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International Journal of Artificial Intelligence in Education The International Journal of Artificial Intelligence in Education (IJAIED) publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modeling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of
AI Weekly A weekly collection of the best news and resources on Artificial Intelligence and Machine Learning. For free
Artificial Intelligence - An International Journal - Elsevier Artificial Intelligence, which commenced publication in 1970, is now the generally accepted premier international forum for the publication of results of current research in this field. The journal welcomes foundational and applied papers describing mature work involving computational accounts of aspects...
Journal of Artificial Intelligence Research - JAIR JAIR (ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first scientific journals on the Web, JAIR is indexed by INSPEC, Science Citation Index, and MathSciNet. JAIR reviews papers within approximately three months of submission and publishes accepted articles on the internet immediately upon receiving the final versions. JAIR is an open access journal and articles are published for free distribution on the internet by the AI Access Foundation. Bound volumes are available for purchase from AAAI Press.
Artificial Intelligence Review - Springer Artificial Intelligence Review publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in artificial intelligence, cognitive science and related disciplines. It serves as a forum for the work of researchers and application developers from these fields.
Artificial intelligence - From Wikipedia, the free encyclopedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For instance, optical character recognition is no longer perceived as an example of "artificial intelligence", having become a routine technology.[3] Capabilities currently classified as AI include successfully understanding human speech,[4] competing at a high level in strategic game systems (such as chess and Go[5]), self-driving cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data.
What is Artificial Intelligence? An Informed Definition What is artificial intelligence (AI)? We take the term for granted, but how might we phrase a formal definition? And are the technologies that we have today really reflective of all that this term implies? Traditionally a branch of computer science, AI as a holistic concept has pulled from many areas of academic arenas, from philosophy to physics. Many are aware of the recognized origins of the term – famed computer scientist John McCarthy in 1956 at the “Dartmouth summer research project on Artificial Intelligence.†Since that time and as research and technology in this area has evolved, definitions of AI have shifted across a wide spectrum, and academics, businesspeople, and laypersons have a range of definitions (some better informed and reasoned than others – though again, the utility of such a term can depend on background and objectives).
Artificial intelligence - ScienceDaily The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success. John McCarthy, who coined the term in 1956, defines it as "the science and engineering of making intelligent machines." Other names for the field have been proposed, such as computational intelligence, synthetic intelligence or computational rationality.
What is artificial intelligence (AI), and what is the difference between general AI and narrow AI? There seems to be a lot of disagreement and confusion around artificial intelligence right now. We’re seeing ongoing discussion around evaluating AI systems with the Turing Test, warnings that hyper-intelligent machines are going to slaughter us and equally frightening, if less dire, warnings that AI and robots are going to take all of our jobs. In parallel we have also seen the emergence of systems such as IBM Watson, Google’s Deep Learning, and conversational assistants such as Apple’s Siri, Google Now and Microsoft’s Cortana. Mixed into all this has been crosstalk about whether building truly intelligent systems is even
Artificial Intelligence: Think Again The dominant public narrative about artificial intelligence is that we are building increasingly intelligent machines that will ultimately surpass human capabilities, steal our jobs, possibly even escape human control and kill us all. This misguided perception, not widely shared by AI researchers, runs a significant risk of delaying or derailing practical applications and influencing public policy in counterproductive ways. A more appropriate framing—better supported by historical progress and current developments—is that AI is simply a natural continuation of longstanding efforts to automate tasks, dating back at least to the start of the industrial revolution. Stripping the field of its gee-whiz apocalyptic gloss makes it easier to evaluate the likely benefits and pitfalls of this important technology, not to mention dampen the self-destructive cycles of hype and disappointment that have plagued the field since its inception.
What is artificial intelligence anyway? Artificial intelligence is once again in the media spotlight. But what is it exactly? And how does it relate to developments in machine learning and deep learning? Below we spell out the various interpretations of AI and look back on how the technology has developed over the years.
