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A team of engineers at the California Institute of Technology, working with colleagues from Lawrence Livermore National Laboratory and Princeton University, has developed what they have named polycatenated architected materials (PAMs) that can be used as wireframe elements to create novel 3D structures with interesting properties. from Tech Xplore - electronic gadgets, technology advances and research news https://ift.tt/GuoFpmJ

Keeling Labs (YC W23) Is Hiring an ML Engineer for Grid-Scale Energy Storage by jackogrady | on Hacker News .

Existing computer systems have separate data processing and storage devices, making them inefficient for processing complex data like AI. A KAIST research team has developed a memristor-based integrated system similar to the way our brain processes information. It is now ready for application in various devices, including smart security cameras, allowing them to recognize suspicious activity immediately without having to rely on remote cloud servers, and medical devices with which it can help analyze health data in real time. from Tech Xplore - electronic gadgets, technology advances and research news https://ift.tt/0ARbvKB

Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping. from Tech Xplore - electronic gadgets, technology advances and research news https://ift.tt/0MJLuUx

Autonomous underwater robots, such as ocean gliders, can autonomously navigate the ocean for several weeks. Their sensors measure parameters like temperature, pressure, salinity, oxygen concentration, and currents. Capable of diving to depths of up to 1,000 meters, they facilitate measurements that are challenging to achieve with research vessels. from Tech Xplore - electronic gadgets, technology advances and research news https://ift.tt/vJebmxE

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential data, such as tracking patterns over time or analyzing sequences. It is widely used in areas such as finance, robotics, speech recognition, weather forecasting, natural language processing, and predicting complex nonlinear dynamical systems. What sets RC apart is its efficiency―it delivers powerful results with much lower training costs compared to other methods. from Tech Xplore - electronic gadgets, technology advances and research news https://ift.tt/wMbhDFe