Here is a beginner’s introduction to artificial intelligence, machine learning, and deep learning. Learn quick stats on the growth of AI, how to use and distinguish supervised learning from unsupervised learning, what is labeled data, when to use a clustering algorithm, and more.
How Neural Networks Work (From The Brain To Artificial Intelligence)
The focus of this video is on artificial neural networks, more specifically – their structure.
Can We Merge With Artificial General Intelligence? – The AGI Symbiosis
Artificial General Intelligence – Short for AGI is a trending and recent topic of debate among AI researchers and computer scientists. A pressing issue for AI or artificial Intelligence is the AI alignment problem. The AI control problem could be the most important task for humanity to solve. There have been many suggestions from AI researchers to avoid the dangers of artificial general intelligence or a digital super-intellgience. It seems among the best solutions to this problem has been a merging scenario with AGI. Elon Musk has suggested we regulate artificial intelligence and we should proceed very carefully if humanity collectively decides that creating a digital super-intelligence is the right move. Elon Musk is the founder of many high tech companies, including Neuralink. Which develops implantable brain–machine interfaces. Elon Musk warns that AI is probably the biggest existential threat for humanity. AGI is probably even more dangerous than nuclear warheads and nobody would suggest we allow anyone to build nuclear weapons if they want. The pressing issue for a potential AGI development and eventually the creation of a digital super-intelligence is going to be increasingly relevant in the coming years. Dr. Ben Goertzel, CEO & Founder, of SingularityNET Foundation, is one of the world’s foremost experts in Artificial General Intelligence. According to him these reactions are probably going to look very silly to people a few decades from now, as they go about their lives which have been made tremendously easy and happy and fascinating compared to 2020 reality, via the wide rollout of advanced AGI systems to handle manufacturing service, and all the other practical jobs that humans now spend their time doing.Elon musk suggested, the merge scenario with A.I. is the one that seems like probably the best,” or as he put it on the Joe Rogan Experience. “If you can’t beat it, join it.
What AI have MIT been creating? – BBC Click
Click heads to MIT’s CSAIL to check out its weird and wonderful robotic research, and visits Wimbledon to see how AI is set to transform the tennis tournament.
Artificial Intelligence | Future Of AI – Bill Gates, Sundar Pichai, Jack Ma | Simplilearn
Artificial Intelligence (AI) is currently the hottest buzzword in tech. We have put together the best clips on Artificial Intelligence by the most well known leaders and influencers such as Bill Gates, Tim Cook, Elon Musk, Sundar Pichai, and Jeff Bezos. AI is predicted to increase economic growth by an average of 1.7 percent across 16 industries by 2035. The report goes on to say that, by 2035, AI technologies could increase labor productivity by 40 percent or more, thereby doubling economic growth in 12 developed nations that continue to draw talented and experienced professionals to work in this domain. Let us see what our business leaders have to say about this.
Art in the age of machine intelligence
What does it look like inside the mind of a machine? Inspired by the architectural vision of a futuristic Los Angeles in “Blade Runner,” media artist Refik Anadol melds art with artificial intelligence in his studio’s collaborations with architects, data scientists, neuroscientists, musicians and more. Witness otherworldly installations that might make you rethink the future of tech and creativity.
The Dominance of Artificial General Intelligence – AGI The Final Chapter
Artificial General Intelligence – AGI might be the last invention of mankind. For better or for worse. Artificial intelligence is very beneficial to society in today’s age. AI will probably continue to be beneficial in the coming decades. However, as intelligent machines continue to improve, with the development of a true AGI or artificial general intelligence, there might be a serious threat to humanity. This issue is known as the AI control problem or the AI alignment problem. The risks involved in the process of improving intelligent systems might be intrinsic to intelligent machines that are goal-oriented. Today’s AI are known as narrow AI. They are able to beat humans in specifics tasks like chess but the same AI can not beat humans across multiple domains. At least not yet. A true artificial general intelligence might be able to solve some of the deepest secrets of nature. It might run simulations and come up with new mathematical equations and models to solve seemingly unsolvable problems in science. Such an intelligent machine might be able to cure any disease and create a wealth of sorts we’ve only seen in science fiction. It is difficult for many people to take the AI control problem seriously. Not just for the general public but also for researchers and some computer scientists who are themselves involved in the creation of tomorrow’s AI. The skeptics for this thesis do not bring forth any compelling argument why we shouldn’t be concerned about AI. To say AGI is far into the future and therefore we shouldn’t worry is a non sequitur. However long it takes to create true artificial general intelligence, if we do not destroy ourselves and continue to improve our machines, the day we will stand in the presence of an AGI will come sooner than we realize. Hopefully we will be ready.
Robots & Artificial General Intelligence – How Robotics is Paving The Way for AGI
Artificial General Intelligence or short AGI was commonly referred as Strong AI. The continues advancements in robotics are also spurring the development of AGI. Currently we only have narrow AI or weak AI. But robots are paving the way for strong AI. In the future, robots might possibly become smarter than us or at least, reach human level intelligence. The field of robotics has seen many improvements over the years, as artificial intelligence systems continue to get better. Machine intelligence is a trendy topic among computer scientists and other relevant researchers on the field. As robots continue to get better, concerns for the rise of a superintelligence or an artificial general intelligence that could have different goals from ours, is increasingly getting the attention of computer scientists and lay people alike. We have often seen works of science fiction where robots and AGI have malicious intent. However, things could go really bad fur us even if initially these intelligent machines are programmed to obey human orders and follow our values. As a machine continues to improve itself by modifying it’s own source code, it could lead to an intelligence explosion. A point of time often referred as a technological singularity. Where it becomes hard if not impossible to predict future trajectories of the AI in question. As of the year 2017, there are over 40 organizations focused on the development of AGI. As we’ve said many times before, today’s AI is narrow. However the field of robotics is accelerating the rise of AGI and we will possibly witness a truly general AI in our lifetimes.
A brief introduction to Fetch.ai | Blockchain AI | Fetch.ai
The unique infrastructure of the Fetch.ai network will optimize the world we live in. In this video we explain the real-world benefits our innovative technology will introduce.
Fetch.ai is a world-changing project, a “decentralized digital world” where autonomous software agents act on the behalf of their owners, or themselves, to get useful economic work done.
We are a dynamic, fast-growing international team of experts and forward-thinking technology enthusiasts working on the convergence of blockchain, AI and multi-agent systems. We are building technology for both today and tomorrow – a collective super-intelligence on top of decentralized economic internet built with a highly scalable next-generation distributed ledger technology. Combined with machine learning, this delivers the predictions and infrastructure to power the future economy.
Developing fascinating and promising new technology, we have a team of top class software engineers and researchers working across multiple fields (multi agent systems, machine learning, economics, cryptography).
To further improve our solutions and deploy them in real life scenarios, we also collaborate with top academics and corporate partners across the world .
We believe our technology will improve how we communicate, it will give voice and new opportunities to people, organizations and the Internet of Things, effectively democratizing the space and improving lives of citizens.
AI Show – Deep Learning vs. Machine Learning
This episode helps you compare deep learning vs. machine learning. You’ll learn how the two concepts compare and how they fit into the broader category of artificial intelligence. During this demo we will also describes how deep learning can be applied to real-world scenarios such as fraud detection, voice and facial recognition, sentiment analytics, and time series forecasting.