Ocean waves represent an abundant source of renewable energy. But to best use this natural resource, wave-energy converters need to be capable of physically handling ocean waves of different strengths without capsizing.
Texas A&M University researchers have developed analytical tools that can help characterize the movements of floating but anchored wave-energy devices. Unlike complicated simulations that are expensive and time-consuming, they said their technique is fast, yet accurate enough to estimate if wave-energy devices will turn over in an ever-changing ocean environment.
“Wave-energy converters need to take advantage of large wave motions to make electricity. But when a big storm comes, you don’t want big wave, wind and current motions to destroy these devices,” said Dr. Jeffrey Falzarano, professor in the Department of Ocean Engineering. “We have developed much simpler analytical tools to judge the performance of these devices in a dynamic ocean environment without necessitating massive amounts of simulations
Jeff Gundlach, the billionaire investor known as the “Bond King,” predicted in a RealVision interview published on Friday that stocks would crash in less than 18 months.
The DoubleLine Capital CEO also said the US dollar would dive in the long run, argued that tech stocks like Apple and Amazon were the only US equities worth owning, and questioned bitcoin, welfare, and Chipotle’s valuation.
Here are Gundlach’s 10 best quotes from the discussion.
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In a RealVision interview filmed on October 1 and released on Friday, the billionaire “Bond King” Jeff Gundlach said stocks would crash within 18 months, predicted that the US dollar would tumble in the long run, and
Expanding routine newborn screening to include a metabolic vulnerability profile could lead to earlier detection of life-threatening complications in babies born preterm, according to a study by UC San Francisco researchers. The new method, which was developed at UCSF, offers valuable and time-sensitive insights into which infants are at greatest risk during their most vulnerable time, immediately after birth.
The study, published in Nature Pediatric Research by scientists at the UCSF California Preterm Birth Initiative (PTBI-CA), assessed the records of 9,639 preterm infants who experienced mortality or at least one complication or mortality.
Using the results of standard newborn profiles and blood tests, they identified a combination of six newborn characteristics and 19 metabolites that, together, created a vulnerability profile that reliably identified preterm babies at substantially increased risk for death and severe illness.
“Our results point to a number of potential biological pathways that may play a key role
Billboard Japan and NTT Data/NTT Data Institute of Management Consulting (NTT Data/IMC) partnered on a new project that combines the former’s chart data and the latter’s neuroscientific technology to develop a new way to analyze music trends.
Billboard Japan’s Hot 100 song chart is based on a weighted formula incorporating eight metrics such as CD sales, downloads, streams and Twitter mentions. NTT Data/IMC is a pioneer in the advancement of the brain information business, in part through its development of the “NeuroAI” that predicts the cerebral activity and perceptual content of people viewing moving images. The underlying technology of NeuroAI was adopted by this year’s AAAI Conference on Artificial Intelligence (AAAI-20).
The collaborative project used technology called “NeuroAI-Music” that simulates the cerebral activity of people listening to music. NeuroAI-Music succeeded in estimating and characterizing the cerebral activity per second of music from audio signals, making it possible to quantitatively extract
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen.
The technique is based on a novel brain-computer interface. Previously, similar brain-computer interfaces have been able to perform one-way communication from brain to computer, such as spell individual letters or move a cursor.
As far as is known, the new study is the first where both the computer’s presentation of the information and brain signals were modelled simultaneously using artificial intelligence methods. Images that matched the visual characteristics that participants were focusing on were generated through interaction between human brain responses and a generative neural network.