Sunday, May 3, 2026

LANL-UNIVERSITY OF NEW MEXICO STUDIES INDICATE COMING FOREST MORTALITIES

Forest Death.  Credit:  Leigh Brandt
Rising Global Temperatures Accelerate Drought-induced Forest Mortality
Research has dire global implications for forests

LOS ALAMOS, N.M., July 10, 2013—Many southwestern forests in the United States will disappear or be heavily altered by 2050, according to a series of joint Los Alamos National Laboratory-University of New Mexico studies.

In a new video produced by Los Alamos, Nathan McDowell, a Los Alamos plant physiologist, and William Pockman, a UNM biology professor, explain that their research, and more from scientists around the world, is forecasting that by 2100 most conifer forests should be heavily disturbed, if not gone, as air temperatures rise in combination with drought.

“Everybody knows trees die when there's a drought, if there's bark beetles or fire, yet nobody in the world can predict it with much accuracy.” McDowell said. “What's really changed is that the temperature is going up,” thus the researchers are imposing artificial drought conditions on segments of wild forest in the Southwest and pushing forests to their limit to discover the exact processes of mortality and survival.

Wild forest analysis more effective than greenhouses
The study is centered on drought experiments in woodlands at both Los Alamos and the Sevilleta National Wildlife Refuge in central New Mexico. Both sites are testing hypotheses about how forests die on mature, wild trees, rather than seedlings in a greenhouse, through the ecosystem-scale removal of 50 percent of yearly precipitation through large water-diversion trough systems.

At the Sevilleta, additional plots are irrigated to examine how wet climate cycles may make forests more vulnerable to subsequent droughts, whilst at Los Alamos, both droughted and ambient precipitation piñon and juniper trees are also heated in Plexiglas chambers to mimic an environment that's 5 degrees Celsius warmer than today.

“Because we're not working in a greenhouse with plants in pots, but we're working with plants that grew on a natural landscape and we're working over a long period of time. . . our field manipulations provide great power to understand what actually happens to real plants,” said Pockman.

Starving trees for essential data
Scientists take data to test hypotheses regarding plant starvation, dehydration and vulnerability to insect attack during severe drought, including measurements of carbon dioxide transfer in the leaves and carbohydrate content of the plants.

“The Sevilleta site is part of a network of sites funded by the National Science Foundation Long-term ecological Research Program,” said Pockman. “It's intended to provide a source of data that spans long time periods, which is essentially the time scale over which ecological processes occur.”

The research project at the Sevilleta now has eight years worth of data on drought and tree death.

Rainfall is not always the answer
“The irrigation has revealed that trees can do really well when it rains a lot, and obviously that's not a huge surprise,” said McDowell. “But they may also be more vulnerable to a subsequent drought. So climate predictions suggest that with more droughts, we should also have more heavy rainfall periods.

Those things may actually set up these trees for failure during the next drought.”
Bad news for the piñon pines, especially, which tend to give up completely when the hot, dry air pulls essential moisture from their needles. The junipers, standing nearby, lose a branch at a time to the heat and moisture stress treatment, but perish more slowly than the piñon neighbors.


61713.

Saturday, May 2, 2026

AI AND SAFE SELF-DRIVING CARS

FROM:  NATIONAL SCIENCE FOUNDATION
Programming safety into self-driving cars
UMass researchers improve artificial intelligence algorithms for semi-autonomous vehicles
February 2, 2015

For decades, researchers in artificial intelligence, or AI, worked on specialized problems, developing theoretical concepts and workable algorithms for various aspects of the field. Computer vision, planning and reasoning experts all struggled independently in areas that many thought would be easy to solve, but which proved incredibly difficult.

However, in recent years, as the individual aspects of artificial intelligence matured, researchers began bringing the pieces together, leading to amazing displays of high-level intelligence: from IBM's Watson to the recent poker playing champion to the ability of AI to recognize cats on the internet.

These advances were on display this week at the 29th conference of the Association for the Advancement of Artificial Intelligence (AAAI) in Austin, Texas, where interdisciplinary and applied research were prevalent, according to Shlomo Zilberstein, the conference committee chair and co-author on three papers at the conference.

Zilberstein studies the way artificial agents plan their future actions, particularly when working semi-autonomously--that is to say in conjunction with people or other devices.

Examples of semi-autonomous systems include co-robots working with humans in manufacturing, search-and-rescue robots that can be managed by humans working  remotely and "driverless" cars. It is the latter topic that has particularly piqued Zilberstein's interest in recent years.

