View pictures in App save up to 80% data. An illustration of tiny wedge-shaped robots – collectively known as Sensing With Independent Micro-Swimmers (SWIM) – deployed into the ocean miles below a lander on the frozen surface of an ocean world data-image-width=982 data-image-height=726 An illustration of tiny wedge-shaped robots – collectively known as Sensing With Independent Micro-Swimmers (SWIM) – deployed into the ocean miles below a lander on the frozen surface of an ocean world NASA has unveiled a plan to unleash swarms of cellphone-sized robots to hunt for alien life on other planets.
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In the future, a woman with a spinal cord injury could make a full recovery; a baby with a weak heart could pump his own blood. How close are we today to the bold promise of bionics—and could this technology be used to improve normal human functions, as well as to repair us? Join Bill Blakemore, John Donoghue, Jennifer French, Joseph J. Fins, and P. Hunter Peckham at “Better, Stronger, Faster,” part of the Big Ideas Series, as they explore the unfolding future of embedded technology.
This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation.
Visit our Website: http://www.worldsciencefestival.com/ Like us on Facebook: https://www.facebook.com/worldscience… us on twitter: https://twitter.com/WorldSciFest Original Program date: May 31, 2014 Host: Bill Blakemore Participants: John Donoghue, Jennifer French, Joseph J. Fins, P. Hunter Peckham Re-engineering the anatomy of the “Vitruvian Man” 00:00 Bill Blakemore’s Introduction. 2:06 Participant introductions. 4:27 What is FES? (Functional Electrical Stimulation) 6:06 A demonstration with FES and without. 10:06 How did you test FES systems? 14:16 Jen French the first bionic pioneer. 16:40 What was the journey like from injury to today? 18:35 A live demonstration of FES. 20:40 What is BrainGate? 27:55 What is the potential for this technology? 37:00 When will this technology be publicly available? 40:50 A cell phone app to drink water or stand up? 44:55 Jen French would be the first to try new technology. 50:39 What is the history of altering the human brain? 1:00:57 The move from chemical to electrical medical care. 1:05:40 The challenge of what is going to drive the delivery of care to groups in need. 1:11:36 Can these devices be implanted without surgery? 1:18:13 What field needs the most funding for this to become available to everyone? 1:19:40 What are the numbers of people who can use this technology? 1:23:44 Why can’t we use stem cells to reconnect human spinal tissue? 1:25:37 What is the collaboration level between institutions? 1:29:16 How far away are we from using brain waves to control objects and communicate with each other? 1:30:20 Follow us on twitter: https://twitter.com/WorldSciFest.
Original Program date: May 31, 2014 Host: Bill Blakemore. Participants: John Donoghue, Jennifer French, Joseph J. Fins, P. Hunter Peckham.
Re-engineering the anatomy of the “Vitruvian Man” 00:00.
Transistors are the building blocks of modern electronics, used in everything from televisions to laptops. As transistors have gotten smaller and more compact, so have electronics, which is why your cell phone is a super powerful computer that fits in the palm of your hand.
But there’s a scaling problem: Transistors are now so small that they are difficult to turn off. A key device element is the channel that charge carriers (such as electrons) travel across between electrodes. If that channel gets too short, quantum effects allow electrons to effectively jump from one side to another even when they shouldn’t.
One way to get past this sizing roadblock is to use layers of 2D materials—which are only a single atom thick—as the channel. Atomically thin channels can help enable even smaller transistors by making it harder for the electrons to jump between electrodes. One well-known example of a 2D material is graphene, whose discoverers won the Nobel Prize in Physics in 2010. But there are other 2D materials, and many believe they are the future of transistors, with the promise of scaling channel thickness down from its current 3D limit of a few nanometers (nm, billionths of a meter) to less than a single nanometer thickness.
Get a year of Nebula and Curiosity Stream for only $14.79 when you sign up at http://www.curiositystream.com/joescott. We’ve been hearing about the potential of graphene for decades, and yet very few of the big promises have come to pass. But a new aluminum graphene battery design is coming out this year that could charge a phone in less than a minute, and it may be the future of energy storage.
Artificial Intelligence trained with first-person videos could better understand our world. At Meta, AR and AI development intersect in this space.
In the run-up to the CVPR 2022 computer vision conference, Meta is releasing the “Project Aria Pilot Dataset,” with more than seven hours of first-person videos spread across 159 sequences in five different locations in the United States. They show scenes from everyday life – doing the dishes, opening a door, cooking, or using a smartphone in the living room.
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.
From there, they ran flight tests using a specially designed motion-tracking system. Each electroluminescent actuator served as an active marker that could be tracked using iPhone cameras. The cameras detect each light color, and a computer program they developed tracks the position and attitude of the robots to within 2 millimeters of state-of-the-art infrared motion capture systems.
“We are very proud of how good the tracking result is, compared to the state-of-the-art. We were using cheap hardware, compared to the tens of thousands of dollars these large motion-tracking systems cost, and the tracking results were very close,” Kevin Chen says.
In the future, they plan to enhance that motion tracking system so it can track robots in real-time. The team is working to incorporate control signals so the robots could turn their light on and off during flight and communicate more like real fireflies. They are also studying how electroluminescence could even improve some properties of these soft artificial muscles, Kevin Chen says.
Scientists at the Institute of Applied Physics at TU Dresden have come a step closer to the vision of a broad application of flexible, printable electronics. The team around Dr. Hans Kleemann has succeeded for the first time in developing powerful vertical organic transistors with two independent control electrodes. The results have recently been published in the renowned online journal Nature Communications.
High-definition roll-up televisions or foldable smartphones may soon no longer be unaffordable luxury goods that can be admired at international electronics trade fairs. High-performance organic transistors are a key necessity for the mechanically flexible electronic circuits required for these applications. However, conventional horizontal organic thin-film transistors are very slow due to the hopping-transport in organic semiconductors, so they cannot be used for applications requiring high frequencies. Especially for logic circuits with low power consumption, such as those used for Radio Frequency Identification (RFID), it is mandatory to develop transistors enabling high operation frequency as well as adjustable device characteristics (i.e., threshold-voltage). The research group Organic Devices and Systems (ODS) at the Dresden Integrated Center for Applied Photophysics (IAPP) of the Institute of Applied Physics headed by Dr.
