Did you know many of the Google products and services you use are powered by artificial intelligence? Find out how Google has integrated AI into its offerings, and what the company has planned for the future.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
what is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
Artificial intelligence (AI) is the ability of computers and machines to think and learn. The document discusses different types of AI including strong AI which can think like humans and weak AI which responds to specific situations. The history of AI began in the 1950s with Alan Turing's work and the 1956 Dartmouth Conference where the term "artificial intelligence" was coined. Current applications of AI include mobile phones, games, GPS, robots and personal assistants. The future of AI may include military robots, self-driving cars, improved healthcare, and smart homes. While AI provides benefits like accuracy and space exploration, concerns include costs, lack of human touch, and potential job losses. Strong skills in math, programming, and machine learning
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.
ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.
Give a background of Data Science and Artificial Intelligence, to better understand the current state of the art (SOTA) for Large Language Models (LLMs) and Generative AI. Then start a discussion on the direction things are going in the future.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
what is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
Artificial intelligence (AI) is the ability of computers and machines to think and learn. The document discusses different types of AI including strong AI which can think like humans and weak AI which responds to specific situations. The history of AI began in the 1950s with Alan Turing's work and the 1956 Dartmouth Conference where the term "artificial intelligence" was coined. Current applications of AI include mobile phones, games, GPS, robots and personal assistants. The future of AI may include military robots, self-driving cars, improved healthcare, and smart homes. While AI provides benefits like accuracy and space exploration, concerns include costs, lack of human touch, and potential job losses. Strong skills in math, programming, and machine learning
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
Chat GPT is an AI chatbot system released by OpenAI in November 2022 that can answer questions using its vast database of internet text. It was trained using reinforcement learning from human feedback on 570GB of text. While Chat GPT can be helpful, it has limitations like occasionally providing incorrect answers and having a limit of 60-70 questions per hour. It marks progress in natural language processing, but still lacks critical thinking skills.
ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.
ChatGPT is an AI chatbot created by OpenAI that can understand questions and provide answers in natural language. It was trained using reinforcement learning from human feedback on massive text datasets. In its initial release, ChatGPT is free to use but OpenAI may later monetize it due to high operating costs. While very capable, ChatGPT has limitations like an inability to gather new information or think critically.
An introduction to AI (artificial intelligence)Bellaj Badr
An introduction to AI (artificial intelligence)
The ppt link is available bellow https://docs.google.com/presentation/d/1-oaO75DEdP259HNrrvh5fbZVOtaiiiffi3luyv0tShw/edit?usp=sharing
you could leave your comments on google slides
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
ChatGPT is a chatbot developed by OpenAI that was launched in November 2022 and can answer questions across many domains using its training on 570GB of internet text data. It works by taking user questions and searching its database to provide quick answers, and allows users to provide feedback to continuously update its knowledge. While ChatGPT can give personalized responses and detailed answers freely, limitations include its potential to reduce human creativity, the risk of believing incorrect answers, its current support only for English, and its inability to answer all questions due to ending its training in March 2022.
The document discusses different types of artificial intelligence including narrow AI, general AI, and super AI. It provides examples of narrow AI systems like Siri, Watson, self-driving cars, and algorithms for tasks like chess-playing or image recognition. General AI aims to achieve human-level intelligence across all domains but currently does not exist. Super AI could potentially surpass human abilities but is still hypothetical. The document also covers reactive systems, limited memory systems, and potential future developments in theory of mind and self-aware AI.
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
This document provides an overview of artificial intelligence and machine learning. It begins by defining AI as computer systems that can perform tasks autonomously and adaptively. Machine learning is described as getting computers to learn without being explicitly programmed. Examples of machine learning in daily life are discussed. The basics of supervised and unsupervised learning are explained. Ethical issues around AI like bias, fairness, and determining appropriate use are then discussed. Options for addressing these issues like ensuring diversity of data and viewpoints are presented. The document concludes by providing recommendations for further learning.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
1.ANDROID
2.INTRODUCTION
Android is a Linux-based operating system designed primarily for touchscreen mobile devices such as smartphones and tablet computers.
Initially developed by Android, Inc., which Google backed financially and later bought in 2005, Android was unveiled in 2007 along with the founding of the Open Handset Alliance: a consortium of hardware, software, and telecommunication companies devoted to advancing open standards for mobile devices. The first Android-powered phone was sold in October 2008.