The marketing campaigns of leading auto manufacturers have presented a vision of the future where the passenger (formerly known as the driver) can check his or her email, chat with friends or even sleep while shuttling between home and the office. Some prototype vehicles included seats that swivel back to create an interior living room, or as in the case of Google's driverless car, a design with no steering wheel or brakes.

Except in rare cases, it's not clear to Zilberstein that this vision for the vehicles of the near future is a realistic one.

"In many areas, there are lots of barriers to full autonomy," Zilberstein said. "These barriers are not only technological, but also relate to legal and ethical issues and economic concerns."

In his talk at the "Blue Sky" session at AAAI, Zilberstein argued that in many areas, including driving, we will go through a long period where humans act as co-pilots or supervisors, passing off responsibility to the vehicle when possible and taking the wheel when the driving gets tricky, before the technology reaches full autonomy (if it ever does).

In such a scenario, the car would need to communicate with drivers to alert them when they need to take over control. In cases where the driver is non-responsive, the car must be able to autonomously make the decision to safely move to the side of the road and stop.

"People are unpredictable. What happens if the person is not doing what they're asked or expected to do, and the car is moving at sixty miles per hour?" Zilberstein asked. "This requires 'fault-tolerant planning.' It's the kind of planning that can handle a certain number of deviations or errors by the person who is asked to execute the plan."

With support from the National Science Foundation (NSF), Zilberstein has been exploring these and other practical questions related to the possibility of artificial agents that act among us.

Zilberstein, a professor of computer science at the University of Massachusetts Amherst, works with human studies experts from academia and industry to help uncover the subtle elements of human behavior that one would need to take into account when preparing a robot to work semi-autonomously. He then translates those ideas into computer programs that let a robot or autonomous vehicle plan its actions--and create a plan B in case of an emergency.

There are a lot of subtle cues that go into safe driving. Take for example a four-way stop. Officially, the first car to the crosswalk goes first, but in actuality, people watch each other to see if and when to make their move.

"There is a slight negotiation going on without talking," Zilberstein explained. "It's communicating by your action such as eye contact, the wave of a hand, or the slight revving of an engine."

In trials, autonomous vehicles often sit paralyzed at such stops, unable to safely read the cues of the other drivers on the road. This "undecidedness" is a big problem for robots. A recent paper by Alan Winfield of Bristol Robotics Laboratory in the UK showed how robots, when faced with a difficult decision, will often process for such a long period of time as to miss the opportunity to act. Zilberstein's systems are designed to remedy this problem.

"With some careful separation of objectives, planning algorithms could address one of the key problems of maintaining 'live state', even when goal reachability relies on timely human interventions," he concluded.

The ability to tailor one's trip based on human-centered factors--like how attentive the driver can be or the driver's desire to avoid highways--is another aspect of semi-autonomous driving that Zilberstein is exploring.

In a paper with Kyle Wray from the University of Massachusetts Amherst and Abdel-Illah Mouaddib from the University of Caen in France, Zilberstein introduced a new model and planning algorithm that allows semi-autonomous systems to make sequential decisions in situations that involve multiple objectives--for example, balancing safety and speed.

Their experiment focused on a semi-autonomous driving scenario where the decision to transfer control depended on the driver's level of fatigue. They showed that using their new algorithm a vehicle was able to favor roads where the vehicle can drive autonomously when the driver is fatigued, thus maximizing driver safety.

"In real life, people often try to optimize several competing objectives," Zilberstein said. "This planning algorithm can do that very quickly when the objectives are prioritized. For example, the highest priority may be to minimize driving time and a lower priority objective may be to minimize driving effort. Ultimately, we want to learn how to balance such competing objectives for each driver based on observed driving patterns."

It's an exciting time for artificial intelligence. The fruits of many decades of labor are finally being deployed in real systems and machine learning is being adopted widely and for different purposes than anyone had ever realized.

"We are beginning to see these kinds of remarkable successes that integrate decades-long research efforts in a variety of AI topics," said Héctor Muñoz-Avila, program director in NSF's Robust Intelligence cluster.

Indeed, over many decades, NSF's Robust Intelligence program has supported foundational research in artificial intelligence that, according to Zilberstein, has given rise to the amazing smart systems that are beginning to transform our world. But the agency has also supported researchers like Zilberstein who ask tough questions about emerging technologies.

"When we talk about autonomy, there are legal issues, technological issues and a lot of open questions," he said. "Personally, I think that NSF has been able to identify these as important questions and has been willing to put money into them. And this gives the U.S. a big advantage."

