy in various industries. Whether you're a professional in healthcare, finance, or any other field, these tools have the potential to streamline your work processes and save you valuable time. Get ready to explore the incredible possibilities that this new suite of AI tools offers and prepare to be blown away by the power of artificial intelligence. Flex-AI-Tools.com will offer:
1) Advanced Plagiarism Detection Capabilities
Plagiarism is a serious offense that can have detrimental consequences for students, academics, and professionals alike. It not only compromises academic integrity but also exposes individuals to potential legal repercussions. To combat this issue, the use of plagiarism checking tools has become increasingly important. These tools play a vital role in ensuring the originality of work by detecting any instances of copied content. By doing so, they not only protect individuals from unintentional plagiarism but also enhance the overall quality of their work. Moreover, these tools streamline
the writing and research process, providing users with valuable feedback and suggestions for improvement.
2) Cutting-Edge Persona Creation Technology
An AI persona builder allows organizations to create a relatable and consistent persona for their AI systems. By tailoring responses based on user preferences, businesses can provide a more personalized and tailored experience for their customers. This not only makes interactions more enjoyable but also helps build trust and loyalty.
Incorporating an AI persona builder brings numerous benefits to businesses. It enables them to better understand their customers, anticipate their needs, and provide relevant and timely information. Furthermore, it allows for more efficient customer service, as AI systems can handle a larger volume of inquiries while maintaining a high level of accuracy.
3) The Value Of An AI Content Detector
In today's digital age, the exponential growth of online content has raised concerns about the safety and security of users. False information, hate speech, and explicit material can easily find their way into online platforms, posing significant risks to individuals and communities. To address these challenges, the value of an AI content detector cannot be overlooked. By leveraging advanced algorithms and machine learning, AI content detectors play a crucial role in enhancing user safety and security. They streamline content moderation processes, identifying and removing harmful or inappropriate content in real-time.
Join the pre-launch at http://Flex-AI-Tools.com
How Can Businesses Adopt AI Technology to Achieve Their GoalsKavika Roy
https://www.datatobiz.com/blog/businesses-adopt-ai-technology/
Artificial intelligence is a dynamic force that keeps the industry moving forward to conquer more technologies. From manufacturing to hospitality to retail and aerospace, AI is being adopted by several organizations across all industries. The global AI market is worth $327.5 billion in 2021.
However, businesses are still in varying stages of adopting AI in their enterprises. While the top companies have added AI technology as an integral part of their systems, SMEs still use AI to develop pilot projects for certain departments like sales, marketing, etc.
One of the most transformative times making waves in Human Resources (HR) is Artificial Intelligence (AI). The integration of AI in HR techniques is revolutionizing conventional practices and bringing about a paradigm shift within the manner know-how is managed and nurtured. In this blog, we will delve into the numerous sides of synthetic intelligence in human belongings, exploring its manifold blessings, from AI-powered recruitment to predictive HR analytics.
In the ever-converting global of Human Resources (HR), the incorporation of Artificial Intelligence (AI) has emerged as a recreation changer, revolutionizing skills control approaches. As groups try to streamline operations, increase productiveness, and make statistics-driven decisions, AI becomes an essential tool, specifically inside the nation-states of ERP (Enterprise Resource Planning) and payroll structures.
A Guide on How AI Contributes to Businesses in Today’s Era to Watch in 2023.Techugo
Artificial Intelligence and Machine Learning have become the main focus of the scene. Artificial intelligence can be used for a wide variety of uses in business, including streamlining processes and aggregating the performance of companies. Researchers are still determining what AI will mean for businesses shortly. AI is predicted to shift technological advancement away from the traditional two-dimensional screen and towards the three-dimensional physical space surrounding the person.
Although the acceptance by society in general for AI does not mean anything new. The idea itself isn’t. Artificial intelligence is a broad field of business application. Indeed, most of us interact with AI in some way or another. Artificial Intelligence is changing all aspects of business across every industry. To know more, visit the post.