3.ARCHITECTURE
4.Android consists of a kernel based on Linux kernel version 2.6 and, from Android 4.0 Ice Cream Sandwich onwards, version 3.x, with middleware, libraries and APIs written in C, and application software running on an application framework which includes Java-compatible libraries based on Apache Harmony.
Android uses the Dalvik virtual machine with just-in-time compilation to run Dalvik 'dex-code' (Dalvik Executable), which is usually translated from Java bytecode.The main hardware platform for Android is the ARM architecture.
5.APPLICATIONS
Android has a growing selection of third party applications, which can be acquired by users either through an app store such as Google Play or the Amazon Appstore, or by downloading and installing the application's APK file from a third-party site.
The Play Store application allows users to browse, download and update apps published by Google and third-party developers, and is pre-installed on devices that comply with Google's compatibility requirements.
6.APPLICATIONS
The app filters the list of available applications to those that are compatible with the user's device, and developers may restrict their applications to particular carriers or countries for business reasons. Purchases of unwanted applications can be refunded within 15 minutes of the time of download, and some carriers offer direct carrier billing for Google Play application purchases, where the cost of the application is added to the user's monthly bill.
As of September 2012, there were more than 675,000 apps available for Android, and the estimated number of applications downloaded from the Play Store was 25 billion.
7.SECURITY & PRIVACY
Android applications run in a sandbox, an isolated area of the system that does not have access to the rest of the system's resources, unless access permissions are explicitly granted by the user when the application is installed. Before installing an application, the Play Store displays all required permissions: a game may need to enable vibration or save data to an SD card, for example, but should not need to read SMS messages or access the phonebook. After reviewing these permissions, the user can choose to accept or refuse them, installing the application only if they accept.
Benefits and risk of artificial intelligence slideshareSandeep Mishra
This document discusses the benefits and risks of artificial intelligence. It begins by explaining what AI is currently, which is narrow or weak AI designed for specific tasks, and the long term goal of general or strong AI that can outperform humans at most cognitive tasks.
It then discusses why researching AI safety is important, both to ensure beneficial outcomes as AI capabilities increase and to address challenges like developing superintelligence that could surpass human intellect. The document outlines some potential dangers like AI being programmed for harmful purposes or failing to fully align goals.
Finally, it notes increased interest in AI safety from technology leaders given recent advances bringing many AI milestones thought to be decades away much closer to the present, making addressing safety issues more
The document discusses how artificial intelligence will impact the future of work. It notes that by 2030, Gartner predicts that 80% of today's project management tasks will be eliminated as AI takes over. It also lists the top 10 jobs that are likely to be adopted by companies using AI and other emerging technologies by 2022. The document emphasizes skills like analytical thinking, active learning, and emotional intelligence as important for the future of work as jobs change. It provides references to additional reports on AI, automation, and the future of jobs.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
This document describes the development of a chatbot application using Python to answer queries about a college. It discusses the existing system of students having to visit the college in person to ask questions, and the limitations thereof. The proposed chatbot system allows students to get college information by chatting with the bot through text. The document outlines the modules, design, and functioning of the chatbot, including its ability to understand natural language queries and provide relevant answers from its database. It concludes discussing the benefits of chatbots and potential for future improvements.
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
To find more about it, checkout these slides. For more info, visit our website, www.appgalleryinc.com
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points:
- ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed.
- Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed.
- Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
How Samsung Is Using Artificial Intelligence (AI)Bernard Marr
As the world’s largest manufacturer of mobile phones and a major components producer, Samsung continues to expand its integration of AI technology into its products. So what are the latest AI developments from Samsung?
The 7 Biggest Artificial Intelligence (AI) Trends In 2022Bernard Marr
The document discusses 8 major artificial intelligence trends for 2022:
1. The augmented workforce, where AI tools will help boost workers' abilities and make jobs more efficient.
2. Bigger and better language models that can generate more human-like text.
3. Increased use of AI in cybersecurity to detect network threats.
4. Role of AI in developing virtual worlds known as the "metaverse."
5. Growth of low-code and no-code tools that make AI development simpler.
6. Advancements in autonomous vehicles like cars and ships.
7. AI that can generate more complex creative works like art and music.
8. Continued pushing of boundaries in what AI systems
ChatGPT is an AI chatbot created by OpenAI that can understand questions and provide answers in natural language. It was trained using reinforcement learning from human feedback on massive text datasets. In its initial release, ChatGPT is free to use but OpenAI may later monetize it due to high operating costs. While very capable, ChatGPT has limitations like an inability to gather new information or think critically.
