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NovaSignal’s AI-Guided Robotic Platform Aims To Change The Diagnosis Of Stroke

Los Angeles-based NovaSignal Inc. recently launched the second version of their artificial intelligence (AI)-a guided robotic platform for assessing cerebral blood flow in order to guide real-time diagnosis. The platform uses ultrasound to autonomously capture blood flow data, which then gets sent to their HIPAA-compliant cloud system so that clinicians can access the exam data from anywhere on their personal devices.

Founded in 2,013 the company states they have raised over… See more.


Los Angeles based NovaSignal Inc. recently launched a second version of their artificial intelligence (AI)-guided robotic platform for assessing cerebral blood flow in order to guide real-time diagnosis. The platform uses ultrasound to autonomously capture blood flow data, which then gets sent to their HIPAA-compliant cloud system so that clinicians can access the exam data from anywhere on their personal devices.

Founded in 2,013 the company states they have raised over $25 million in federal research funding and hold 18 patents. They also have over 130 peer-reviewed citations to their work. NovaSignal’s products are FDA-cleared in the United States, CE-marked in Europe, and licensed in Canada.

Custom SpaceX Crane Arrives to Starbase | SpaceX Boca Chica

A Liebherr LR 11,000 painted in a black and white SpaceX livery, was delivered to the launch site and assembled. Meanwhile, crews continue to work on the Chopsticks and more beams for the Wide Bay were lifted.

Video and Pictures from Mary (@BocaChicaGal) and the NSF Robots. Edited by Patrick Colquhoun (@Patrick_Colqu).

All content copyright to NSF. Not to be used elsewhere without explicit permission from NSF.

Click “Join” for access to early fast turnaround clips, exclusive discord access with the NSF team, etc — to support the channel.

Rolling Updates and Discussion: https://forum.nasaspaceflight.com/index.php?board=72.

Articles: https://www.nasaspaceflight.com/?s=Starship.

‘Yeah, we’re spooked’: AI starting to have big real-world impact, says expert

A scientist who wrote a leading textbook on artificial intelligence has said experts are “spooked” by their own success in the field, comparing the advance of AI to the development of the atom bomb.

Prof Stuart Russell, the founder of the Center for Human-Compatible Artificial Intelligence at the University of California, Berkeley, said most experts believed that machines more intelligent than humans would be developed this century, and he called for international treaties to regulate the development of the technology.

AI Generates Hypotheses Human Scientists Have Not Thought Of

I wonder how general this is. Interesting application of AI.


Electric vehicles have the potential to substantially reduce carbon emissions, but car companies are running out of materials to make batteries. One crucial component, nickel, is projected to cause supply shortages as early as the end of this year. Scientists recently discovered four new materials that could potentially help—and what may be even more intriguing is how they found these materials: the researchers relied on artificial intelligence to pick out useful chemicals from a list of more than 300 options. And they are not the only humans turning to A.I. for scientific inspiration.

Creating hypotheses has long been a purely human domain. Now, though, scientists are beginning to ask machine learning to produce original insights. They are designing neural networks (a type of machine-learning setup with a structure inspired by the human brain) that suggest new hypotheses based on patterns the networks find in data instead of relying on human assumptions. Many fields may soon turn to the muse of machine learning in an attempt to speed up the scientific process and reduce human biases.

In the case of new battery materials, scientists pursuing such tasks have typically relied on database search tools, modeling and their own intuition about chemicals to pick out useful compounds. Instead a team at the University of Liverpool in England used machine learning to streamline the creative process. The researchers developed a neural network that ranked chemical combinations by how likely they were to result in a useful new material. Then the scientists used these rankings to guide their experiments in the laboratory. They identified four promising candidates for battery materials without having to test everything on their list, saving them months of trial and error.

A Startup Is Creating Digital Human Servants to Work in the Metaverse

While the metaverse might seem like a far off dream, more fit for the pages of a Neal Stephenson novel than reality, some are already attempting to cash in the concept — and even provide a digital workforce for it.

Enter Soul Machines 0 a New Zealand-based company that says it’s designing AI-driven digital humans for clients to use for things like customer service, promotional videos, and education. However, the company also has its sights set on the future — with co-founder Greg Cross saying it plans to create a “digital workforce” for a potential metaverse, according to The Verge.

“When we’re playing a game, we adopt a certain persona or personality, when we’re coaching our kids’ football team we adopt another persona, we have a different personality when we’re at the pub having a beer with our mates,” Cross told the Verge. “As human beings, we’re always adjusting our persona and the role we have within those parameters. With digital people, we can create those constructs.”

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