This video is the sixth in a multi-part series discussing computing. In this video, we’ll be discussing the rise of GPU computing and the role it will play in AI computational tasks.
Artificial Intelligence | March of the Machines | Documentary | Robots | Robotics | AI | Economy
The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intellligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.
The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.
How Artificial Intelligence is Making LAWs – They’re Not What You Think!
Artificial Intelligence or AI is transforming our society and impacting our day to day lives in many areas. AI and automation in general will probably continue to improve and change our way of living in many ways. But the challenges with artificial intelligence systems are unique, and the risks involved in AI cannot be overstated. One such pressing issue that is already manifesting itself today, is the use of artificial intelligence in the creation of LAWs… And they are not what you may think!
In the context of AI, LAWs, stands short for Lethal Autonomous Weapons. It is rather an unfortunate and confusing acronym but also goes by with many not so popular names such as: Robotic weapons, autonomous weapon systems, killer robots, slaughter-bots, etc. They are autonomous military systems that can independently search for and engage targets without human intervention.
In the history of military warfare, the invention of gun powder is considered to be the first revolution. Nuclear weapons are considered to be the second revolution. And autonomous weapons may very well be the third revolution.
LAWs may operate in the air…On land….On water…Under water….And even in space. The Pentagon wants to invest close to $1 billion in AI and machine learning, including $268 million for the new Joint Artificial Intelligence Center for AI tools. With the development of AI systems, drones that can autonomously find and eliminate a targeted individual are only years away not decades. Artificial Intelligence systems for drone technology are improving rapidly. At this point, the issue is not with hardware but with software, meaning how fast new AI algorithms can be developed and be implemented for certain military purposes.
A Quadcopter for example does not have to be equipped with a heavy machine gun to engage its target. A drone geared with a pocket pistol sized gun targeting vulnerable parts of the human body such as the eye-balls, could be and will be probably used for assassinations.
We’re about to enter a new age of Artificial Intelligence technology where high profile individuals’ security, will be increasingly at risk from multiple simultaneous autonomous drone attacks.
What Is Deep Learning (The Rise of Artificial Intelligence)
Deep learning is a sub-field of AI that has taken the world by storm, in large part, since the start of this decade. In this sixth video in my artificial intelligence series and as for the purpose of this deep learning series, we’ll explore why it has exploded in popularity, how deep learning systems work and their future applications, so sit back, relax and join me on an exploration into the field of deep learning!
Supercapacitors explained – the future of energy storage?
Some believe that supercapacitors might be integrated into future EVs. But, what exactly is a supercapacitor? And what makes them so different from batteries? Are they really the future of energy storage?
Introduction to Machine Learning: Part One
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.
The Tiny Guide to Nanotechnology
What’s the tiniest technology you can imagine? As small as a grain of rice? Or a grain of sand? Perhaps the width of an individual strand of spider web? Smaller still. Nanotechnology is so small, in fact, it is narrower than a single wavelength of visible light. To put that in perspective, it’s about the length your fingernails have grown since you started reading this overview. But when we talk about nanotechnology, we don’t mean anything with a circuit board, but the application of scientific knowledge for practical purposes. By utilising carbon nanotubes in a certain way, it’s possible to create tiny computer chips. With tiny chips come tiny computers and tiny robots. And with tiny robots – or nanobots, if you will – a whole world of possibilities opens up… 3D printers, invisibility cloaks, space elevators – you name it! Of course, with all exciting, experimental and potentially disruptive innovations come areas for concern. What impact could such technology have on our security, or the economy? How can it be regulated? Find out more in the latest video from iluli by Mike Lamb. Making sense of technology, one byte at a time.
What is the difference between Utility Tokens vs Security Tokens
Utility tokens provide users with access to a product or service with no expectation of profit and are unregulated. Security tokens are used as an investment and are regulated by the SEC.
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.