An introduction to AI (artificial intelligence)Bellaj Badr
An introduction to AI (artificial intelligence)
The ppt link is available bellow https://docs.google.com/presentation/d/1-oaO75DEdP259HNrrvh5fbZVOtaiiiffi3luyv0tShw/edit?usp=sharing
you could leave your comments on google slides
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
ChatGPT is a chatbot developed by OpenAI that was launched in November 2022 and can answer questions across many domains using its training on 570GB of internet text data. It works by taking user questions and searching its database to provide quick answers, and allows users to provide feedback to continuously update its knowledge. While ChatGPT can give personalized responses and detailed answers freely, limitations include its potential to reduce human creativity, the risk of believing incorrect answers, its current support only for English, and its inability to answer all questions due to ending its training in March 2022.
The document discusses different types of artificial intelligence including narrow AI, general AI, and super AI. It provides examples of narrow AI systems like Siri, Watson, self-driving cars, and algorithms for tasks like chess-playing or image recognition. General AI aims to achieve human-level intelligence across all domains but currently does not exist. Super AI could potentially surpass human abilities but is still hypothetical. The document also covers reactive systems, limited memory systems, and potential future developments in theory of mind and self-aware AI.
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
This document provides an overview of artificial intelligence and machine learning. It begins by defining AI as computer systems that can perform tasks autonomously and adaptively. Machine learning is described as getting computers to learn without being explicitly programmed. Examples of machine learning in daily life are discussed. The basics of supervised and unsupervised learning are explained. Ethical issues around AI like bias, fairness, and determining appropriate use are then discussed. Options for addressing these issues like ensuring diversity of data and viewpoints are presented. The document concludes by providing recommendations for further learning.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
1.ANDROID
2.INTRODUCTION
Android is a Linux-based operating system designed primarily for touchscreen mobile devices such as smartphones and tablet computers.
Initially developed by Android, Inc., which Google backed financially and later bought in 2005, Android was unveiled in 2007 along with the founding of the Open Handset Alliance: a consortium of hardware, software, and telecommunication companies devoted to advancing open standards for mobile devices. The first Android-powered phone was sold in October 2008.
3.ARCHITECTURE
4.Android consists of a kernel based on Linux kernel version 2.6 and, from Android 4.0 Ice Cream Sandwich onwards, version 3.x, with middleware, libraries and APIs written in C, and application software running on an application framework which includes Java-compatible libraries based on Apache Harmony.
Android uses the Dalvik virtual machine with just-in-time compilation to run Dalvik 'dex-code' (Dalvik Executable), which is usually translated from Java bytecode.The main hardware platform for Android is the ARM architecture.
5.APPLICATIONS
Android has a growing selection of third party applications, which can be acquired by users either through an app store such as Google Play or the Amazon Appstore, or by downloading and installing the application's APK file from a third-party site.
The Play Store application allows users to browse, download and update apps published by Google and third-party developers, and is pre-installed on devices that comply with Google's compatibility requirements.
6.APPLICATIONS
The app filters the list of available applications to those that are compatible with the user's device, and developers may restrict their applications to particular carriers or countries for business reasons. Purchases of unwanted applications can be refunded within 15 minutes of the time of download, and some carriers offer direct carrier billing for Google Play application purchases, where the cost of the application is added to the user's monthly bill.
As of September 2012, there were more than 675,000 apps available for Android, and the estimated number of applications downloaded from the Play Store was 25 billion.
7.SECURITY & PRIVACY
Android applications run in a sandbox, an isolated area of the system that does not have access to the rest of the system's resources, unless access permissions are explicitly granted by the user when the application is installed. Before installing an application, the Play Store displays all required permissions: a game may need to enable vibration or save data to an SD card, for example, but should not need to read SMS messages or access the phonebook. After reviewing these permissions, the user can choose to accept or refuse them, installing the application only if they accept.
Benefits and risk of artificial intelligence slideshareSandeep Mishra
This document discusses the benefits and risks of artificial intelligence. It begins by explaining what AI is currently, which is narrow or weak AI designed for specific tasks, and the long term goal of general or strong AI that can outperform humans at most cognitive tasks.
It then discusses why researching AI safety is important, both to ensure beneficial outcomes as AI capabilities increase and to address challenges like developing superintelligence that could surpass human intellect. The document outlines some potential dangers like AI being programmed for harmful purposes or failing to fully align goals.