What is artificial intelligence Definition, top 10 types and examples.pdfAlok Tripathi
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
leewayhertz.com-AI in the workplace Transforming todays work dynamics.pdfKristiLBurns
AI is transforming workplaces, marking a significant shift towards automation and intelligent decision-making in various industries. In the modern business realm, AI’s role extends from automating mundane tasks to optimizing complex operations, thereby augmenting human capabilities.
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
In today's tech-centric world, choosing the right AI development partner is crucial. Companies like DataRoot Labs, AssemblyAI, and Element AI highlight the enduring importance of AI-industry collaboration, driving innovation in sectors from healthcare to environmental sustainability. AI is no longer optional; it's essential for forward-thinking organizations. In 2023, these companies and trends provide a roadmap for those aiming to lead in the AI frontier.
Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries, augmenting human capabilities, and influencing societal structures.
Read this Article here: https://medium.com/@cienteteam/what-is-ai-alignment-e59da578abf9
Learn more: https://ciente.io/blog/
Explore more: https://ciente.io/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
How Can Businesses Adopt AI Technology to Achieve Their GoalsKavika Roy
https://www.datatobiz.com/blog/businesses-adopt-ai-technology/
Artificial intelligence is a dynamic force that keeps the industry moving forward to conquer more technologies. From manufacturing to hospitality to retail and aerospace, AI is being adopted by several organizations across all industries. The global AI market is worth $327.5 billion in 2021.
However, businesses are still in varying stages of adopting AI in their enterprises. While the top companies have added AI technology as an integral part of their systems, SMEs still use AI to develop pilot projects for certain departments like sales, marketing, etc.
One of the most transformative times making waves in Human Resources (HR) is Artificial Intelligence (AI). The integration of AI in HR techniques is revolutionizing conventional practices and bringing about a paradigm shift within the manner know-how is managed and nurtured. In this blog, we will delve into the numerous sides of synthetic intelligence in human belongings, exploring its manifold blessings, from AI-powered recruitment to predictive HR analytics.
In the ever-converting global of Human Resources (HR), the incorporation of Artificial Intelligence (AI) has emerged as a recreation changer, revolutionizing skills control approaches. As groups try to streamline operations, increase productiveness, and make statistics-driven decisions, AI becomes an essential tool, specifically inside the nation-states of ERP (Enterprise Resource Planning) and payroll structures.
A Guide on How AI Contributes to Businesses in Today’s Era to Watch in 2023.Techugo
Artificial Intelligence and Machine Learning have become the main focus of the scene. Artificial intelligence can be used for a wide variety of uses in business, including streamlining processes and aggregating the performance of companies. Researchers are still determining what AI will mean for businesses shortly. AI is predicted to shift technological advancement away from the traditional two-dimensional screen and towards the three-dimensional physical space surrounding the person.
Although the acceptance by society in general for AI does not mean anything new. The idea itself isn’t. Artificial intelligence is a broad field of business application. Indeed, most of us interact with AI in some way or another. Artificial Intelligence is changing all aspects of business across every industry. To know more, visit the post.
What is artificial intelligence Definition, top 10 types and examples.pdfAlok Tripathi
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
leewayhertz.com-AI in the workplace Transforming todays work dynamics.pdfKristiLBurns
AI is transforming workplaces, marking a significant shift towards automation and intelligent decision-making in various industries. In the modern business realm, AI’s role extends from automating mundane tasks to optimizing complex operations, thereby augmenting human capabilities.
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
Get Artificial Intelligence development servicessnakconsultancy
Get Best Artificial Intelligence development services with expect customer needs more quickly with Machine Learning, NLP Solution, OCR & Chatbot Solution
In today's tech-centric world, choosing the right AI development partner is crucial. Companies like DataRoot Labs, AssemblyAI, and Element AI highlight the enduring importance of AI-industry collaboration, driving innovation in sectors from healthcare to environmental sustainability. AI is no longer optional; it's essential for forward-thinking organizations. In 2023, these companies and trends provide a roadmap for those aiming to lead in the AI frontier.
Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries, augmenting human capabilities, and influencing societal structures.
