Meta researchers believe that self-supervised learning is a necessary prerequisite for AI systems that can build “world models” and can therefore begin to gain human-like faculties such as reason, common sense, and the ability to transfer skills and knowledge from one context to another.
In the quest for human-level intelligent AI, Meta is betting on self-supervised learning.
Artificial Intelligence is outgrowing the current pace of Hardware Improvements and requires a new kind of technology to keep up and enable future AI Applications. Scientists seem to have found that creating artificial brains out of nanowire can mimic the human brain and power the biggest and smartest AI models ever made at relatively low energy consumption.
Today’s deep neural networks already mimic one aspect of the brain: its highly interconnected network of neurons. But artificial neurons behave very differently than biological ones, as they only carry out computations. In the brain, neurons are also able to remember their previous activity, which then influences their future behavior. This in-built memory is a crucial aspect of how the brain processes information, and a major strand in neuromorphic engineering focuses on trying to recreate this functionality. This has resulted in a wide range of designs for so-called “memristors”: electrical components whose response depends on the previous signals they have been exposed to.
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TIMESTAMPS:
00:00 A New Paradigm in AI Computing.
01:36 How this Artificial Brain works.
04:14 What this new Technology will enable.
06:38 Last Words.
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#brains #ai #nanowire
Hear from NVIDIA CEO Jensen Huang, @Siemens CEO Roland Busch, and @BMW AG board member Milan Nedeljković as they discuss the next stage of industrial automation. Learn how groundbreaking technologies like Siemens Xcelerator and @NVIDIA Omniverse enable companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins.
Deep dive into the announcements at https://nvda.ws/3npbpdJ.
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Microsoft is warning that toll fraud malware is one of the most prevalent threats on Android and that it is evolving with features that allow automatic subscription to premium services.
Toll fraud is a subset of billing fraud, where the threat actor tricks victims into calling or sending an SMS to a premium number.
The difference is that toll fraud does not work over WiFi and forces the devices to connect to the mobile operator’s network.
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Future battlefields will employ ever-more technology, whether that battlefield is on earth, in the sea, in space, or in cyberspace. Today we will examine the roles robots, drones, artificial intelligence, armored suits, and nanotech may play in the future of war.
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Credits:
The Next Century of War.
Science & Futurism with Isaac Arthur.
Episode 280; March 4, 2021
Produced & narrated by isaac arthur.
Written by:
An Interview with COO Dijam Panigrahi.
“a unified and shared software infrastructure to empower enterprise customers to build and run scalable, high-quality eXtended Reality (XR) – Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) – applications in public, private, and hybrid clouds.”
What does that all mean?
Simply, GridRaster creates spatial, high-fidelity maps of three-dimensional physical objects. So if you plan to build an automobile or aircraft, use the software to capture an image and create a detailed mesh model overlay that can be viewed using a VR headset. The mesh model can be shared with robots and other devices.
The fundamental rotation of micro and nano-objects is crucial for the functionality of micro and nanorobotics, as well as three-dimensional imaging and lab-on-a-chip systems. These optical rotation methods can function fuel-free and remotely, and are therefore better suited for experiments, while current methods require laser beams with designed intensity profiles or objects with sophisticated shapes. These requirements are challenging for simpler optical setups with light-driven rotation of a variety of objects, including biological cells.
In a new report now published in Science Advances, Hongru Ding and a research team in engineering and materials science at the University of Texas at Austin, U.S., developed a universal approach for the out-of-plane rotation of various objects based on an arbitrary low-power laser beam. The scientists positioned the laser source away from the objects to reduce optical damage from direct illumination and combined the rotation mechanism via optothermal coupling with rigorous experiments, coupled to multiscale simulations. The general applicability and biocompatibility of the universal light-driven rotation platform is instrumental for a range of engineering and scientific applications.
Advances in machine learning and artificial intelligence have sparked interest from governments that would like to use these tools for predictive policing to deter crime. Early efforts at crime prediction have been controversial, however, because they do not account for systemic biases in police enf…