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This Hotshot AI Drone Can Speed Through Complex Environments Thanks To New Kind Of Virtual Training

A team from the University of Zurich has trained an artificial intelligence system to fly a drone in a virtual environment full of obstacles before setting it loose in the real world, where it was able to weave around obstacles at 40 kph (25 mph), three times as fast as the previous best piloting software. Lead researcher Davide Scaramuzza, Director of the Robotics and Perception Group, says the work, carried out in partnership with Intel, could revolutionize robotics by enabling machines to learn virtually.

A paper describing the project, Learning high-speed flight in the wild, was published this month in the journal Science Robotics.

“Our approach is a stepping stone toward the development of autonomous systems that can navigate at high speeds through previously unseen environments with only on-board sensing and computation,” the paper concludes.

Artificial Intelligence Is Transforming Biotechnology, Especially When It Comes To Innovations In Nitric Oxide

Recent advancements in biotechnology have immense potential to help address many global problems; climate change, an aging society, food security, energy security, and infectious diseases.

Biotechnology is not to be confused with the closely related field of biosciences. While biosciences refer to all the sciences that study and understand life, biology, and biological organisms, biotechnology refers to the application of the knowledge of biosciences and other technologies to develop tech and commercial products. Biotechnology is the application of innovation to biosciences in a bid to solve real-world medical problems.

Throw Artificial Intelligence into the mix and we suddenly have a really interesting pot of broth. Several AI trends have already proven beneficial to the development of biotechnology. Dr. Nathan S. Bryan, an inventor, biochemist and professor, who made a name for himself as an innovator and pioneer in nitric oxide drug discovery, commercialization, and molecular medicine, offers his insights on these contributions.

When A Ghost Seemingly Has Taken Your AI Self-Driving Car

Hey, dude, where’s my car?

That was the question on my mind when I walked out to the parking lot to get into my car and it was not there. Given that Halloween was just a few days away, I naturally suspected that perhaps a ghost had decided to take my car for a spin. Seems like those ghosts don’t get much of a chance to spirit away an everyday car.

I put aside the ghost theory and sought to find something more down-to-earth as an explanation for where my car was.

This particular parking lot was quite expansive and there wasn’t any numbering system associated with the parking spots. Thus, I had to remember where my car was supposed to be as based entirely on my own mental “global positioning” brain ware, and absent of having any tangible and more reliable form of tracing.

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Artificial Intelligence Sheds Light on How the Brain Processes Language

Researchers report the human brain may use next word prediction to drive language processing.

Source: MIT

In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type.

Artificial Intelligence Has Found an Unknown ‘Ghost’ Ancestor in The Human Genome

Only recently, researchers have uncovered evidence she wasn’t alone. In a 2019 study analyzing the complex mess of humanity’s prehistory, scientists used artificial intelligence (AI) to identify an unknown human ancestor species that modern humans encountered – and shared dalliances with – on the long trek out of Africa millennia ago.

“About 80,000 years ago, the so-called Out of Africa occurred, when part of the human population, which already consisted of modern humans, abandoned the African continent and migrated to other continents, giving rise to all the current populations”, explained evolutionary biologist Jaume Bertranpetit from the Universitat Pompeu Fabra in Spain.

As modern humans forged this path into the landmass of Eurasia, they forged some other things too – breeding with ancient and extinct hominids from other species.

Tesla FSD Beta is starting to save lives

Tesla’s Autopilot and Full Self-Driving Beta are, at their core, safety systems. They may be advanced enough to make driving tasks extremely easy and convenient, but ultimately, CEO Elon Musk has been consistent with the idea that Tesla’s advanced driver-assist technologies are being developed to make the world’s roads as safe as possible.

This is something that seems to be happening now among some members of the FSD Beta group, which is currently being expanded even to drivers with a Safety Score of 99. As the company expands its fleet of vehicles that are equipped with FSD beta, some testers have started sharing stories about how the advanced driver-assist system helped them avoid potential accidents on the road.

FSD Beta tester @FrenchieEAP, for example, recently shared a story about a moment when his Model 3 was sitting at a red light with the Full Self-Driving Beta engaged. When the light turned green, the all-electric sedan started moving forward — before braking suddenly. The driver initially thought that the FSD Beta was stopping for no reason, but a second later, the Model 3 owner realized that a cyclist had actually jumped a red light. The FSD Beta just saw the cyclist before he did.

AI-based technology rapidly identifies genetic causes of rare disorders with high accuracy

An artificial intelligence (AI)-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego. The benchmark finding, published in Genomic Medicine, foreshadows the next phase of medicine, where technology helps clinicians quickly determine the root cause of disease so they can give patients the right treatment sooner.

“This study is an exciting milestone demonstrating how rapid insights from AI-powered decision support technologies have the potential to significantly improve patient care,” says Mark Yandell, Ph.D., co-corresponding author on the paper. Yandell is a professor of human genetics and Edna Benning Presidential Endowed Chair at U of U Health, and a founding scientific advisor to Fabric.

Worldwide, about seven million infants are born with serious genetic disorders each year. For these children, life usually begins in intensive care. A handful of NICUs in the U.S., including at U of U Health, are now searching for genetic causes of disease by reading, or sequencing, the three billion DNA letters that make up the human genome. While it takes hours to sequence the whole genome, it can take days or weeks of computational and manual analysis to diagnose the illness.