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Archive for the ‘robotics/AI’ category: Page 274

Oct 8, 2023

How Will A.I. Learn Next?

Posted by in category: robotics/AI

James Somers on how A.I. chatbots such as ChatGPT and Google’s Bard will continue to learn and the contradictions entailed in their mission.

Oct 8, 2023

AI: Why companies need to build algorithmic governance ahead of the law

Posted by in categories: governance, information science, law, robotics/AI

Algorithmic governance covers the rules and practices for the construction and use of algorithms embedded in AI technologies. But how should these be applied?

Oct 8, 2023

AIs accurately predicted path of Hurricane Lee a week out

Posted by in categories: climatology, physics, robotics/AI, supercomputing

To make its weather predictions, it analyzes 60 million daily observations from satellite, aircraft, and ground-based reports, using what we know about atmospheric physics to determine what the weather is likely to be like across the globe over the next 15 days.

This can literally save lives — if people know in advance that hurricanes or winter storms are heading their way, they can take action to prepare — but because the model is so complex, it must be run on a supercomputer over the course of several hours, which also makes it expensive.

The AIs: AI-based weather forecasting models are starting to catch up with traditional ones, like the European Model.

Oct 8, 2023

Is human uncertainty the key to improving AI?

Posted by in category: robotics/AI

AI systems assume humans are always certain. Teaching them to anticipate and understand uncertainty may be key to limiting human error.

Oct 8, 2023

Brain-computer interfaces could let soldiers control weapons with their thoughts

Posted by in categories: biotech/medical, robotics/AI

Imagine that a soldier has a tiny computer device injected into their bloodstream that can be guided with a magnet to specific regions of their brain. With training, the soldier could then control weapon systems thousands of miles away using their thoughts alone. Embedding a similar type of computer in a soldier’s brain could suppress their fear and anxiety, allowing them to carry out combat missions more efficiently. Going one step further, a device equipped with an artificial intelligence system could directly control a soldier’s behavior by predicting what options they would choose in their current situation.

While these examples may sound like science fiction, the science to develop neurotechnologies like these is already in development. Brain-computer interfaces, or BCI, are technologies that decode and transmit brain signals to an external device to carry out a desired action. Basically, a user would only need to think about what they want to do, and a computer would do it for them.

BCIs are currently being tested in people with severe neuromuscular disorders to help them recover everyday functions like communication and mobility. For example, patients can turn on a light switch by visualizing the action and having a BCI decode their brain signals and transmit it to the switch. Likewise, patients can focus on specific letters, words or phrases on a computer screen that a BCI can move a cursor to select.

Oct 8, 2023

Aspire #02 — Rohit Singla: Using AI to Develop New Treatments in Kidney Disease

Posted by in categories: biotech/medical, robotics/AI

Rohit Singla, an MD/PhD student, shares how his training in both medicine and engineering is allowing him to identify complex problems, understand the nuances within them and tackle those complex problems with elegant solutions that are the right fit for patients with kidney disease. Using data from over 10,000 cases, he is creating artificial intelligence tools to automatically detect microscopic changes in the kidney structure and develop new treatments to improve people’s lives.

Produced by UBC faculty of medicine development and alumni engagement.

Continue reading “Aspire #02 — Rohit Singla: Using AI to Develop New Treatments in Kidney Disease” »

Oct 8, 2023

Microsoft AI Research Division Accidentally Leaks 38TB of Internal Data

Posted by in category: robotics/AI

One misconfigured SAS token has resulted in an expansive GitHub blunder.

Oct 7, 2023

Saturday Citations: Hippo maxillofacial issues; implicit biases in the game of kings; AI masters Street Fighter

Posted by in categories: cosmology, physics, robotics/AI

They announced the Nobel prizes this week! But did any of the recipients teach an AI to play Street Fighter? Here are a few of this week’s stories not yet lauded by international committees of scientists, but which we thought were pretty good:

Even if you think a galaxy is old enough to drink, you should probably go ahead and ask for ID before you serve them. The earliest galaxies in the universe captured by the James Webb Space Telescope appeared too bright, massive and way too old to have formed that soon after the Big Bang, presenting a problem for astronomers and their favorite model, the standard model of cosmology.

Recently, a team of physicists at Northwestern University used computer simulations to model galaxy formation after the Big Bang and demonstrate that (at least in the model universe) stars formed in bursts, producing light of enormously greater intensity than a modern galaxy like, say, Andromeda, where is steady and the number of stars gradually increases over time.

Oct 7, 2023

Anogenital injury following sexual assault and consensual sexual intercourse: a systematic review and meta-analysis

Posted by in category: robotics/AI

Although AGI was significantly more likely to be detected after sexual assault than consensual sexual intercourse, more than half of survivors of sexual assault have no detectable injuries. The presence of AGI, therefore, does not prove there has been sexual violence and absence of injury does not refute that sexual assault has occurred.

The University of Birmingham.

Oct 7, 2023

Create Infinite Medical Imaging Data with Generative AI

Posted by in categories: biotech/medical, robotics/AI

#medicalAI

Generative AI for medical imaging can create infinite synthetic images of the human anatomy. These large, synthetic datasets are used for training generalizable AI models that can learn from evolving patient data while preserving patient privacy. Learn how MONAI, a framework for building and deploying medical AI, and partners like King’s College London, Mount Sinai, and East River Imaging are using generative AI to study disease and make AI decisions and predictions more accurate, trusted, and safe.

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