This is a working slide template for the slide: Artificial Intelligence in the Media as seen in
http://www.slideshare.net/GigiTeoWenJing/artificial-intelligence-in-the-media
This document discusses artificial intelligence (AI), including its definition, uses, depictions in media, and whether it is beneficial or detrimental to humanity. It defines AI as machines that can perform tasks requiring human intelligence. AI is used commercially to aid decision making and substitute for human consultants, and is used in consumer products like video games. The document analyzes AI characters from The Matrix, Absolute Boyfriend, and Tron Legacy that deviated from their original objectives. It concludes that while AI is created to be beneficial, selfish motives or its own development could cause it to become detrimental if not properly constrained.
TV-Narcissism is a soft sort of metafiction which simply consist of telling a story about the journalistic world or about a world where audiovisual products (TV, cameras, smart-phones, etc.) are elaborated.
We can see how the narratives that we usually consume as true are constructed.
Black Mirror is a perfect example of TV-Narcissism
The website provides extensive information about Tron Legacy, including sections on the movie synopsis and cast, the story and characters of Tron, vehicles and weapons, locations, and a lexicon. It allows users to play classic Tron arcade games. Additionally, there were various alternate reality games and puzzles promoted through the website and other platforms that engaged fans to unlock content in the search for Kevin Flynn. The expansive marketing campaign incorporated many interactive elements across the website and social media.
Artificial intelligence is applied in many domains including finance, hospitals, heavy industry, telecommunications, gaming, music, and antivirus software. In finance, AI is used for operations, investing, loan investigations and ATM design. In hospitals, AI organizes bed schedules, staff rotation, and provides medical information. Robots are effectively used in heavy industry for dangerous, repetitive, or degrading jobs. Telecommunications companies use AI for workforce scheduling. AI is also applied to video games through bots and to music composition, performance, and sound processing. Antivirus detection has increasingly integrated AI techniques to improve performance.
Starcraft has become a cultural phenomenon in South Korea. It is played and watched widely, with two TV channels dedicated to broadcasting Starcraft games and tournaments. Top Starcraft players can earn $400,000 per year competing professionally. Starcraft is also hugely popular at the annual World Cyber Games. It is one of the world's largest esports competitions in terms of prize money, viewership, and participants.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
hey!!!!! everybody dats was simple ppt on mobile computing as u all aware dat d world is not stationary things are getting change technology is rocking all over so lets get into in it
and plz. dont forget to comment on my work weather u lik or not
This document discusses artificial intelligence (AI), including its definition, uses, depictions in media, and whether it is beneficial or detrimental to humanity. It defines AI as machines that can perform tasks requiring human intelligence. AI is used commercially to aid decision making and substitute for human consultants, and is used in consumer products like video games. The document analyzes AI characters from The Matrix, Absolute Boyfriend, and Tron Legacy that deviated from their original objectives. It concludes that while AI is created to be beneficial, selfish motives or its own development could cause it to become detrimental if not properly constrained.
TV-Narcissism is a soft sort of metafiction which simply consist of telling a story about the journalistic world or about a world where audiovisual products (TV, cameras, smart-phones, etc.) are elaborated.
We can see how the narratives that we usually consume as true are constructed.
Black Mirror is a perfect example of TV-Narcissism
The website provides extensive information about Tron Legacy, including sections on the movie synopsis and cast, the story and characters of Tron, vehicles and weapons, locations, and a lexicon. It allows users to play classic Tron arcade games. Additionally, there were various alternate reality games and puzzles promoted through the website and other platforms that engaged fans to unlock content in the search for Kevin Flynn. The expansive marketing campaign incorporated many interactive elements across the website and social media.
Artificial intelligence is applied in many domains including finance, hospitals, heavy industry, telecommunications, gaming, music, and antivirus software. In finance, AI is used for operations, investing, loan investigations and ATM design. In hospitals, AI organizes bed schedules, staff rotation, and provides medical information. Robots are effectively used in heavy industry for dangerous, repetitive, or degrading jobs. Telecommunications companies use AI for workforce scheduling. AI is also applied to video games through bots and to music composition, performance, and sound processing. Antivirus detection has increasingly integrated AI techniques to improve performance.