Finally, it notes increased interest in AI safety from technology leaders given recent advances bringing many AI milestones thought to be decades away much closer to the present, making addressing safety issues more
The document discusses how artificial intelligence will impact the future of work. It notes that by 2030, Gartner predicts that 80% of today's project management tasks will be eliminated as AI takes over. It also lists the top 10 jobs that are likely to be adopted by companies using AI and other emerging technologies by 2022. The document emphasizes skills like analytical thinking, active learning, and emotional intelligence as important for the future of work as jobs change. It provides references to additional reports on AI, automation, and the future of jobs.
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
This document describes the development of a chatbot application using Python to answer queries about a college. It discusses the existing system of students having to visit the college in person to ask questions, and the limitations thereof. The proposed chatbot system allows students to get college information by chatting with the bot through text. The document outlines the modules, design, and functioning of the chatbot, including its ability to understand natural language queries and provide relevant answers from its database. It concludes discussing the benefits of chatbots and potential for future improvements.
A chatterbot (also known as a talkbot, chatbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods.
To find more about it, checkout these slides. For more info, visit our website, www.appgalleryinc.com
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points:
- ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed.
- Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed.
- Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
How Samsung Is Using Artificial Intelligence (AI)Bernard Marr
As the world’s largest manufacturer of mobile phones and a major components producer, Samsung continues to expand its integration of AI technology into its products. So what are the latest AI developments from Samsung?
The 7 Biggest Artificial Intelligence (AI) Trends In 2022Bernard Marr
The document discusses 8 major artificial intelligence trends for 2022:
1. The augmented workforce, where AI tools will help boost workers' abilities and make jobs more efficient.
2. Bigger and better language models that can generate more human-like text.
3. Increased use of AI in cybersecurity to detect network threats.
4. Role of AI in developing virtual worlds known as the "metaverse."
5. Growth of low-code and no-code tools that make AI development simpler.
6. Advancements in autonomous vehicles like cars and ships.
7. AI that can generate more complex creative works like art and music.
8. Continued pushing of boundaries in what AI systems
AI Is The Foundation For The Biggest Business Ideas At Google’s Parent Compan...Bernard Marr
Artificial intelligence is deeply integrated into many of Alphabet’s products and services. Find out how Google’s parent company is forging its own path with AI innovations.
The 10 Best Examples Of How Companies Use Artificial Intelligence In PracticeBernard Marr
All the world's tech leaders are racing to offer cutting-edge uses of artificial intelligence (AI). As a result, they use artificial intelligence in many ways and give us some of the best examples of artificial intelligence in practice. Here are the ten best examples of how companies use AI today.
LUON WassUp recap - mar 2014 - 1. the search landscapeLUON
1. The social, mobile and search worlds are colliding as major players like Google, Facebook, and Pinterest try to expand their markets.
2. Google is moving towards more semantic, conversational search capabilities with products like Google Now and its Hummingbird algorithm update. This shift away from keyword-focused search impacts traditional SEO approaches.
3. While Bing looks for ways to gain market share from Google, Facebook is entering search through features like Graph Search and Pinterest is exploring visual search through image recognition technology.
3 Important Ways Artificial Intelligence Will Transform Your Business And Tur...Bernard Marr
Artificial Intelligence (AI) is likely to be the most powerful technology humans have ever had access to. Here we look at the three main ways AI can be used in businesses to deliver success
Google and Artificial Intelligence: Things You Should Know PaulDonahue16
In 2012, Google established a team dedicated to researching and applying artificial intelligence (AI). This team is now known as Google AI. Through deep learning systems and AI advancement, Google AI developed products and services that help in augmenting people's capability to accomplish more.
Advanced Digital Media Services tackles points about these developments to help you see how they affect our lives in positive ways.
https://advdms.com/blog/google-and-artificial-intelligence-things-you-should-know/
The 10+ Best Real-World Examples Of Augmented RealityBernard Marr
Augmented reality overlays digital information and models on the physical environment. Businesses in many industries are finding valuable applications for the technology. It’s a rapidly growing sector of the tech world and one that can already help customers and businesses today.
How Are Digital Twins Used In Practice: 5 Real-World Examples Beyond Manufact...Bernard Marr
Digital Twins are proving to be an important technology trend, not just in manufacturing. Having a digital copy of a real product or process has become invaluable in healthcare, retail, and city planning.