Read this Article here: https://medium.com/@cienteteam/what-is-ai-alignment-e59da578abf9
Learn more: https://ciente.io/blog/
Explore more: https://ciente.io/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
Why A.I is slowly taking over
1. The Rise of Artificial
Intelligence: Why AI is
Slowly Taking Over
The Rise of Artificial
Intelligence: Why AI is
Slowly Taking Over
Fadeel Jibrin, PhD
Accountant and external auditor
Fiduciary Consulting
Fadeel Jibrin, PhD
Accountant and external auditor
Fiduciary Consulting
2. Artificial Intelligence (AI) refers to the development
of computer systems or machines that can perform
tasks that typically require human intelligence, such
as understanding natural language, learning from
experience, making decisions, and solving complex
problems. AI involves the creation of algorithms and
models that enable machines to simulate cognitive
processes, analyze data, and adapt to new
information, thereby exhibiting intelligent behavior.
Artificial Intelligence (AI) refers to the development
of computer systems or machines that can perform
tasks that typically require human intelligence, such
as understanding natural language, learning from
experience, making decisions, and solving complex
problems. AI involves the creation of algorithms and
models that enable machines to simulate cognitive
processes, analyze data, and adapt to new
information, thereby exhibiting intelligent behavior.
What is A.I?
3. Benefits of using A.I
One significant benefit of using AI is the
ability to automate repetitive tasks, leading to
increased efficiency and productivity. By
delegating mundane and repetitive tasks to
AI systems, businesses can save time and
resources, allowing human workers to focus
on more complex and strategic activities.
Automation through AI reduces the risk of
errors and accelerates the pace of work,
ultimately improving overall efficiency and
enabling organizations to accomplish more
in less time.
1
1.
. One significant benefit of using AI is the
ability to automate repetitive tasks, leading to
increased efficiency and productivity. By
delegating mundane and repetitive tasks to
AI systems, businesses can save time and
resources, allowing human workers to focus
on more complex and strategic activities.
Automation through AI reduces the risk of
errors and accelerates the pace of work,
ultimately improving overall efficiency and
enabling organizations to accomplish more
in less time.
1.
4. Benefits of using A.I
2. Another benefit of using AI is its ability to process
and analyze vast amounts of data quickly and
accurately. AI algorithms can identify patterns, trends,
and correlations in data that may not be easily
discernible to humans. This capability enables
organizations to extract valuable insights, make data-
driven decisions, and gain a competitive edge. By
leveraging AI for data analysis, businesses can
uncover hidden opportunities, optimize processes, and
improve outcomes in areas such as marketing, finance,
healthcare, and customer experience. AI empowers
organizations to harness the power of data and make
more informed and impactful decisions.
2. Another benefit of using AI is its ability to process
and analyze vast amounts of data quickly and
accurately. AI algorithms can identify patterns, trends,
and correlations in data that may not be easily
discernible to humans. This capability enables
organizations to extract valuable insights, make data-
driven decisions, and gain a competitive edge. By
leveraging AI for data analysis, businesses can
uncover hidden opportunities, optimize processes, and
improve outcomes in areas such as marketing, finance,
healthcare, and customer experience. AI empowers
organizations to harness the power of data and make
more informed and impactful decisions.
5. Benefits of using A.I
3. Potential to enhance personalization and customer
experiences. AI algorithms can analyze vast amounts of
data about individuals' preferences, behavior, and
interactions to deliver personalized recommendations,
tailored content, and customized services. This level of
personalization can significantly improve customer
satisfaction, engagement, and loyalty. Whether it's
personalized product recommendations on e-commerce
platforms, curated content suggestions on streaming
services, or customized marketing campaigns, AI enables
businesses to create highly targeted and relevant
experiences that resonate with their customers, fostering
stronger relationships and driving business growth.
3. Potential to enhance personalization and customer
experiences. AI algorithms can analyze vast amounts of
data about individuals' preferences, behavior, and
interactions to deliver personalized recommendations,
tailored content, and customized services. This level of
personalization can significantly improve customer
satisfaction, engagement, and loyalty. Whether it's
personalized product recommendations on e-commerce
platforms, curated content suggestions on streaming
services, or customized marketing campaigns, AI enables
businesses to create highly targeted and relevant
experiences that resonate with their customers, fostering
stronger relationships and driving business growth.
