Nvidia omniverse to predict an alternate future of the world by forecasting productivity with AI, FIFA integrates full body tracking AI to help referees make calls, and new Meta AI translates 200 languages with highest degree of accuracy.
AI News Timestamps: 0:00 Nvidia Omniverse AI Predicts Alternate Future of The World. 3:01 FIFA Uses Full Body Tracking AI 4:05 Meta AI Translates 200 Languages.
Unfortunately my internet link went down in the second Q&A session at the end and the recording cut off. Shame, loads of great information came out about FPGA/ASIC implementations, AI for the VR/AR, C/C++ and a whole load of other riveting and most interesting techie stuff. But thankfully the main part of the talk was recorded.
TALK OVERVIEW This talk is about the realization of the ideas behind the Fractal Brain theory and the unifying theory of life and intelligence discussed in the last Zoom talk, in the form of useful technology. The Startup at the End of Time will be the vehicle for the development and commercialization of a new generation of artificial intelligence (AI) and machine learning (ML) algorithms.
We will show in detail how the theoretical fractal brain/genome ideas lead to a whole new way of doing AI and ML that overcomes most of the central limitations of and problems associated with existing approaches. A compelling feature of this approach is that it is based on how neurons and brains actually work, unlike existing artificial neural networks, which though making sensational headlines are impeded by severe limitations and which are based on an out of date understanding of neurons form about 70 years ago. We hope to convince you that this new approach, really is the path to true AI.
In the last Zoom talk, we discussed a great unifying of scientific ideas relating to life & brain/mind science through the application of the mathematical idea of symmetry. In turn the same symmetry approach leads to a unifying of a mass of ideas relating to computer and information science. There’s been talk in recent years of a ‘master algorithm’ of machine learning and AI. We’ll explain that it goes far deeper than that and show how there exists a way of unifying into a single algorithm, the most important fundamental algorithms in use in the world today, which relate to data compression, databases, search engines and also existing AI/ML. Furthermore and importantly this algorithm is completely fractal or scale invariant. The same algorithm which is able to perform all these functionalities is able to run on a micro-controller unit (MCU), mobile phone, laptop and workstation, going right up to a supercomputer.
The application and utility of this new technology is endless. We will discuss the road map by which the sort of theoretical ideas I’ve been discussing in the Zoom, academic and public talks over the past few years, and which I’ve written about in the Fractal Brain Theory book, will become practical technology. And how the Java/C/C++ code running my workstation and mobile phones will become products and services.
According to Big Bang Theory, About 13.7 billion years ago, our entire universe existed as a singularity. It is really Difficult to imagine, how all the matter in the universe and space itself, existed in a form smaller than a subatomic particle. But here, even more difficult question suddenly arises: What existed before the big bang? Actually it doesn’t make any sense to ask, what happened before the big bang, as it is believed that time itself did not exist before the big bang!!! Space and time both were created after the big bang. It is something like asking, what part of earth is north of the north pole. The north Pole is the most northern point on earth and so there is nowhere north of it. But there is also possibility that something was there before the Big Bang happened According to the “the big Bounce” theory, our universe is the recycled result of another universe, that dies and. collapses in on itself. This collapsing universe would come back to a singularity before bouncing back out. It results in the big bang and a brand-new universe is again created. But there is a problem with the big Bounce theory. Actually according to current observations, our universe is constantly expanding faster than ever before. But the big Bounce theory requires the universe to be contracted so that it can reach at the stage of singularity. Another Possibility is of the parallel universe. According to this theory our universe is not the only Universe that exists. it is one of many universes in the Grand multiverse. According to some scientists it may also be possible, our universe is at the other end of a black hole called a white hole. A White hole has properties just opposite to that of the black hole. In general relativity, a white hole is a hypothetical region of spacetime which cannot be entered from the outside, although matter and light can escape from it. In this sense it is the reverse of a black hole, which can only be entered from the outside from which matter and light cannot escape. Unlike black holes, white holes spew material into space rather than sucking material in. All that we have discussed here, are the possibilities, what existed before the big bang. Actually we don’t really know, what really caused the big bang and what was present before it. Was there no space and time before Big Bang is also a mystery.
Synopsis: The arrival of homo sapiens on Earth amounted to a singularity for its ecosystems, a transition that dramatically changed the distribution and interaction of living species within a relatively short amount of time. Such transitions are not unprecedented during the evolution of life, but machine intelligence represents a new phenomenon: for the first time, there are agents on earth that are not part of the biosphere. Instead of competing for a niche in the ecosystems of living systems, AI might compete with life itself.
