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Renewable energy generation, from sources like wind and solar, is rapidly growing. However, some of the energy generated needs to be stored for when weather conditions are unfavourable for wind and sun. One promising way to do this is to save the energy in the form of hydrogen, which can be stored and transported for later use.

To do this, the renewable energy is used to split water molecules into hydrogen and oxygen, with the energy stored in the hydrogen atoms. This uses platinum catalysts to spur a reaction that splits the water molecule, which is called electrolysis. However, although platinum is an excellent catalyst for this reaction, it is expensive and rare, so minimising its use is important to reduce system cost and limit platinum extraction.

Now, in a study published this week in Nature, the team have designed and tested a catalyst that uses as little platinum as possible to produce an efficient but cost-effective platform for water splitting.


Storing renewable energy as hydrogen could soon become much easier thanks to a new catalyst based on single atoms of platinum.

As if being Earth’s largest sphere and having giant LED screens inside and out wasn’t enough, the MSG Sphere has announced its next plan to take Las Vegas to the future with robots.

Sphere Entertainment introduced the world to Aura, the world’s most advanced humanoid robot, that will permanently reside at the arena when it launches this month.

Five Aura robots are located at the venue’s grand atrium greeting guests as they enter and will be available to answer questions, according to MSG Ventures CEO David Dibble. The “spokesbots” will maintain life-like facial expressions and mobility on full display.

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.

Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront. It will be a simple and seamless experience, available in Windows 11, Microsoft 365, and in our web browser with Edge and Bing. It will work as an app or reveal itself when you need it with a right click. We will continue to add capabilities and connections to Copilot across to our most-used applications over time in service of our vision to have one experience that works across your whole life.

Copilot will begin to roll out in its early form as part of our free update to Windows 11, starting Sept. 26 — and across Bing, Edge, and Microsoft 365 Copilot this fall. We’re also announcing some exciting new experiences and devices to help you be more productive, spark your creativity, and to meet the everyday needs of people and businesses.

Still seems unsafe to me until its 100% error free, but step in correct direction at least.


Researchers have found that splitting the gene editor used in traditional CRISPR technology creates a more precise tool that can be switched on and off, with significantly less chance of causing unintended genome mutations. They say their novel tool can potentially correct around half of the mutations that cause disease.

CRISPR is one of those scientific terms that has made it into the everyday lexicon. Arguably one of the biggest discoveries of the 21st century, the gene-editing tool has revolutionized research and the treatment of genetic and non-genetic diseases. But the primary risk associated with CRISPR technology is ‘off-target edits,’ namely unexpected, unwanted, or even adverse alterations at locations in the genome other than the targeted site.

Now, researchers at Rice University have developed a new CRISPR-based gene-editing tool that’s more precise and significantly reduces the likelihood of off-target edits occurring.

Lung cancer is the leading cause of cancer-related deaths in the United States. Some tumors are extremely small and hide deep within lung tissue, making it difficult for surgeons to reach them. To address this challenge, UNC–Chapel Hill and Vanderbilt University researchers have been working on an extremely bendy but sturdy robot capable of traversing lung tissue.

Their research has reached a new milestone. In a new paper, published in Science Robotics, Ron Alterovitz, Ph.D., in the UNC Department of Computer Science, and Jason Akulian, MD MPH, in the UNC Department of Medicine, have proven that their robot can autonomously go from “Point A” to “Point B” while avoiding important structures, such as tiny airways and blood vessels, in a living laboratory model.

“This technology allows us to reach targets we can’t otherwise reach with a standard or even robotic bronchoscope,” said Dr. Akulian, co-author on the paper and Section Chief of Interventional Pulmonology and Pulmonary Oncology in the UNC Division of Pulmonary Disease and Critical Care Medicine. “It gives you that extra few centimeters or few millimeters even, which would help immensely with pursuing small targets in the lungs.”

Many of the genetic mutations that directly cause a condition, such as those responsible for cystic fibrosis and sickle-cell disease, tend to change the amino acid sequence of the protein that they encode. But researchers have observed only a few million of these single-letter ‘missense mutations’. Of the more than 70 million such mutations that can occur in the human genome, only a sliver have been linked conclusively to disease, and most seem to have no ill effect on health.

So when researchers and doctors find a missense mutation that they’ve never seen before, it can be difficult to know what to make of it. To help interpret such ‘variants of unknown significance’, researchers have developed dozens of computational tools that can predict whether a variant is likely to cause disease. AlphaMissense incorporates existing approaches to the problem, which are increasingly being addressed with machine learning.