These types of chips push the boundaries of artificial intelligence even further.
Intelligent Machines.
Silicon Photonic Neural Network Unveiled.
We all feel overwhelmed by the speed at which new computing technologies are being thrown at us, but we haven’t seen anything yet. With the upcoming breakthroughs in Artificial Intelligence technology, today’s computers will look like prehistoric tools, within just a few years. Systems are likely to follow suit, bringing us closer to strong AI, a moment when machines will be as smart as any human being. The question many fear is what will happen if and when machines become much brighter than us? In “What’s on their mind?” system consultant Serge Van Themsche describes through an engaging discussion with his driverless car, the main AI issues any concerned citizen should know about. This conversation resorts to hard and soft disciplines to better explain AIn this book you will get to understand: — What are biological and artificial knowledge, intelligence, and self-consciousness? — Which new neuroscience evidence shows how our brain programs data coming from our senses? — How can simple formulas, such as 2 power of i −1, explain how our neurons connect? — Can emotions be computable? — Can machines already create knowledge without any human interference? — Why must the computer industry mimic as closely as possible the brain functionalities to develop intelligent androids? — Why will AI be based on a discrete world rather than a digital one? — Will humans become super beings? This book will enable every reader, with or without a scientific or philosophical background, to grasp the similarities and differences between brains and computers. By doing so, he or she will not only figure out the likely paths AI will follow but also how humans will use these new technologies to transform themselves into super beings. Even though not all readers might be looking forward to Transhumanism, the movement that apprehends these modifications, they can get prepared for this future co-existence with smart robots. In the meantime, they will at least, gain a clear understanding of how their own mind works and why they become knowledgeable, intelligent, and self-aware.
Google and Amazon are on the forefront of AI innovation. But have they already gone too far?
By John Brandon Contributing editor, Inc.com
WASHINGTON — The U.S. military got is first big taste of artificial intelligence with Project Maven. An Air Force initiative, it began more than a year ago as an experiment using machine learning algorithms developed by Google to analyze full-motion video surveillance.
The project has received high praise within military circles for giving operators in the field instant access to the type of intelligence that typically would have taken a long time for geospatial data analysts to produce.
Project Maven has whetted the military’s appetite for artificial intelligence tools. And this is creating pressure on the National Geospatial-Intelligence Agency to jump on the AI bandwagon and start delivering Maven-like products and services.
Continue reading “Artificial intelligence is changing everything, ‘We need a different mentality’” »
Future wars could be much more fierce with weapons even more powerful than nukes:
The world is progressing in many ways, but tribalism isn’t going away, so new arms races in AI, drones, bio-weapons and space weapons are already under way. Forewarned is forearmed. What sort of weaponry should we expect? I’ve discussed AI and bio approaches before on other blogs, so this one looks just at kinetic weaponry using advanced materials, coupled to EM acceleration systems.
https://carbondevices.com/2017/08/31/using-inverse-rail-guns…ce-launch/ shows a crude illustration of my invention, the inverse rail gun, which inverts the idea of using a slug on a short rail gun and uses the short rail gun to accelerate a long tape instead.
Taking the road less traveled is extremely difficult for self-driving cars. Autonomous vehicles rely on highly visible lane markings, as well as detailed 3D maps in order to navigate their environment safely. Which is why most of the major companies have eschewed testing on unmapped rural roads in favor of suburbs and cities.
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system that allows self-driving cars to drive on roads they’ve never been on before without 3D maps. Called MapLite, the system combines simple GPS data that you’d find on Google Maps with a series of sensors that observe the road conditions.
Continue reading “MIT built a self-driving car that can navigate unmapped country roads” »
Demis Hassabis, world-renowned British neuroscientist, artificial intelligence (AI) researcher and the co-founder and CEO of DeepMind, explores the groundbreaking research driving the application of AI to scientific discovery.
The talk launches the Royal Society’s 2018 series: You and AI, a collaborative effort to help people understand what machine learning and AI are, how these technologies work and the ways they may affect our lives.