-- Aaron Dubrow, NSF

2915

Monday, March 30, 2026

DISCOVERING HOW ROMULAN CLOAKING TECHNOLOGY WORKS THROUGH MATH

FROM:  THE NATIONAL SCIENCE FOUNDATION
Hidden from view
Mathematicians formulate equations, bend light and figure out how to hide things

The idea of cloaking and rendering something invisible hit the small screen in 1966 when a Romulan Bird of Prey made an unseen, surprise attack on the Starship Enterprise on Star Trek. Not only did it make for a good storyline, it likely inspired budding scientists, offering a window of technology's potential.

Today, between illusionists who make the Statue of Liberty disappear to Harry Potter's invisibility cloak that not only hides him from view but also protects him from spells, pop culture has embraced the idea of hiding behind force fields and magical materials. And not too surprisingly, National Science Foundation (NSF)-funded mathematicians, scientists and engineers are equally fascinated and looking at how and if they can transform science fiction into, well, just science.

"Cloaking is about detection and rendering something--and the cloak itself--not detectable or seen," said Michael Weinstein, an NSF-funded mathematician at Columbia University. "An object is seen when waves are bounced off it and observed by a detector."

In recent years, researchers have developed new ways in which light can move around and even through a physical object, making it invisible to parts of the electromagnetic spectrum and undetectable by sensors. Additionally, mathematicians, theoretical physicists and engineers are exploring how and whether it's feasible to cloak against other waves besides light waves. In fact, they are investigating sound waves, sea waves, seismic waves and electromagnetic waves including microwaves, infrared light, radio and television signals.

Successful outcomes have far-reaching results--like protecting deep-water oil rigs from earthquakes and vulnerable beaches from tsunamis.

Uncloaking cloaking's math and science history

Partial differential equations, coordinate invariance, wave equations--when you start talking to researchers about cloaking, it soon starts sounding a lot like math. And that's because at the very heart of this scientific question lies a mathematical one.

"There are very nice mathematical problems associated with this, and some of the ideas are mathematically very, very simple," said Michael Vogelius, NSF's division director for mathematical sciences and whose own research at Rutgers University has contributed significantly to this field. "But that doesn't mean they are simple to implement. In transformation cloaking the materials with the desired cloaking properties are found by singular or nearly singular change of variables in the energy expression--these material coefficients are sometimes referred to as the push-forward (or pull-back) of the original background. Basically, mathematicians ask, 'what do the equations have to look like to get this effect?' The thing that will be very hard--and is very hard--is to build these materials. They are singular in all kinds of ways."

That is why throughout cloaking research history, mathematicians, theoretical physicists and engineers have looked at the problem together.

According to Graeme Milton, an NSF-funded mathematician at the University of Utah, cloaking's start is rooted in math.

"Mathematicians and theoretical physicists basically had the idea independently for transformation-based cloaking," he said, adding that other mathematicians along the way--including himself--have taken the same wave equations and developed them further.

Milton and his collaborators created superlens cloaking, where cloaking occurs near lenses with capabilities far greater than traditional ones, and active exterior cloaking, where cloaking is created by active devices, and the cloak does not completely surround the object.

While cloaking has made considerable theoretical strides, its triumphs have been fairly limited for those awaiting real-world applications.

"Essentially, all the cloaking that has been done successfully in experiment involves a fixed frequency or small band of frequencies," Weinstein said. "So, it's a bit like--suppose you detect things by shining a light on them, and we all agree you're only allowed to shine blue light. I can construct a cloak that will conceal it under blue light, but if you vary the color--that is the wavelength--of the probing light, it will then be detectable. So far, we are unable to cloak something that is invisible to all colors. And because white light is composed of a broad spectrum of colors, no one has come near to making things truly undetectable."

Even with those limitations, there have been distinct milestones in cloaking research.

One of the best examples is actually widely available but probably not commonly thought of as cloaking technology, yet it applies the same sort of math. It involves sounds waves.

"Noise-cancelling headphones are basically cloaking the sounds from outside so they don't reach your ears," Milton said. "Active cloaking is very much along these same lines."

In 2006, as Milton published a key paper that expanded on the superlens cloaking he developed more than a decade earlier, a group of Duke University physicists created the first-ever microwave invisibility cloak using specially engineered "metamaterials," which can manipulate wavelengths, such as light, in a way that naturally occurring materials cannot do alone. However, it only cloaked microwaves and only in two dimensions.