Starcraft has become a cultural phenomenon in South Korea. It is played and watched widely, with two TV channels dedicated to broadcasting Starcraft games and tournaments. Top Starcraft players can earn $400,000 per year competing professionally. Starcraft is also hugely popular at the annual World Cyber Games. It is one of the world's largest esports competitions in terms of prize money, viewership, and participants.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
hey!!!!! everybody dats was simple ppt on mobile computing as u all aware dat d world is not stationary things are getting change technology is rocking all over so lets get into in it
and plz. dont forget to comment on my work weather u lik or not
BENEFITS OF ARTIFICIAL INTELLIGENCE.pptxAkoloThomas1
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Artificial Intelligence (AI) is one of the emerging technologies from the field of computer science that tries to simulate human reasoning in AI systems. John McCarthy invented the term AI in the year 1950. He said, âEvery aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Â
Artificial Intelligence may be a buzzword now, but itâs not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the worldâs attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
The document provides an overview of artificial intelligence (AI) and robotics. It defines AI as replicating human intelligence in machines using perception, reasoning, learning, communicating and acting. The evolution of AI is discussed from early proposals by Alan Turing to recent advances in machine learning. Robotics are described as physical agents that operate in the physical world using sensors and effectors. The relationship between AI and robotics is that AI provides the intelligence for robots to make their own decisions. Examples of AI and robotics applications are presented. The conclusion is that while AI is still in early stages, the combination of AI and robotics may help realize futures depicted in science fiction.
Chapter Three, four, five and six.ppt ITEtxgadisaAdamu
Â
Artificial intelligence (AI) can be summarized as follows:
(1) AI refers to creating intelligent machines that can think and act like humans. It involves machines acquiring knowledge and applying it through experience to solve complex problems.
(2) The key components of human intelligence - learning, reasoning, problem-solving, perception, and linguistic ability - form the basis for developing AI systems.
(3) As data and computing power have increased, AI has advanced from narrow applications to more general problem-solving abilities through techniques like machine learning, neural networks, and deep learning.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
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The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Forget about A.G.I. Let's Build Useable Ai Tools!MassTLC
Â
This document discusses building usable AI tools and challenges related to machine learning applications. It notes that uncertainty, explainability, and lack of training data need to be addressed as user experience problems. Ensuring predictions come with explanations to build trust is important. Techniques like LIME are being developed to explain neural networks. Getting humans involved in providing data through techniques like transfer learning and human-in-the-loop can help address the training data problem. The document distinguishes between tools for doing AI work and intelligent conversational agents.
This document outlines an introduction to artificial intelligence (AI). It defines AI as the study of intelligent machines and computer programs that can mimic human intelligence. It compares human and AI intelligence and describes various AI methods like knowledge-based systems and neural networks. It discusses the motivation for AI and its wide-ranging applications in fields like finance, medicine, industries, telecommunications, music, robotics and more. It also addresses the explosive growth of AI, its advantages in performing dangerous tasks, and limitations in not fully replicating human intelligence.
This document provides an introduction to artificial intelligence, including definitions of intelligence and AI. It discusses Turing's philosophy that a machine can be considered intelligent if it can convince a human it is also human. It outlines several applications of AI like expert systems, machine learning, computer vision and natural language processing. It gives examples of prominent AI systems from IBM, Google, and the University of Tennessee. It also notes that AI is now widely used across many industries and discusses both the future potential and current limitations of AI.
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 presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
SITB160: Rise of the Machines Here Come the Bots!Ivanti
Â
This document discusses the rise of artificial intelligence and intelligent bots/assistants in the workplace. It begins with an overview of how AI technologies are starting to transform the IT and end-user experience through intelligent agents, virtual assistants, bots, conversational interfaces, and automation. It then provides more details on concepts like chatbots, virtual assistants, virtual support agents, and different types of AI including narrow AI, general AI, and super AI. The document discusses the history of AI and highlights some of the key innovators and innovations. It also outlines how AI is already present in technologies people use every day like smartphones. Finally, it discusses how AI will impact businesses in two waves - with bots and automation first, followed by decision support
Artificial intelligence (AI) aims to create intelligent machines that can function like humans. AI involves techniques like machine learning and deep learning. AI is used in many applications today including smart assistants, self-driving cars, spam filters, and recommendations. Major companies and countries are investing heavily in AI research and development. Future trends may include greater use of AI in areas like cybersecurity, healthcare, transportation, and combining AI with augmented or virtual reality technologies.
7072402-AI PPT-unit-1-INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)-by Anu to ...abdraefreq
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This document provides an introduction to artificial intelligence, including:
- Defining AI as the ability of computers to perform tasks normally requiring human intelligence.