How can we understand agency in the context of the cooperation and competition between AI, humans and other organisms?
This talk was part of the ‘Stepping Into the Future‘conference.
Bio: Joscha Bach, Ph.D. is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. He earned his Ph.D. in cognitive science from the University of Osnabrück, Germany, and has built computational models of motivated decision making, perception, categorization, and concept-formation. He is especially interested in the philosophy of AI and in the augmentation of the human mind.
Joscha has taught computer science, AI, and cognitive science at the Humboldt-University of Berlin and the Institute for Cognitive Science at Osnabrück.
His book “Principles of Synthetic Intelligence – PSI: An Architecture of Motivated Cognition” (Oxford University Press) is available on amazon.
AI News includes a breakthrough in brain computer interface tech that allows brain to brain communication between two operators, a modular, stackable AI chip for edge computing and consumers, and a spiking neuron array to allow robots to sense size, temperature, and weights when touching objects.
AI News Timestamps: 0:00 BCI Enables Brain-To-Brain Communication. 2:58 Edge Computing Modular AI Chip. 6:10 Robot Touch For Size, Temperature, & Weights.
Abstract: Superintelligence, the next phase beyond today’s narrow AI and tomorrow’s AGI, almost intrinsically evades our attempts at detailed comprehension. Yet very different perspectives on superintelligence exist today and have concrete influence on thinking about matters ranging from AGI architectures to technology regulation. One paradigm considers superintelligences as resembling modern deep reinforcement learning systems, obsessively concerned with optimizing particular goal functions. Another considers superintelligences as open-ended, complex evolving systems, ongoingly balancing drives. toward individuation and radical self-transcendence in a paraconsistent way. In this talk I will argue that the open-ended conception of superintelligence is both more desirable and more realistic, and will discuss how concrete work being done today on projects like OpenCog Hyperon, SingularityNET and Hypercycle potentially paves the way for a path through beneficial decentralized integrative AGI and on to open-ended superintelligence and ultimately the Singularity.
Bio: In May 2007, Goertzel spoke at a Google tech talk about his approach to creating artificial general intelligence. He defines intelligence as the ability to detect patterns in the world and in the agent itself, measurable in terms of emergent behavior of “achieving complex goals in complex environments”. A “baby-like” artificial intelligence is initialized, then trained as an agent in a simulated or virtual world such as Second Life to produce a more powerful intelligence. Knowledge is represented in a network whose nodes and links carry probabilistic truth values as well as “attention values”, with the attention values resembling the weights in a neural network. Several algorithms operate on this network, the central one being a combination of a probabilistic inference engine and a custom version of evolutionary programming.
New artificial skin for bionic arm or AI robot | breakthrough photonic chip processes 2 billion images per second without memory device.
AI news includes new artificial skin to let AI robot, bionic arm or prosthetic limb feel with extreme touch sensitivity. New photonic chip allows AI to process and classify 2 billion images per second without needing storage device.
AI News Timestamps: 0:00 AI Robot Artificial Skin For Bionic Arm. 3:28 Photonic Chip Processes 2 Billion Images / Second.
Jesper AndersonNo. Nobody can “leave their body”. There is no evidence what so ever that this is possible.
What can be done is, copy many of your attributes and create a copy which behaves very much like you. But that’s simply an advanced method of writing a book. I… See more.
Craig Everett JonesAlthough neurons are much like transistors, our emotions are not just ones and zeroes. We feel things in our gut. I think singularity fans are grossly underestimating the dependencies between human consciousness and organic physiology. And, your b… See more.
Experts believe AGI will occur around 2050, and plausibly sooner. You can see above their estimates regarding specific AI achievements: passing the Turing test, passing third grade, accomplishing Nobel worthy scientific breakthroughs and achieving superhuman intelligence.
An international team which includes University of Manchester scientists has for the first time demonstrated that nerve signals are exchanged between clogged up arteries and the brain.
The discovery of the previously unknown electrical circuit is a breakthrough in our understanding of atherosclerosis, a potentially deadly disease where plaques form on the innermost layer of arteries.
The study of mice found that new nerve bundles are formed on the outer layer of where the artery is diseased, so the brain can detect where the damage is and communicate with it.
