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Category: robotics/AI – Page 1458

2021 is only halfway complete, and we cannot yet be said to have defeated the pandemic, but yet at the same time, the travel and tourism industry is said to be poised for a pretty rapid boom. In many ways and places, the recovery has already begun.

A live Globaldata poll showed that people are desperate to enjoy travels and trips again with a majority of them opting for longer trips than before. 26% of their respondents showed a desire to enjoy trips that spanned a minimum of 10 nights. As lockdowns and travel restrictions continue to be eased and countries continue to open up, we will likely see a surge in new tourists and travelers.

Jason Fong, a veteran of the industry, is the brain behind the Boss of Bali brand, a brand that has garnered over 2 million followers on Instagram. Fong shared his knowledge of all things tourism and how he has used his platform to promote the evolution of travel and tourism more sustainably.

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The historic mission is still going strong.

A Chinese lander and rover are still up and running more than 1,000 Earth days after they made a historic first-ever landing on the far side of the moon.

The Chang’e 4 lander carrying the Yutu 2 rover touched down in Von Kármán Crater on Jan. 2 2019, and the robotic mission has been exploring the unique area of our celestial neighbor ever since.

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Elon Musk said: In the future, you will be able to save and replay memories by Neuralink This is sounding increasingly like a Black Mirror episode.

Elon Musk says you will even be able to store your memories as a backup, and then download them into a robot body. It sounds like science fiction but Neuralink believes it could make that happen one day with a chip.

It is a brain-machine interface or BMI – a device that connects your brain to a computer. But before chasing these futuristic goals, the startup is focusing on one thing: ending human suffering.

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The Pentagon’s first chief software officer said he resigned in protest at the slow pace of technological transformation in the US military, and because he could not stand to watch China overtake America.

In his first interview since leaving the post at the Department of Defense a week ago, Nicolas Chaillan told the Financial Times that the failure of the US to respond to Chinese cyber and other threats was putting his children’s future at risk.

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Continue reading “US has already lost AI fight to China, says ex-Pentagon software chief” | >

Speaking of cars, consider the future of transportation and mobility, entailing the advent of self-driving cars.

It would seem that self-driving cars will be a welcomed boon to humanity. Predictions are that the regrettable 40,000 annual fatalities due to car crashes in the United States alone will be reduced enormously, and likewise, the estimated 2.3 million car crash injuries will nearly disappear.

What’s not to like about the emergence of self-driving cars?

That brings up this intriguing question: Could the advent of AI-based true self-driving cars somehow get intermingled into the act of bothering a neighbor?

This seems like a rather curious question and defies the aura of goodness that surrounds the self-driving car realm.

Continue reading “Bothering And Even Spying On Your Neighbors Via An AI Self-Driving Car” | >

As the medical community’s understanding of the application of augmented intelligence (AI) in health care grows, there remains the question of how AI—often called artificial intelligence—should be incorporated into physician training. The term augmented intelligence is preferred because it recognizes the enhancement, rather than replacement, of human capabilities.

Understanding how AI can affect patients may help learners appreciate its relevance, he noted, adding that the National Board of Medical Examiners exam now tests physicians-in-training on health systems science, and there are questions about health care AI specifically.

But AI doesn’t just relate to systems issues. It also has a home within evidence-based medicine (EBM).

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Continue reading “How health care AI could help train tomorrow’s physicians” | >

Imperial researchers have found that variability between brain cells might speed up learning and improve the performance of the brain and future artificial intelligence (AI).

The new study found that by tweaking the electrical properties of individual cells in simulations of brain networks, the networks learned faster than simulations with identical cells.

They also found that the networks needed fewer of the tweaked cells to get the same results and that the method is less energy-intensive than models with identical cells.

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Continue reading “Brain cell differences could be key to learning in humans and AI” | >

A slew of new studies now shows that the area of the brain responsible for initiating this action — the primary motor cortex, which controls movement — has as many as 116 different types of cells that work together to make this happen.

The 17 studies, appearing online Oct. 6 in the journal Nature, are the result of five years of work by a huge consortium of researchers supported by the National Institutes of Health’s Brain Research Through Advancing Innovative Neurotechnologies (BRAIN) Initiative to identify the myriad of different cell types in one portion of the brain. It is the first step in a long-term project to generate an atlas of the entire brain to help understand how the neural networks in our head control our body and mind and how they are disrupted in cases of mental and physical problems.

“If you think of the brain as an extremely complex machine, how could we understand it without first breaking it down and knowing the parts?” asked cellular neuroscientist Helen Bateup, a University of California, Berkeley, associate professor of molecular and cell biology and co-author of the flagship paper that synthesizes the results of the other papers. “The first page of any manual of how the brain works should read: Here are all the cellular components, this is how many of them there are, here is where they are located and who they connect to.”

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The Sustainable Development Goals (SDGs) include a call for action to halve the annual rate of road deaths globally and ensure access to safe, affordable, and sustainable transport for everyone by 2030.

According to the newly launched initiative, faster progress on AI is vital to make this happen, especially in low and middle-income countries, where the most lives are lost on the roads each year.

According to the World Health Organization (WHO), approximately 1.3 million people die annually as a result of road traffic crashes. Between 20 and 50 million more suffer non-fatal injuries, with many incurring a disability.

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Continue reading “Artificial intelligence can help halve road deaths by 2030” | >