Focusing on precompetitive problems, such as enabling communication between digital twins, U-M and ASU are seeking industry partners for an NSF research center.
TPU is known for its impressive elasticity, wear resistance, and impact strength. These properties make it a go-to material for applications that require flexibility under pressure.
Over the past few months, Unitree G1 robot has been upgraded into a mass production version, with stronger performance, ultimate appearance, and being more in line with mass production requirements. We hope you like it.
In this episode, we explore Enhanced Geothermal Systems (EGS)—a new take on geothermal energy that uses oil drilling tech to tap deep underground heat almost anywhere, not just rare hotspots.
Injection molding is a manufacturing process that is fast, reliable and cost-effective. Its importance in the electronics industry is so high because it brings efficiency in making plastic molded parts and there is uniformity in every product
Researchers at EPFL and Kyoto University have created a stable hydrogen-rich liquid formed by mixing two simple chemicals. This breakthrough could make hydrogen storage easier, safer, and more efficient at room temperature.
Though artificial intelligence has become nearly ubiquitous, from smartphones to chatbots to self-driving cars, its impact on health care so far has been relatively low.
In a new study, researchers detail their novel approach for both detecting and controlling the motion of spins within antiferromagnets using 2D antiferromagnetic materials and tunnel junctions, which could lead to ultra-fast information transfer and communications at much higher frequencies.
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the "Alps" supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.
In order to advance the convenience of data collection for humanoid robots, we refer to other solutions to do the adaptation development and open source.