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Category: information science – Page 57

How can back-to-back atmospheric rivers impact the economy? This is what a recent study published in Science Advances hopes to address as a team of researchers led by Stanford University investigates the economic toll of back-to-back atmospheric rivers compared to single events. This study holds the potential to help scientists, the public, and city planners better prepare for atmospheric rivers, as they can cause widespread flooding in short periods of time.

For the study, the researchers analyzed data from the Modern-Era Retrospective Analysis for Research and Applications, version 2, (MERRA-2) between 1981 and 2021 and computer algorithms to ascertain the economic impact of atmospheric rivers throughout California. The goal was to ascertain how much worse back-to-back atmospheric rivers were compared to single events. The study’s findings discovered that back-to-back atmospheric rivers caused three times greater economic damage than single events, which is also higher when the first atmospheric river exhibits greater strength.

“Our work really shows that we need to consider the likelihood for multiple, back-to-back events for predicting damages, because damage from multiple events could be far worse than from one event alone,” said Dr. Katy Serafin, who is a coastal scientists and assistant professor in the Department of Geography at the University of Florida and a co-author on the study.

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We are witnessing a professional revolution where the boundaries between man and machine slowly fade away, giving rise to innovative collaboration.

Photo by Mateusz Kitka (Pexels)

As Artificial Intelligence (AI) continues to advance by leaps and bounds, it’s impossible to overlook the profound transformations that this technological revolution is imprinting on the professions of the future. A paradigm shift is underway, redefining not only the nature of work but also how we conceptualize collaboration between humans and machines.

Continue reading “The Professions of the Future (1)” | >

While NASA is well-known for advancing various technologies for the purposes of space exploration, whether it’s sending spacecraft to another world or for use onboard the International Space Station (ISS), the little-known fact is that these same technologies can be licensed for commercial use to benefit humankind right here on the Earth through NASA’s Spinoff program, which is part of NASA’s Space Technology Mission Directorate and its Technology Transfer program. This includes fields like communication, medical, weather forecasting, and even the very mattresses we sleep on, and are all featured in NASA’s annual Spinoff book, with NASA’s 2024 Spinoff book being the latest in sharing these technologies with the private sector.

“As NASA’s longest continuously running program, we continue to increase the number of technologies we license year-over-year while streamlining the development path from the government to the commercial sector,” Daniel Lockney, Technology Transfer Program Executive at NASA Headquarters, said in a statement. “These commercialization success stories continually prove the benefits of transitioning agency technologies into private hands, where the real impacts are made.”

One example is a medical-grade smartwatch called EmbracePlus developed by Empatica Inc., which uses machine learning algorithms to monitor a person’s vitals, including sleep patterns, heart rate, and oxygen flow. EmbracePlus reached mass production status in 2021 and has been approved by the U.S. Food and Drug Administration (FDA) with the goal of using the smartwatch for astronauts on future spaceflights, including the upcoming Artemis missions, along with medical patients back on Earth.

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Amid a massive wave of tech company layoffs in favor of AI, Google is firing thousands of contractors tasked with making its namesake search engine work better.

As Vice reports, news of the company ending its contract with Appen — a data training firm that employs thousands of poorly paid gig workers in developing countries to maintain, among other things, Google’s search algorithm — coincidentally comes a week after a new study found that the quality of its search engine’s results has indeed gotten much worse in recent years.

Back in late 2022, journalist Cory Doctorow coined the term “enshittification” to refer to the demonstrable worsening of all manner of online tools, which he said was by design as tech giants seek to extract more and more money out of their user bases. Google Search was chief among the writer’s examples of the enshittification effect in a Wired article published last January, and as the new study out of Germany found, that effect can be measured.

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University at Buffalo computer scientist and deepfake expert Siwei Lyu created a photo collage out of the hundreds of faces that his detection algorithms had incorrectly classified as fake—and the new composition clearly had a predominantly) darker skin tone.

“A detection algorithm’s accuracy should be statistically independent from factors like race,” Lyu says, “but obviously many existing algorithms, including our own, inherit a bias.”

Lyu, Ph.D., co-director of the UB Center for Information Integrity, and his team have now developed what they believe are the first-ever deepfake detection algorithms specifically designed to be less biased.

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Researchers have used quantum computers to solve difficult physics problems. But claims of a quantum “advantage” must wait as ever-improving algorithms boost the performance of classical computers.

Quantum computers have plenty of potential as tools for carrying out complex calculations. But exactly when their abilities will surpass those of their classical counterparts is an ongoing debate. Recently, a 127-qubit quantum computer was used to calculate the dynamics of an array of tiny magnets, or spins—a problem that would take an unfathomably long time to solve exactly with a classical computer [1]. The team behind the feat showed that their quantum computation was more accurate than nonexact classical simulations using state-of-the-art approximation methods. But these methods represented only a small handful of those available to classical-computing researchers. Now Joseph Tindall and his colleagues at the Flatiron Institute in New York show that a classical computer using an algorithm based on a so-called tensor network can produce highly accurate solutions to the spin problem with relative ease [2].

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Current artificial intelligence models utilize billions of trainable parameters to achieve challenging tasks. However, this large number of parameters comes with a hefty cost. Training and deploying these huge models require immense memory space and computing capability that can only be provided by hangar-sized data centers in processes that consume energy equivalent to the electricity needs of midsized cities.

The is presently making efforts to rethink both the related computing hardware and the machine learning algorithms to sustainably keep the development of at its current pace. Optical implementation of neural network architectures is a promising avenue because of the low power implementation of the connections between the units.

New research reported in Advanced Photonics combines light propagation inside multimode fibers with a small number of digitally programmable parameters and achieves the same performance on image classification tasks with fully digital systems with more than 100 times more programmable parameters. This streamlines the memory requirement and reduces the need for energy-intensive digital processes, while achieving the same level of accuracy in a variety of machine learning tasks.

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VexTrio, the shadowy entity controlling a massive network of 70,000+ domains, is finally in the spotlight. This “traffic broker” fuels countless scams & malware campaigns, including ClearFake, SocGholish, & more. Read:

The threat actors behind ClearFake, SocGholish, and dozens of other actors have established partnerships with another entity known as VexTrio as part of a massive “criminal affiliate program,” new findings from Infoblox reveal.

The latest development demonstrates the “breadth of their activities and depth of their connections within the cybercrime industry,” the company said, describing VexTrio as the “single largest malicious traffic broker described in security literature.”

VexTrio, which is believed to be have been active since at least 2017, has been attributed to malicious campaigns that use domains generated by a dictionary domain generation algorithm (DDGA) to propagate scams, riskware, spyware, adware, potentially unwanted programs (PUPs), and pornographic content.

Continue reading “VexTrio: The Uber of Cybercrime — Brokering Malware for 60+ Affiliates” | >

Architecture practice Studio RAP has combined algorithmic design and 3D printing to create a pair of archways informed by Delft Blue porcelain at the PoortMeesters housing in the Netherlands.

Named New Delft Blue, the archways were designed to frame entrances to a courtyard garden at the centre of the housing development in Delft designed by The Hague-based VY Architects.

They were constructed using 3,000 unique tiles that were 3D-printed and arranged in a pattern determined by an algorithm created by Studio RAP.

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