- Discussing some of the founding figures and early development of AI from the 1950s onward.
- Describing common applications of AI in daily life, such as smartphones, social media, music streaming, video games, smart homes, security, healthcare, e-commerce, and more.
- Noting that AI is still developing and its full potential is not yet realized across all sectors.
This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from its early concepts proposed by Turing and McCulloh and Pitts to modern applications in areas like expert systems, natural language processing, computer vision, robotics and more. Both positive potential futures of AI, such as personal robots assisting with tasks, and potential negative consequences, like robots being hacked and used for malicious purposes, are considered. The conclusion recognizes both the progress and understanding gained from AI research as well as the ongoing challenges in fully achieving human-level intelligence.
introduction to Artificial Intelligence for computer scienceDawitTesfa4
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The document provides an introduction to artificial intelligence and intelligent agents. It discusses the goals of AI as both an engineering and scientific goal to build intelligent systems and understand intelligent behavior. It defines intelligence and the characteristics of intelligent systems. It also describes the approaches of making computers intelligent by getting them to think like humans, act like humans through the Turing test, think rationally through logic, and act rationally as rational agents. The document then discusses intelligent agents in more detail and the types of agent programs including simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents.
This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from its early development in the 1940s-50s to modern applications. It outlines key concepts in AI like the Turing Test and describes applications including expert systems, natural language processing, computer vision, speech recognition, and robotics. The conclusion states that AI has increased understanding of intelligence while also revealing its complexity, providing challenges for future research.
The document provides a holistic view of artificial intelligence, automation, and digitalization beyond the hype and scaremongering. It addresses several topics in a multi-part manifesto. In part 1, it notes that while some jobs will be lost to AI and automation, this should be viewed through a value perspective rather than a reactive one. It also discusses that current AI is single-dimensional while human/animal intelligence is multi-dimensional across senses, feelings, understanding, thinking and interacting. The human brain is also compact and integrated in a way that current AI systems are not. It argues we should not try to "play God" with AI and that today's AI lacks consciousness and self-awareness. The document sets out
Aikido is a Japanese martial art founded by Morihei Ueshiba, also known as O'Sensei, that focuses on harmony, balance, and using an opponent's energy against them through non-resistant movements.
1. The document discusses whether Twitter is killing literacy by examining arguments on both sides of the debate. It defines standard English and argues that Twitter talk is a dialect that evolves from constraints like the 140 character limit, not a cause of illiteracy.
2. Opponents argue that abbreviations and jargon on Twitter can negatively impact language skills, but proponents counter that use of informal language is a choice and that technology has always driven linguistic evolution through history.
3. The conclusion is that while critiques believe Twitter hampers expression, constraints can also foster creativity, and Twitter is not destroying literacy since language evolves based on norms over time rather than any single platform.
BENEFITS OF ARTIFICIAL INTELLIGENCE.pptxAkoloThomas1
Â
Artificial Intelligence (AI) is one of the emerging technologies from the field of computer science that tries to simulate human reasoning in AI systems. John McCarthy invented the term AI in the year 1950. He said, âEvery aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves
What is Artificial Intelligence? : Everything You Need to Know about AIDashTechnologiesInc
Â
Artificial Intelligence may be a buzzword now, but itâs not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the worldâs attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;
The document provides an overview of artificial intelligence (AI) and robotics. It defines AI as replicating human intelligence in machines using perception, reasoning, learning, communicating and acting. The evolution of AI is discussed from early proposals by Alan Turing to recent advances in machine learning. Robotics are described as physical agents that operate in the physical world using sensors and effectors. The relationship between AI and robotics is that AI provides the intelligence for robots to make their own decisions. Examples of AI and robotics applications are presented. The conclusion is that while AI is still in early stages, the combination of AI and robotics may help realize futures depicted in science fiction.
Chapter Three, four, five and six.ppt ITEtxgadisaAdamu
Â
Artificial intelligence (AI) can be summarized as follows:
(1) AI refers to creating intelligent machines that can think and act like humans. It involves machines acquiring knowledge and applying it through experience to solve complex problems.
(2) The key components of human intelligence - learning, reasoning, problem-solving, perception, and linguistic ability - form the basis for developing AI systems.