Five Smart Marketing Use Cases For Artificial IntelligenceBernard Marr
Artificial Intelligence (AI) is transforming marketing. Here we look at the different ways companies of any size, and with any budget, can make use of this technology to improve marketing performance.
The 10 Best Examples Of How AI Is Already Used In Our Everyday LifeBernard Marr
Artificial intelligence is used extensively in everyday life, according to the document. Some key examples provided include: using face ID to unlock smartphones each morning; social media platforms personalizing user feeds and filtering content using AI; email services employing AI for spam filtering and spell checking; search engines like Google delivering personalized results and targeted ads through AI; and digital assistants like Siri and Alexa answering questions through natural language processing. The document also discusses AI applications in smart home devices, navigation apps, banking fraud detection, Amazon recommendations, and Netflix's AI-powered suggestions.
Larry Page and Sergey Brin founded Google in 1995 after developing a search engine called BackRub at Stanford University. Google is now a multinational technology company that generates over $50 billion annually in revenue, primarily from online advertising. It offers many popular services like Google Search, Gmail, Google Maps, YouTube, Android, and Chrome.
10 Business Functions That Are Ready To Use Artificial IntelligenceBernard Marr
Artificial intelligence (AI) and machine learning are starting to be adopted by businesses across nearly every industry even though it's still a new technology, and there's no way of knowing all that it will enable us to do once it's matured. Here are 10 business functions that are ready to use artificial intelligence.
This document provides case studies on how several companies leverage big data, including Google, GE, Cornerstone, and Microsoft. The Google case study describes how Google processes billions of search queries daily and uses this data to continuously improve its search algorithms. The GE case study outlines how GE collects vast amounts of sensor data from power turbines, jet engines, and other industrial equipment to optimize operations and efficiency. The Cornerstone case study examines how Cornerstone uses employee data to help clients predict retention and performance. Finally, the Microsoft case study discusses how Microsoft has positioned itself as a major player in big data and offers data hosting and analytics services.
Top 10 greatest ai trends in business 2020 Jnr Masero
Artificial Intelligence is the technological story of the 2010s, and over time, more AI technologies are on the way. AI was the new charm for all tech people — but it did not end even in the second decade. No doubt, 2019 was the year of artificial intelligence; however, 2020 has promised more AI miracles. Here are the top ten greatest AI trends in business in 2020
7 Amazing Examples of Digital Twin Technology In PracticeBernard Marr
Digital twins are a virtual simulation of real-world objects. By using Internet of Things sensors that feed data from the physical object to computers, digital twins provide the exact same situation to study and test without the consequences of doing the test in the real world. The uses for the technology are nearly limitless.
How To Get Started With Your AI JourneyBernard Marr
Artificial intelligence (AI) and automation will create $15.7 trillion in value for businesses over the next decade. Make no mistake, this is the new gold rush, and companies that are able to understand, adapt and leverage this world-changing technology to meet their goals have the potential to achieve huge growth.
Larry Page and Sergey Brin founded Google in 1995 after developing a search engine called BackRub at Stanford University that used links to determine webpage importance. Google is now a multinational technology company that generates over $50 billion annually in revenue primarily from online advertising and offers various internet-related services and products such as search, maps, Gmail, Android, and YouTube. Google has expanded globally with over 70 offices in more than 40 countries.
Future Trends of AI and Analytics in the CloudBernard Marr
Artificial intelligence (AI) has the potential to be the most powerful and transformative technology the business world has ever seen, helping us make smarter decisions, automate tasks and fully realize the value of the data businesses are generating at an ever-growing rate.
The document provides information on Google's innovation outlook, value chain analysis, innovation journey, future plans, mission, vision, and financial data. It discusses how Google encourages employee creativity and focuses on resolving user problems. It outlines Google's launches of innovative products like Google Books, Chrome, Android, Google Maps, Google Street View, Google Photos, Google Assistant, Google Lens, and Pixel phones. The document also summarizes Google's future plans in areas like mobility, hardware, robotics, AI, and space exploration. It provides Google's mission to organize the world's information and make it universally accessible and useful, and its vision to provide one-click access to information. Finally, it shares Google's revenue figures from 2013-
Similar to How Does Google Use Artificial Intelligence? (20)
The telecom industry never stands still, and new innovations, as well as external factors, are driving continuous change. Here we look at the five biggest telecom trends in 2023.