6. Benefits of using A.I
4. Its ability to augment human capabilities and enable
collaboration: AI systems can work alongside humans,
assisting them in various tasks and complementing their
skills. For example, AI-powered chatbots can handle
customer inquiries, freeing up human agents to focus on
more complex customer needs. In fields like healthcare,
AI can support doctors by providing data-driven insights
and assisting in diagnoses. By collaborating with AI,
humans can leverage the computational power and
analytical capabilities of AI systems to enhance their own
performance, leading to improved productivity, accuracy,
and innovation.
4. Its ability to augment human capabilities and enable
collaboration: AI systems can work alongside humans,
assisting them in various tasks and complementing their
skills. For example, AI-powered chatbots can handle
customer inquiries, freeing up human agents to focus on
more complex customer needs. In fields like healthcare,
AI can support doctors by providing data-driven insights
and assisting in diagnoses. By collaborating with AI,
humans can leverage the computational power and
analytical capabilities of AI systems to enhance their own
performance, leading to improved productivity, accuracy,
and innovation.
7. DISADVANTAGES
Job Displacement: AI automation has the
potential to replace human workers in
certain tasks and industries. As AI systems
become more advanced, there is a concern
that job opportunities may diminish, leading
to unemployment or the need for workers to
acquire new skills to remain relevant in the
workforce.
1
1.
. Job Displacement: AI automation has the
potential to replace human workers in
certain tasks and industries. As AI systems
become more advanced, there is a concern
that job opportunities may diminish, leading
to unemployment or the need for workers to
acquire new skills to remain relevant in the
workforce.
1.
8. DISADVANTAGES
2. Ethical Concerns: AI raises ethical
considerations, such as privacy, bias, and
transparency. AI systems rely on vast
amounts of data, which can include sensitive
personal information. Ensuring the privacy
and security of this data is crucial.
Additionally, biases present in the training
data can be reflected in AI systems, leading
to unfair or discriminatory outcomes.
2. Ethical Concerns: AI raises ethical
considerations, such as privacy, bias, and
transparency. AI systems rely on vast
amounts of data, which can include sensitive
personal information. Ensuring the privacy
and security of this data is crucial.
Additionally, biases present in the training
data can be reflected in AI systems, leading
to unfair or discriminatory outcomes.
9. DISADVANTAGES
3. Lack of Human Judgment and Creativity:
While AI excels at processing and analyzing
data, it may lack human judgment, intuition,
and creativity. AI systems typically operate
based on pre-defined algorithms and
patterns, which may limit their ability to handle
complex or novel situations that require
human intuition and creativity.
3. Lack of Human Judgment and Creativity:
While AI excels at processing and analyzing
data, it may lack human judgment, intuition,
and creativity. AI systems typically operate
based on pre-defined algorithms and
patterns, which may limit their ability to handle
complex or novel situations that require
human intuition and creativity.
10. DISADVANTAGES
4. Reliance on Data Quality and Availability: AI
heavily relies on high-quality and diverse
datasets for training and decision-making. If
the data used to train AI systems is biased,
incomplete, or of poor quality, it can lead to
inaccurate or flawed results. Additionally,
access to relevant and comprehensive data
can be a challenge in certain domains or
regions.
4. Reliance on Data Quality and Availability: AI
heavily relies on high-quality and diverse
datasets for training and decision-making. If
the data used to train AI systems is biased,
incomplete, or of poor quality, it can lead to
inaccurate or flawed results. Additionally,
access to relevant and comprehensive data
can be a challenge in certain domains or
regions.
11. Verdict: Should you rely
on A.I?
To an extent. A.I is avery valuable tool for you to
use regardless of the field you're pursuing.
Its a good alternative for tasks you can do by
yourself. This allows you to delegate time and
energy on other tsaks to speed up the process.
To an extent. A.I is avery valuable tool for you to
use regardless of the field you're pursuing.
Its a good alternative for tasks you can do by
yourself. This allows you to delegate time and
energy on other tsaks to speed up the process.