A Very Short History Of Artificial Intelligence (AI) The Web (especially Wikipedia) is a great source for the history of artificial intelligence. Other key sources include Nils Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements; Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach; Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World; and Artificial Intelligence and Life in 2030. Please comment regarding inadvertent omissions and inaccuracies.
A Brief History of Artificial Intelligence This post is a brief outline of what happened in artificial intelligence in the last 60 years. A great place to start or brush up on your history.
A Brief History of Artificial Intelligence The roots of modern Artificial Intelligence, or AI, can be traced back to the classical philosophers of Greece, and their efforts to model human thinking as a system of symbols. More recently, in the 1940s, a school of thought called “Connectionism†was developed to study the process of thinking. In 1950, a man named Alan Turing wrote a paper suggesting how to test a “thinking†machine. He believed if a machine could carry on a conversation by way of a teleprinter, imitating a human with no noticeable differences, the machine
What is generative design? Generative design mimics nature’s evolutionary approach to design. Designers or engineers input design goals into generative design software, along with parameters such as materials, manufacturing methods, and cost constraints. Then, using cloud computing, the software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.
Generative design software will give designers "superpowers" Generative design tools that produce optimum forms for products and buildings without human intervention are set to transform both the physical world and the role of the designer, according to software experts. The software can automatically make aircraft lighter, buildings stronger and trainers more comfortable – with the designer acting as a "curator", rather than making all the decisions. The emerging technology uses algorithms to generate every possible permutation of a design solution. The designer simply enters a set of parameters and then chooses the best outcome generated by the software.
Generative Design: What It Is and Why It’s Cool Generative design is an intriguing new creative paradigm emerging in the field of design which mirrors similar developments in art and music. The modernists of the early 20th century emphasized the importance of the processes used to create a painting, a poem, or a composition. Generative design pushes this procedural method to the conclusion that could only have been imagined by many of the modernists. In generative design, designers set up a process — they write the rules for a system — but the end result is produced by the process itself. Like a chain of
What Happens When AI Starts Designing Things? Autodesk CTO Sounds Off "Everything you see is a product of a person, an idea, and a tool. Throughout human history we've always had this urge to shape the world according to our ideas, and it's our technology that's given us the power to make those ideas real. We started with simple machines, using wheels and levers to stack stones on top of each other. These tools gave us the power to imagine things like the pyramids. Then we developed mass produced steel, rivets, cranes, elevators. These new tools helped us to reimagine what buildings could be, giving us the first skyscrapers.
How artificial intelligence could design your next car Artificial intelligence is set to take a key role in the design and engineering of new cars, dreaming up lighter, stronger and more complex structures than humans can envision. Just as computing power exceeds the mathematical capability of the human mind, smart software capable of innovation and problem solving is set to push product development into new territory. Hack Rod, a team of designers, engineers, geeks, Hollywood insiders and stunt drivers is working on a way to harness the power of artificial intelligence in tandem with powerful design software produced by Autodesk.
AI and the future of design: What will the designer of 2025 look like? Today, most design jobs are defined by creative and social intelligence. These skill sets require empathy, problem framing, creative problem solving, negotiation, and persuasion. The first impact of AI will be that more and more non-designers develop their creativity and social intelligence skills to bolster their employability.