How To Use Meta’s Horizon Workrooms For BusinessBernard Marr
Horizon Workrooms is Meta's virtual working platform. In this post, we explore how businesses can use it and discuss whether it’s time to move our meetings from video calls to the metaverse.
Healthcare never stands still, and new innovations, as well as external factors, are driving continuous change. Here we look at the five biggest healthcare trends in 2023.
The Top 5 In-Demand Tech Skills For Jobs In 2023Bernard Marr
The job market is shifting all the time and every-faster digitisation means the skills companies will require are changing. Here we look at the top in-demand skills for 2022.
Policing In The Metaverse: What’s Happening NowBernard Marr
The metaverse offers law enforcement agencies the opportunity to learn more about how to fight crime online, and also enables virtual training on real-world policing situations. Here’s how policing organizations are starting to join the metaverse.
Banking In The Metaverse – The Next Frontier For Financial Services Bernard Marr
The metaverse is going to transform most industries, and banking is no exception. Here, we look at examples of how banks are already entering the metaverse and what the future might hold for financial services firms in the immersive digital world of tomorrow.
The 7 Biggest Business Challenges Every Company Is Facing In 2023Bernard Marr
In this article, we look at the seven biggest challenges businesses will be facing in 2023. We discuss challenges in relation to the economy, supply chains, consumer expectations, digital transformation, cyber security, sustainability, and finding the right talent.
Is This The Downfall Of Meta And Social Media As We Know It?Bernard Marr
In this piece, we look at the decline of Meta and explore why a company once in its golden age was the most widely used app that aspired to great expectations like connecting people and finding friends has deteriorated so tremendously.
The Top Five Cybersecurity Trends In 2023Bernard Marr
Cybersecurity is a fast-evolving area. Here, we look at the most important trends to watch out for in 2023, including the increased threats from connected IoT devices, hybrid working, and state-sponsored attacks.
The Top 5 Technology Challenges In 2023Bernard Marr
When it comes to technology, rapidly changing conditions pose unprecedented challenges that must not be ignored. Learn the top 5 tech challenges companies need to address to survive and thrive in 2023.
How To Build A Positive Hybrid And Remote Working Culture In 2023Bernard Marr
Hybrid and remote work deliver benefits to both customers and employees. But how do you create a positive culture when everyone is working apart? Here we look at the top tips for building a positive hybrid and remote work culture in 2023.
Beyond Dashboards: The Future Of Analytics And Business Intelligence? Bernard Marr
We have become accustomed to dashboards and data reports in our modern, data-driven businesses. However, the question is whether there are better ways to connect people with the insights they need. Here we look at a potentially different future of BI and analytics, based on a conversation with Sisense CEO Amir Orad.
The Top 5 Data Science And Analytics Trends In 2023Bernard Marr
Data has become one of today's most important business assets, and data science enables us to turn this data into value. In the field, we see fast evolutions and new advances, especially in artificial intelligence and machine learning. Here, we look at the five biggest data science trends for 2023.
The 5 Biggest Business Trends For 2023Bernard Marr
What are the most significant business trends emerging in 2023, and why are they so important? Check out this list to get my predictions for the top five tech trends of the year.
The Top 12 Virtual Networking Tips To Boost Your CareerBernard Marr
Crafting a digital reputation and building an online network takes time, but anyone can do it – and these days, it’s more important than ever. Here are some tips for virtual networking in a post-pandemic world.
How AI And Machine Learning Will Impact The Future Of HealthcareBernard Marr
Global healthcare is facing enormous challenges, but artificial intelligence and machine learning hold the secret to transforming our ailing health system into a more equitable, efficient way to care for patients.
Top 16 Essential Soft Skills For The Future of WorkBernard Marr
The workplace of the future will include more automation of repetitive tasks – but that means we will need distinctly human skills like critical thinking, creativity, and collaboration more than ever. Find out which skills you should cultivate to thrive in the new world of work.
Artificial Intelligence And The Future Of MarketingBernard Marr
Artificial intelligence is currently transforming marketing. Here, we look at the most exciting opportunities when it comes to using AI in marketing and explore where they are already being tapped.
Is AI Really a Job Killer? These Experts Say NoBernard Marr
Many experts predict that AI and machine learning will wipe out thousands of jobs worldwide — but authors Thomas Davenport and Steven Miller believe that AI and intelligent technology will augment human work, rather than replace it.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.