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Say you have a cutting-edge gadget that can crack any safe in the world—but you haven’t got a clue how it works. What do you do? You could take a much older safe-cracking tool—a trusty crowbar, perhaps. You could use that lever to pry open your gadget, peek at its innards, and try to reverse-engineer it. As it happens, that’s what scientists have just done with mathematics.

Researchers have examined a deep neural network—one type of artificial intelligence, a type that’s notoriously enigmatic on the inside—with a well-worn type of mathematical analysis that physicists and engineers have used for decades. The researchers published their results in the journal PNAS Nexus on January 23. Their results hint their AI is doing many of the same calculations that humans have long done themselves.

The paper’s authors typically use deep neural networks to predict extreme weather events or for other climate applications. While better local forecasts can help people schedule their park dates, predicting the wind and the clouds can also help renewable energy operators plan what to put into the grid in the coming hours.

ABB is today launching an innovative all-in-one Electric Vehicle (EV) charger, which provides the fastest charging experience on the market.

ABB’s new Terra 360 is a modular charger which can simultaneously charge up to four vehicles with dynamic power distribution. This means that drivers will not have to wait if somebody else is already charging ahead of them. They simply pull up to another plug. The new charger has a maximum output of 360 kW and is capable of fully charging any electric car in 15 minutes or less, meeting the needs of a variety of EV users, whether they need a fast charge or to top their battery up while grocery shopping.

“With governments around the world writing public policy that favors electric vehicles and charging networks to combat climate change, the demand for EV charging infrastructure, especially charging stations that are fast, convenient and easy to operate is higher than ever,” said Frank Muehlon, President of ABB’s E-mobility Division. “The Terra 360, with charging options that fit a variety of needs, is the key to fulfilling that demand and accelerating e-mobility adoption globally.”

Even more extraordinary, during a 2021 interview on CBS 60 Minutes, former Navy pilots David Fravor and Alex Dietrich provided a detailed description of their encounter with a UAP while conducting pre-deployment training with the USS Nimitz aircraft carrier strike group in 2004. While flying their F/A-18F Super Hornet aircraft, they initially observed an area of roiling whitewater on the ocean surface below them. Hovering just above that was a “white Tic Tac looking” UAP. The whitewater may have indicated the presence of a larger UAP below, or that the UAP they were observing had recently emerged from the sea below it, indicating the occurrence of unidentified undersea phenomena (UUP).

The implications of these observations are profound. Society may be on the verge of answering one of the greatest questions regarding our existence — are we alone? Yet, the vast majority of established scientists across the globe have shown little interest, and this remains the case with the ocean science community.

How is it that these anomalous observations have not risen to the level of other science priorities, such as climate change? Simply put, stigma. The attention given by many non-scientific, fringe enthusiasts to the UAP arena has tainted the topic, repulsing those who rightly seek to maintain their scientific integrity and professional reputation. Additionally, the U.S. government thwarted objective analysis of UAPs out of a concern that adversaries would use them as a psychological warfare tool to sow mass hysteria and panic.

Summary: Researchers explain how deep neural networks are able to learn complex physics.

Source: Rice University.

One of the oldest tools in computational physics — a 200-year-old mathematical technique known as Fourier analysis — can reveal crucial information about how a form of artificial intelligence called a deep neural network learns to perform tasks involving complex physics like climate and turbulence modeling, according to a new study.

Researchers from UNSW Sydney have analyzed millions of satellite photos to observe changes in beaches across the Pacific Ocean. The findings, published in Nature Geoscience today (Feb. 10), reveal for the first time how coastlines respond to different phases of the El-Niño-Southern Oscillation (ENSO) cycle.

ENSO is a natural climate phenomenon that causes variations in over the Pacific Ocean. The warming phase, known as El Niño, and the cooling phase, known as La Niña, affect across different coastlines depending on the cycle.

During these periods, can also intensify, shifting sand away from beaches and threatening beachfront homes and habitats. But scientists haven’t been able to study this broadly using conventional coastal monitoring techniques, which have been limited to on-ground observations on just a few beaches.

Proto is betting that companies will view their 7-foot-tall holographic projection boxes as an alternative for in-person meetings. At least a half-dozen startups and giants like Google and Microsoft already are.

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(https://www.timothywittig.com/) is a conservationist, professor, and former defense intelligence analyst. He is a research fellow at Oxford University (Oxford Martin School), an associate fellow at the Royal United Services Institute (RUSI) in London, and has served as Head of Intelligence for both the Royal Foundation’s United for Wildlife Transport and Financial Taskforces (https://unitedforwildlife.org/), and the wildlife investigations charity Focused Conservation.

Dr. Wittig has lived in 8 countries on 3 continents and worked in nearly 50 different countries. His professional background is in research & development and applied sciences, intelligence-led targeting of illicit financial networks, and African and global security.

Dr. Wittig began his career in national security, and was one of the first people in the US Intelligence Community (IC) to treat biodiversity and ecosystem collapse as a threat to global security.

Since their inception in 2016, Dr. Wittig has played a central role in the United for Wildlife Transport and Financial Taskforces, a groundbreaking program of the Royal Foundation of the Prince & Princess of Wales (https://royalfoundation.com/), to use data and intelligence, alongside high-level formal commitments, to mobilize 200+ of the worlds’ largest banks, maritime shipping companies, and airlines to take meaningful action against global wildlife trafficking. Dr. Wittig conceived of and currently runs the central intelligence sharing system of the both Taskforces.