ICEAAI 2018 : 20th International Conference on Engineering Applications of Artificial Intelligence The ICEAAI 2018: 20th International Conference on Engineering Applications of Artificial Intelligence aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of Engineering Applications of Artificial Intelligence. It also provides the premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of Engineering Applications of Artificial Intelligence. Call for Papers : Applications of AI Artificial Intelligence and Intelligent Systems Autonomous Agents and Multi-agent Systems Case-Based Reasoning October 04, 2018
World conference on Robotics & Artificial Intelligence - Barcelona, Spain Theme: Future Scope in the Field of Robotics & Artificial Intelligence Scientific Federation is delighted to welcome you to World Conference on Robotics & Artificial Intelligence which will be held on July 26-27, 2018 at Barcelona, Spain. July 26, 2018
Autonomous Machines World - Titanic Chaussee Berlin Autonomous Systems technologies are playing an increasingly important role in our interconnected and digitalized world. The dawn of autonomous systems will have far-reaching consequences for many industry sectors as well as our daily lives. We have now entered an era where replacing human labour by intelligent machines in an ever increasing range of tasks will become one of the biggest challenges for us all - and an opportunity for increased efficency and cost reduction of yet unknown proportions. The Autonomous Machines World 2018 is an international knowledge exchange platform bringing together the top experts in the field, and will provide a unique glimpse into the fascinating world of autonomous robots, intelligent machines and smart technologies. June 25, 2018
A Networked Self: Human Augmentics, Artificial Intelligence, Sentience Every new technology invites its own sets of hopes and fears, and raises as many questions as it answers revolving around the same theme: Will technology fundamentally alter the essence of what it means to be human? Focusing on human augmentics, artificial intelligence, and sentience, this volume draws inspiration from the work of the many luminaries who approach augmented, alternative forms of intelligence and consciousness. Scholars contribute their thoughts on how human augmentic technologies and artificial or sentient forms of intelligence can be used to enable June 01, 2018
RISE OF AI CONFERENCE 2018 ONE DAY OF ARTIFICIAL INTELLIGENCE VISION, LEARNING AND NETWORKING Rise of AI is a full-day conference that connects over 500 AI experts, decision-makers, opinion-leaders and game-changers. Rise of AI gives you the opportunity to network, learn how to apply AI in your business and understand Artificial Intelligence’s impact over the next years. May 17, 2018
5th International conference on Artificial Intelligence Meet Inspiring Speakers and Experts at our 3000+ Global Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business. Artificial Intelligence 2018 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists and students from research area of Artificial Intelligence to share their research experiences and indulge in interactive discussions at the event. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “Surging into future of Artificial Intelligenceâ€. Artificial Intelligence is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Artificial Intelligence technologies April 16, 2018
ICAART 2018 10th International Conference on Agents and Artificial Intelligence The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence. January 16, 2018
Auto AI – Deep Driving Technologies for fully Automated & Cognitive Vehicles Welcome to Auto.AI 2017 - Europe's first and only event on deep driving and Level 4 automation. Exciting case studies, interactive round table discussions, Auto Scale start-up lounge, networking dinner and breakfast club. Join the 150+ attendees who have already registered. Our key topics 2017 ■Deep Driving, Machine Learning and AI ■Simulation, Testing and Validation of AI ■Computer Vision, Imaging and Perception ■Sensor Fusion, Data and AI Find out more September 28, 2017
The 2018-2023 World Outlook for Artificial Intelligence Technologies This study covers the world outlook for artificial intelligence technologies across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region, and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis-Ã -vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales September 08, 2017
Machines That Think: Everything you need to know about the coming age of artificial intelligence (New Scientist Instant Expert) Kindle Edition Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realise it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer September 07, 2017
Water and Air: Flying Fish UAAV Can Go Anywhere About two and a half years ago, Joe Moore, Eddie Tunstel, and Robert Osiander — robotics researchers in the Research and Exploratory Development Department of the Johns Hopkins Applied Physics Laboratory — had an idea: create a fixed-wing, unmanned vehicle that could autonomously operate underwater and then propel itself fast enough to make the transition into the air, becoming an autonomous flying aerial vehicle. However, little work had been done to develop such a platform, known as a fixed-wing Unmanned Aerial-Aquatic Vehicle (UAAV). To study how such a UAAV might work, they looked to one of nature's unique multi-domain creatures: the peculiar animal known as the flying fish. Their concept vehicle — now dubbed Flying Fish — became an independent research and development proposal, and eventually a working prototype. September 07, 2017
