Lifeboat Foundation

Amid the ongoing SAG strike, Tom Hanks has issued a warning about an AI version of him being used in a dental ad without his consent.

Annika Hauptvogel, head of technology and innovation management at Siemens, describes the industrial metaverse as “immersive, making users feel as if they’re in a real environment; collaborative in real time; open enough for different applications to seamlessly interact; and trusted by the individuals and businesses that participate”—far more than simply a digital world.

The industrial metaverse will revolutionize the way work is done, but it will also unlock significant new value for business and societies. By allowing businesses to model, prototype, and test dozens, hundreds, or millions of design iterations in real time and in an immersive, physics-based environment before committing physical and human resources to a project, industrial metaverse tools will usher in a new era of solving real-world problems digitally.

“The real world is very messy, noisy, and sometimes hard to really understand,” says Danny Lange, senior vice president of artificial intelligence at Unity Technologies, a leading platform for creating and growing real-time 3D content. “The idea of the industrial metaverse is to create a cleaner connection between the real world and the virtual world, because the virtual world is so much easier and cheaper to work with.”

Tap through to read how, for almost 30 years, a world-leading gait analysis laboratory at The Royal Children’s Hospital, Melbourne has helped children with cerebral palsy receive life-changing treatments → unimelb.me/45ez4RT

For almost 30 years, a world-leading gait analysis laboratory at The Royal Children’s Hospital in Melbourne has helped children with cerebral palsy receive life-changing treatments.

When Professor Kerr Graham arrived in Australia to introduce gait analysis technology to help manage children with cerebral palsy, some medical professionals were sceptical. An accomplished orthopaedic surgeon who had trained in Ireland, London and Toronto, Professor Graham had witnessed firsthand the dramatic potential of gait analysis to improve the lives of children with cerebral palsy.

Continue reading “Helping children with cerebral palsy put their best foot forward” »

All medical breakthroughs have to start somewhere, and Intellia Therapeutics is ready to show the world the first-in-human gene editing data that could be the start of a | Interim results are in for Intellia and partner Regeneron’s in vivo CRISPR/Cas9 genome editing candidate, NTLA-2001, in patients with transthyretin (ATTR) amyloidosis: and the numbers look good. This is the first time gene editing has been proven to work in humans, which “opens up a whole new area of therapies for patients that wasn’t there.”

Scientists have discovered new insights into how our brain stores episodic memories—a type of long-term, conscious memory of a previous experience—that could be critical to the development of new neuroprosthetic devices to help patients with memory problems, like Alzheimer’s disease and dementia.

The new study—led by the University of Glasgow, in collaboration with the University of Birmingham and University of Erlangen—used special electrodes, implanted directly into the brains of epilepsy patients requiring surgery, to allow scientists to observe the activity of individual neurons in the hippocampus region of the brain.

The hippocampus is a challenging area to study, due to its location deep within the brain, yet this area is critical for our memory, acting as the librarian to the memory library in our brain.

Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics. They also found that classical training algorithms that date back 50 years work better than the more recently popular techniques. Their simpler approach advances green IT and is easier to use and understand.

The recent success of artificial intelligence is significantly based on the use of one core technique: deep learning. Deep learning refers to artificial intelligence techniques where networks with a large number of data processing layers are trained using massive datasets and a substantial amount of computational resources.

Deep learning enables computers to perform complex tasks such as analyzing and generating images and music, playing digitized games and, most recently in connection with ChatGPT and other generative AI techniques, acting as a natural language conversational agent that provides high-quality summaries of existing knowledge.

Modular forms are one of the most beautiful and mysterious objects in mathematics. What are they?

It was already on the way out due to cost. AI just sped it all up.

In an AI world, job applicants’ actual skill sets will matter more than diplomas, LinkedIn says.

NASA will begin a new RS-25 test series Oct. 5, the final round of certification testing ahead of production of an updated set of the engines for the SLS (Space Launch System) rocket. The engines will help power future Artemis missions to the Moon and beyond.

A series of 12 tests stretching into 2024 is scheduled to occur on the Fred Haise Test Stand at NASA’s Stennis Space Center near Bay St. Louis, Mississippi. The tests are a key step for lead SLS engines contractor Aerojet Rocketdyne, an L3Harris Technologies company, to produce engines that will help power the SLS rocket, beginning with Artemis V.

“NASA and our industry partners continue to make steady progress toward restarting production of the RS-25 engines for the first time since the space shuttle era as we prepare for our more ambitious missions to deep space under Artemis with the SLS rocket,” said Johnny Heflin, liquid engines manager for SLS at NASA’s Marshall Space Flight Center in Huntsville, Alabama. “The upcoming fall test series builds off previous hot fire testing already conducted at NASA Stennis to help certify a new design that will make this storied spaceflight engine even more powerful.”