Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 421

The Beijing Humanoid Robot Innovation Center has unveiled Tiangong, an electrically-driven general-purpose humanoid that’s capable of stable running at 6 km/h, while also able to tackle slopes and stairs in “blind conditions.”

The Beijing Humanoid Robot Innovation Center was set up in November last year as “the first provincial-level humanoid robot innovation center in China,” and is part of a new technology hub that’s home to more than a hundred robotics companies – coming together to form a complete industrial chain for core components, applications development and complete robot builds.

The company is a joint venture from Beijing Yizhuang Investment Holdings Limited, UBTech Robotics, Xiaomi, and Beijing Jingcheng Machinery Electric. Its aim is to “undertake five key tasks, including the development of general-purpose humanoid robot prototypes and general-purpose large-scale humanoid robot models.”

Read more | >

Tesla has released a new video of a prototype of Optimus, its humanoid robot, and it created some controversy as some disagree about how impressive it is.

Last month, Elon Musk gave an update on the timing for the rollout of Optimus. The CEO says that Optimus is already performing factory tasks inside its lab. He believes that Optimus will be used to perform real tasks inside actual Tesla factories by the end of the year.

Furthermore, Musk said that he believes Tesla could start selling its Optimus humanoid robot to customers outside of the company by the end of 2025.

Read more | >

Chemistry, with its intricate processes and vast potential for innovation, has always been a challenge for automation. Traditional computational tools, despite their advanced capabilities, often remain underutilized due to their complexity and the specialized knowledge required to operate them.

Now, researchers with the group of Philippe Schwaller at EPFL have developed ChemCrow, an AI that integrates 18 expertly designed tools, enabling it to navigate and perform tasks within chemical research with unprecedented efficiency. Their research is published in Nature Machine Intelligence.

“You might wonder why a crow?” asks Schwaller. “Because crows are known to use tools well.”

Read more | >

Popular Summary.

Most currently used quantum neural network architectures have little-to-no inductive biases, leading to trainability and generalization issues. Inspired by a similar problem, recent breakthroughs in classical machine learning address this crux by creating models encoding the symmetries of the learning task. This is materialized through the usage of equivariant neural networks whose action commutes with that of the symmetry.

In this work, we import these ideas to the quantum realm by presenting a general theoretical framework to understand, classify, design, and implement equivariant quantum neural networks. As a special implementation, we show how standard quantum convolutional neural networks (QCNN) can be generalized to group-equivariant QCNNs where both the convolutional and pooling layers are equivariant under the relevant symmetry group.

Read more | >