Artificial Intelligence: The Quest for the Ultimate Thinking Machine What is Artificial Intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin bases his assessment of AI on the definition of AI as a tool that is 'constructed to aid or substitute for human thought'. He explains how AI came about, the importance of the development of the computer and then examines how AI has developed over the years through the construction of computer programs and how the language used to construct these programs has become more and more sophisticated, thus allowing AI to become better and better. Along the way, you will discover numerous intriguing examples of how scientists ha September 01, 2017
Will AI Blur the Lines Between Physical and Virtual Reality? As technologies like artificial intelligence (AI), augmented and virtual reality (AR/VR), big data, 5G, and the internet of things (IoT) advance over the next generation, they will reinforce and spur one another. One plausible scenario is a physical world so enhanced by personalized, AI-curated digital content (experienced with what we today call augmented reality) that the very notion of reality is called into question. August 15, 2017
How automation and technology will change the buildings we live in Our built environment and its entire value chain are in the wake of a severe transformation. Artificial intelligence (AI), the Internet of Things, robotics and other technologies are not only responsible for the emergence of smart cities, automated processes and new business opportunities, but a change to the rules underpinning the real estate industry. August 10, 2017
Artificial intelligence will transform universities. Here’s how The most innovative AI breakthroughs, and the companies that promote them – such as DeepMind, Magic Pony, Aysadi, Wolfram Alpha and Improbable – have their origins in universities. Now AI will transform universities. We believe AI is a new scientific infrastructure for research and learning that universities will need to embrace and lead, otherwise they will become increasingly irrelevant and eventually redundant. Through their own brilliant discoveries, universities have sown the seeds of their own disruption. How they respond to this AI revolution will profoundly reshape science, innovation, education – and society itself. August 09, 2017
The Future of Artificial Intelligence: With the smooth integration of artificial intelligence into our daily lives, we are now living in the era that we used to watch in sci-fi movies. All the mesmerising inventions in those movies are “given†now, and it is getting harder to blow our minds when the self-driving and talking dream car of our childhoods “KITT -in Knight Rider†is just a “carâ€, and those futuristic video calls in “Back to the Future†became just ordinary daily calls for us. Well, we might not be “wowed†that easily nowadays, however the future of Artificial Intelligence is looking quite interesting for 2018 and the near future with the attempts to apply reinforcement learning to problems, which enables machines to model human psychology in order to make better predictions; or contesting neural networks with generative adversarial networks algorithms which requires less human supervision and enables computers to learn from unlabeled data; making them more intelligent. Let’s leave the details to Artificial Intelligence scientists and take a look at the most exciting developments in various fields that we will benefit from in the near future August 09, 2017
Generative design and the radical, skeletal new look of tomorrow One little button in a piece of CAD software is threatening to fundamentally change the way we design, as well as what the built world looks like in the near future. Inspired by evolution, generative design produces extremely strong, efficient and lightweight shapes. And boy do they look weird. Straight lines, geometric curves, solid surfaces. The constructed world as we know it is made out of them. Why? Nature rarely uses straight lines. Evolution itself is one of the toughest product tests imaginable, and you don't have a straight bone in your body, no matter how much you might like one. August 09, 2017
Intelligent Automation Chicago 2017 Transforming Business Processes, One Bot at a Time That’s where Intelligent Automation - Chicago 2017 comes in (formerly known as RPA), covering stories from varied industry sectors that relate to RPA, cognitive, and AI technologies for F&A, HR, Call Centers, and a wide array of other functional departments. July 31, 2017
Robots with better eyesight and intelligent drones Researchers in the west of Scotland have developed an artificial intelligence system that can automatically recognise different types of cars - and people. Among its many possible applications are robots with better eyesight - and drones to spot defects in buildings before they collapse. It is the result of a collaboration between the University of the West of Scotland and the French multinational electrical systems group Thales. It is based around the concept of "deep learning" which mimics the way human brains behave to create an artificial intelligence that learns on the job. July 17, 2017
3 State Transportation Agencies Turn to Smart Technologies to Save Time, Money on Road Projects Agencies in Idaho, California and Colorado are using Automated Machine Guidance, 3-D modeling and Intelligent Traffic Control Devices. July 05, 2017