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Artificial Intelligence in Brain Tumour Surgery—An Emerging Paradigm

Artificial intelligence (AI) is the branch of computer science that enables machines to learn, reason, and problem solve. In recent decades, AI has been developed with the aim of improving the management of patients with brain tumours. This review article explores the role AI currently plays in managing patients undergoing brain tumour surgery, and explores how AI may impact this field in the future.

Artificial intelligence (AI) platforms have the potential to cause a paradigm shift in brain tumour surgery. Brain tumour surgery augmented with AI can result in safer and more effective treatment. In this review article, we explore the current and future role of AI in patients undergoing brain tumour surgery, including aiding diagnosis, optimising the surgical plan, providing support during the operation, and better predicting the prognosis. Finally, we discuss barriers to the successful clinical implementation, the ethical concerns, and we provide our perspective on how the field could be advanced.

Keywords: artificial intelligence, AI, neurosurgery, brain tumour, machine learning, deep learning, surgery, oncology.

Hauser PI on $1.2 million grant to expand and refine robotic eye examination system

A collaboration between researchers at the University of Illinois Urbana-Champaign and Duke University has developed a robotic eye examination system, and the National Institutes of Health has awarded the researchers $1.2 million to expand and refine the system.

The researchers have developed a robotic system that automatically positions examination sensors to scan human eyes. It currently uses an optical scan technique which can operate from a reasonably safe distance from the eye, and now the researchers are working to add more features that will help it perform most steps of a standard eye exam. These features will require the system to operate in closer proximity to the eye.

“Instead of having to spend time in a doctor’s office going through the manual steps of routine examinations, a robotic system can do this automatically,” said Kris Hauser, a U. of I. computer science professor and the study’s principal investigator. “This would mean faster and more widespread screening leading to better health outcomes for more people. But to achieve this, we need to develop safer and more reliable controls, and this award allows us to do just that.”

Tesla releases update on Optimus robot with video looking like CGI

Tesla has released an update with progress on its Optimus humanoid robot with a video that almost looks like CGI.

Optimus, also known as Tesla Bot, has not been taken seriously by many outside of the more hardcore Tesla fans, and for good reasons.

When it was first announced, it seemed to be a half-baked idea from CEO Elon Musk with a dancer disguised as a robot for visual aid. It also didn’t help that the demo at Tesla AI Day last year was less than impressive.

Tesla’s MIND-BLOWING FSD V.12 Elon Musk Demo | Self-Driving Tesla

Teslas full-self driving Version 12 has just shocked the World. Elon Musk live-streamed it’s capabilities for the first time, and detailed how it now operates compared to previous versions of Teslas FSD. This really is a mind-blowing moment for Tesla, Tesla owners, and the future of Autonomous Cars.

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Rollout of driverless cabs in select U.S. cities raises safety questions

Ali Rogin:

With the cost of owning a car out of reach for many today ride sharing gives commuters an alternative. And a handful of U.S. cities, self-driving taxis are getting the green light to pick up passengers. Several companies including Waymo Cruise and Motional are touting driverless taxis as the way of the future.

But the rollout of these robo cabs has hit some speed bumps. Not everyone is comfortable with autonomous cars on the road. And major technical questions remain. Aarian Marshall is a staff writer for WIRED, and she covers transportation. Aarian, thank you so much for joining us.

How artificial intelligence could help us talk to animals

Beguš is a linguist at the University of California, Berkeley. He got the chance, last summer, to observe sperm whales in their wild Caribbean habitat off the coast of the island nation of Dominica. With him were marine biologists and roboticists. There were also cryptographers and experts in other fields. All have been working together to listen to sperm whales and figure out what they might be saying.

They call this Project CETI. That’s short for Cetacean Translation Initiative (because sperm whales are a type of cetacean).


AI translates human languages with ease. Researchers are now using this tech to analyze the sounds of whales, rodents and many other animals.

The threat of wildfires is rising. So is new artificial intelligence solutions to fight them

Wildfires fueled by climate change have ravaged communities from Maui to the Mediterranean this summer, killing many people, exhausting firefighters and fueling demand for new solutions. Enter artificial intelligence.

Firefighters and startups are using AI-enabled cameras to scan the horizon for signs of smoke. A German company is building a constellation of satellites to detect fires from space. And Microsoft is using AI models to predict where the next blaze could be sparked.

With wildfires becoming larger and more intense as the world warms, firefighters, utilities and governments are scrambling to get ahead of the flames by tapping into the latest AI technology—which has stirred both fear and excitement for its potential to transform life. While increasingly stretched first responders hope AI offers them a leg up, humans are still needed to check that the tech is accurate.

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