NVIDIA unveiled the next iteration of its DLSS (Deep Learning Super Sampling) technology with DLSS 5, claiming to achieve “photorealism” via a new real-time neural rendering model.
Category: robotics/AI
Communication-aware neural networks could advance edge computing
Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be processed at a centralized large data center. This approach could allow artificial intelligence (AI) models and other computational systems to perform tasks rapidly, while consuming less power.
Despite the potential of this approach, typically local devices have a limited battery capacity and restricted computing capabilities. This means they often need to send data to remote cloud servers via the internet to complete complex calculations. This transmission of information via wireless communication can consume significant amounts of energy, while also slowing down the rates of transmission.
Researchers at Nanjing University recently introduced a new approach that could potentially boost the speed of communication between edge devices and cloud servers, while also reducing energy consumption. Their proposed strategy, introduced in a paper published in Nature Electronics, relies on newly developed communication-aware in-memory wireless neural networks, new computational tools that combine computing, memory, and wireless communication into a single AI-powered system.
Novel AI semiconductor uses hydrogen ions for learning and memory
A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in implementing the world’s first two-terminal-based artificial intelligence (AI) semiconductor that precisely controls hydrogen with electrical signals to enable self-learning and memory. The team’s work appears in Advanced Science.
Whereas modern AI requires the rapid processing of vast amounts of data, the separation of computation and memory in conventional computers results in speed degradation and high power consumption. “Neuromorphic semiconductors,” which perform computation and storage simultaneously by mimicking the human brain, are gaining attention as a next-generation technology that can resolve this problem. At the heart of this semiconductor is an artificial synapse device that changes its conductivity based on electrical signals and maintains that state, and the research team focused on hydrogen as the solution.
Conventional oxide-based memory devices have primarily utilized the migration of oxygen vacancies (defects) as memory. However, this has made it difficult to ensure long-term stability and uniformity between devices. In contrast, the research team solved this problem by developing its own method to precisely control the injection and discharge of hydrogen ions (H+) using an electric field.
Mechanically activated liquid metal powder lets users draw circuits on paper
What if electronic circuits could be created simply by drawing lines with a pencil on paper or leaves—and then immediately applied to soft robots or skin-attached health monitoring devices? Korean researchers have developed an electronic materials technology that forms electrically conductive liquid metal in a fine powder form, allowing circuits to be drawn directly on a wide variety of surfaces.
This technology presents new possibilities for next-generation flexible electronics, including applications on paper and plastic as well as in soft robotic systems and wearable devices. The research was published in Advanced Functional Materials.
A research team led by Distinguished Professor Inkyu Park from the Department of Mechanical Engineering, in collaboration with Dr. Hye Jin Kim’s team at the Electronics and Telecommunications Research Institute (ETRI), has developed a liquid metal powder-based electronic material technology that allows electronic circuits to be directly drawn on desired surfaces.
Frog-cell ‘neurobots’ grow self-organized nervous systems and alter gene activity
Biobots, whose growing line of variants started with xenobots, are fascinating tiny self-powered living robots built exclusively using frog embryonic cells. Originally developed in the laboratories of Wyss Institute Associate Faculty member and Tufts University Professor Michael Levin, Ph.D. and his collaborators at University of Vermont, biobots are remarkably motile, moving autonomously through aqueous environments.
Since then, the team has shed light on many exciting properties of biobots, including their ability for kinematic self-replication, and responding to sound stimuli.
Biobots can similarly be constructed using human cells in the form of anthrobots, which have the ability to heal neural wounds in vitro. Thus, a vision emerged that biobots, made out of patients’ own cells, could one day be deployed to repair spinal cord or retinal nerve damage, clear plaques from the arteries, locally deliver pro-regenerative drugs, and perform other vital tasks in the human body.
Attention mechanism: Overview
This video introduces you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. Attention is used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.
Enroll in this course on Google Cloud Skills Boost → https://goo.gle/436ZFPR
View the Generative AI Learning path playlist → https://goo.gle/LearnGenAI
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Orbital Farms
As humanity expands into space, we’ll need new ways to grow food. Explore how orbital farms could sustain billions—on Earth, Mars, and beyond.
Checkout Scav: https://go.nebula.tv/scav?ref=isaacar… Watch my exclusive video Autonomous Space Industry: https://nebula.tv/videos/isaacarthur–… Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall… Visit our Website: http://www.isaacarthur.net Join Nebula: https://go.nebula.tv/isaacarthur Support us on Patreon: / isaacarthur Support us on Subscribestar: https://www.subscribestar.com/isaac-a… Facebook Group:
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/ discord Credits: Orbital Farms — Extended Edition Episode 471a; November 1, 2024 Produced, Narrated & Written: Isaac Arthur Graphics: Jarred Eagley Jeremy Jozwik Katie Byrne Ken York YD Visual Udo Schroeter Select imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.
Watch my exclusive video Autonomous Space Industry: https://nebula.tv/videos/isaacarthur–…
Get Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur.
Grab one of our new SFIA mugs and make your morning coffee a little more futuristic — available now on our Fourthwall store! https://isaac-arthur-shop.fourthwall…
Visit our Website: http://www.isaacarthur.net.
Join Nebula: https://go.nebula.tv/isaacarthur.
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Credits:
Orbital Farms — Extended Edition.
Episode 471a; November 1, 2024
Produced, Narrated & Written: Isaac Arthur.
Graphics:
Jarred Eagley.
Jeremy Jozwik.
Katie Byrne.
Ken York YD Visual.
Udo Schroeter.
Select imagery/video supplied by Getty Images.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator
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