(3) As data and computing power have increased, AI has advanced from narrow applications to more general problem-solving abilities through techniques like machine learning, neural networks, and deep learning.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
Â
The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Forget about A.G.I. Let's Build Useable Ai Tools!MassTLC
Â
This document discusses building usable AI tools and challenges related to machine learning applications. It notes that uncertainty, explainability, and lack of training data need to be addressed as user experience problems. Ensuring predictions come with explanations to build trust is important. Techniques like LIME are being developed to explain neural networks. Getting humans involved in providing data through techniques like transfer learning and human-in-the-loop can help address the training data problem. The document distinguishes between tools for doing AI work and intelligent conversational agents.
This document outlines an introduction to artificial intelligence (AI). It defines AI as the study of intelligent machines and computer programs that can mimic human intelligence. It compares human and AI intelligence and describes various AI methods like knowledge-based systems and neural networks. It discusses the motivation for AI and its wide-ranging applications in fields like finance, medicine, industries, telecommunications, music, robotics and more. It also addresses the explosive growth of AI, its advantages in performing dangerous tasks, and limitations in not fully replicating human intelligence.
This document provides an introduction to artificial intelligence, including definitions of intelligence and AI. It discusses Turing's philosophy that a machine can be considered intelligent if it can convince a human it is also human. It outlines several applications of AI like expert systems, machine learning, computer vision and natural language processing. It gives examples of prominent AI systems from IBM, Google, and the University of Tennessee. It also notes that AI is now widely used across many industries and discusses both the future potential and current limitations of AI.
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 presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
SITB160: Rise of the Machines Here Come the Bots!Ivanti
Â
This document discusses the rise of artificial intelligence and intelligent bots/assistants in the workplace. It begins with an overview of how AI technologies are starting to transform the IT and end-user experience through intelligent agents, virtual assistants, bots, conversational interfaces, and automation. It then provides more details on concepts like chatbots, virtual assistants, virtual support agents, and different types of AI including narrow AI, general AI, and super AI. The document discusses the history of AI and highlights some of the key innovators and innovations. It also outlines how AI is already present in technologies people use every day like smartphones. Finally, it discusses how AI will impact businesses in two waves - with bots and automation first, followed by decision support
Artificial intelligence (AI) aims to create intelligent machines that can function like humans. AI involves techniques like machine learning and deep learning. AI is used in many applications today including smart assistants, self-driving cars, spam filters, and recommendations. Major companies and countries are investing heavily in AI research and development. Future trends may include greater use of AI in areas like cybersecurity, healthcare, transportation, and combining AI with augmented or virtual reality technologies.
7072402-AI PPT-unit-1-INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI)-by Anu to ...abdraefreq
Â
This document provides an introduction to artificial intelligence, including:
- Defining AI as the ability of computers to perform tasks normally requiring human intelligence.
- Discussing some of the founding figures and early development of AI from the 1950s onward.
- Describing common applications of AI in daily life, such as smartphones, social media, music streaming, video games, smart homes, security, healthcare, e-commerce, and more.
- Noting that AI is still developing and its full potential is not yet realized across all sectors.
This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from its early concepts proposed by Turing and McCulloh and Pitts to modern applications in areas like expert systems, natural language processing, computer vision, robotics and more. Both positive potential futures of AI, such as personal robots assisting with tasks, and potential negative consequences, like robots being hacked and used for malicious purposes, are considered. The conclusion recognizes both the progress and understanding gained from AI research as well as the ongoing challenges in fully achieving human-level intelligence.
introduction to Artificial Intelligence for computer scienceDawitTesfa4
Â
The document provides an introduction to artificial intelligence and intelligent agents. It discusses the goals of AI as both an engineering and scientific goal to build intelligent systems and understand intelligent behavior. It defines intelligence and the characteristics of intelligent systems. It also describes the approaches of making computers intelligent by getting them to think like humans, act like humans through the Turing test, think rationally through logic, and act rationally as rational agents. The document then discusses intelligent agents in more detail and the types of agent programs including simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents.
This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from its early development in the 1940s-50s to modern applications. It outlines key concepts in AI like the Turing Test and describes applications including expert systems, natural language processing, computer vision, speech recognition, and robotics. The conclusion states that AI has increased understanding of intelligence while also revealing its complexity, providing challenges for future research.
The document provides a holistic view of artificial intelligence, automation, and digitalization beyond the hype and scaremongering. It addresses several topics in a multi-part manifesto. In part 1, it notes that while some jobs will be lost to AI and automation, this should be viewed through a value perspective rather than a reactive one. It also discusses that current AI is single-dimensional while human/animal intelligence is multi-dimensional across senses, feelings, understanding, thinking and interacting. The human brain is also compact and integrated in a way that current AI systems are not. It argues we should not try to "play God" with AI and that today's AI lacks consciousness and self-awareness. The document sets out
Aikido is a Japanese martial art founded by Morihei Ueshiba, also known as O'Sensei, that focuses on harmony, balance, and using an opponent's energy against them through non-resistant movements.
1. The document discusses whether Twitter is killing literacy by examining arguments on both sides of the debate. It defines standard English and argues that Twitter talk is a dialect that evolves from constraints like the 140 character limit, not a cause of illiteracy.
2. Opponents argue that abbreviations and jargon on Twitter can negatively impact language skills, but proponents counter that use of informal language is a choice and that technology has always driven linguistic evolution through history.
3. The conclusion is that while critiques believe Twitter hampers expression, constraints can also foster creativity, and Twitter is not destroying literacy since language evolves based on norms over time rather than any single platform.
The document defines paedophilia as acts or thoughts involving continuous and intense sexual fantasies, urges or behaviors towards children. It discusses symptoms such as onset in adolescence and attraction to children. Causes include biological factors like genetics, psychosocial influences from environment and tendencies to dominate, as well as technology enabling access to child pornography. Predicted impacts are on paedophiles and their families showing mixed emotions, victims and families demonstrating long-term psychological effects, and communities attempting to curb the issue through internet censorship, academic prevention programs, and strengthened legal penalties.
This document discusses three common myths about women lifting weights and provides evidence to debunk each myth. The myths are that 1) lifting weights will cause women to bulk up and get muscular, 2) cardio is better for weight loss than weight training, and 3) muscles will turn to fat if exercise is stopped. The document provides scientific studies and facts showing that women do not have high enough testosterone levels to bulk up like men and that weight training boosts metabolism and calorie burning more than cardio alone. It concludes by offering some easy ways for women to start lifting weights.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
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An English đŹđ§ translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech đ¨đż version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
âTemporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the âTemporal Event Neural Networks: A More Efficient Alternative to the Transformerâ tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChipâs Akida neuromorphic hardware IP further enhances TENNsâ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"Choosing proper type of scaling", Olena SyrotaFwdays
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Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
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This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
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At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
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Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as âkeysâ). In fact, itâs unlikely youâll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, theyâll also be making use of the Split-Merge Block functionality.
Youâll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
9. Some are Non-playable Characters (NPCs) For example: Sports games, Shooters, Fighting games.
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18. However, program may deviate from its original plans on their own accord. Therefore, difficult to conclude if A.I. if fully beneficial/detrimental to human beings.
Hello everyone, I am Gigi Teo, and my team and I would like to present to you Artificial Intelligence as shown in the media.
The topics weâll be covering today are: What is AI? Why do humans use it AI in Movies andIf AI is a boon or bane.
Now, last week, Mr. Chan has already taught us what AI is. However, Iâd like to refresh your memory by giving you a brief description of it. Simply put, AI is the science of making machines do things that would require intelligence if done by men. This field was founded by Alan Turing in 1950, where he later goes on to invent the Turing Test; a test to deem if an AI is successful or not. Thus far, Turing has created the basis for research on artificial intelligence that is greatly motivated and inspired by human behaviors: the way we walk, talk, see, think and do. These intelligent agents are then expected to respond to an input respectively. According to Brookshear (2009), an agent is a âdeviceâ that responds to stimuli from its environment. While we commonly relate such âdevicesâ to robots, intelligent agents are not restricted to them only. It encompasses an airplane on autopilot mode and even the tumble dryer that is capable of adapting its settings dependent on the load and its dampness.
-- Philip Brou, of Acsent Technology when referring to the allocating of resources
Defy the rules of logic within the Matrix; including the unique ability to take over any virtual body that is still connected to the Matrix, thereby multiplying himself to do tasks.
e.g. good at cooking, looks sexy when exercising, a little jealous etc.- does household chores
Dictator of Tron system. Identity Disc as his weapon.
Dictator of Tron system. Identity Disc as his weapon.
Dictator of Tron system. Identity Disc as his weapon.
Omnidroids: Programmed to develop counter attacks to destroy opponents by learning its opponents moves.
Omnidroids: Programmed to develop counter attacks to destroy opponents by learning its opponents moves.