And in 2014, a group in France actually did some experiments with a company to drill 5-meter-deep holes in strategic locations that would modify the earth's density and then measure effectiveness in cloaking. The experiments man-made vibrations that were at a given frequency, not earthquakes. They were able to deflect the seismic waves, showing some possibility to develop this application further.

"Science needs to figure out how to cloak against multiple frequencies before there can be any 'real' cloaking, however," Milton said. "Earthquakes and tsunamis involve a mixture of frequencies, so they are particularly challenging problems."

Passive and active approaches to cloaking research

To understand cloaking, one must first understand where the idea comes from.

When light encounters an object, it is either reflected, refracted or absorbed. Reflection means light waves bounce off an object, like a mirror. Refraction bends light waves, much like looking at a straw in a glass of water seems to break the straw into two pieces. When waves are absorbed, they are stopped, neither bouncing back nor transmitting through the object--although perhaps heating it. Objects which absorb light appear opaque or dark. These interactions between light and objects are what allow us to see those objects.

For cloaking to occur, light must be tricked into doing unusual things that reduce our ability to "see" or detect the object. Mathematicians look for how to control the flow of waves, using wave equations to characterize their behavior. Wave equations are an example of partial differential equation (PDE); PDEs are the language of the fundamental laws of physics. (Just this year, John Nash and Louis Nirenberg received the prestigious Abel Prize for their work in partial differential equations. Their contributions have had a major impact on how mathematicians analyze the PDEs used to understand phenomena such as cloaking.)

"All wave phenomena are predictable from these wave equations--at least in principle," Weinstein said. "That is, light waves, sound waves, elastic waves, quantum waves, gravitational waves. But the problem is that these equations are not so easily solved, so one tries to come up with guiding principles, useful approximations and rules of thumb. Coming to the question of cloaking, there's a mathematical property of wave equations, governing, for example, light, called coordinate invariance. That's basically a way of saying that you can change coordinates and perspectives of viewing the object, and the equations themselves don't change their essential form. By exploiting this idea of coordinate invariance, scientists have come up with prescriptions for optical properties that can cloak arbitrary objects."

In 2009, Milton and colleagues first introduced exterior active cloaking. Scientists in this field describe their research as involving either active or passive cloaking. Active cloaking uses devices that actively generate electromagnetic fields that distort waves. Passive cloaking employs metamaterials that passively shield objects from electromagnetic waves rather than intervening.

"The term 'metamaterial' is a bit deceptive," Weinstein noted. "Metamaterials are roughly composite materials. You take a bunch of building blocks, made from naturally occurring materials, and put them together in interesting ways to create some emergent property--some collective property of this novel arrangement not in naturally occurring materials. That new collective material is a metamaterial. But it's more like a device that actually interacts actively with waves moving through it."

With new metamaterial designs come new cloaking capabilities. NSF-funded engineer Andrea Alù won NSF's Waterman award in 2015 for creating metamaterials that can cloak a three-dimensional object. He and his team developed two methods--plasmonic cloaking and mantle cloaking--that take advantage of different light-scattering effects to hide an object.

Weinstein is exploring, through his research on the partial differential equations governing light, electromagnetism, sound, etc.--different ways of controlling the flow of energy, cloaking being one example, by using novel media such as metamaterials. Vogelius is known for bringing credibility to the transformation optics that serve as a backbone to cloaking broadly.

Where's my invisibility cloak?

But most fans of stealthful space ships, submarines and cloaks will still wonder: how close are we to really having any of this technology?

"I think that from the perspective of lay people, the most misunderstood thing is thinking this technology is right around the corner," Milton said. "Realistic Harry Potter cloaks are still a long way off."

Unfortunately, addressing multi-frequency cloaking will take time.

"What I do see is a merging of mathematical, physical and engineering principles to more effectively enable isolation of objects from harmful environments--there will be movement in that direction," Weinstein said. "Also, there will be important experimental advances resulting from attempts to achieve what is only theoretically possible at this time."

In the meantime, these mathematicians often look at other issues--sometimes similar ones that offer the potential to rethink their approaches.

"Right now, we're working on the opposite sort of problem--on the limitations to cloaking," Milton said. "Cloaking is just one of the many avenues I work on. Honestly, it's always stimulating to explore the limitations of what's possible and what's impossible."

-- Ivy F. Kupec
Investigators
Andrea Alu
Graeme Milton
Michael Vogelius
Michael Weinstein
Related Institutions/Organizations
Rutgers University
University of Utah
Columbia University
University of Texas at Austin

Thursday, February 12, 2026

FORMER SACRAMENTO WOMAN SENTENCED FOR PART IN HUMAN TRAFFICKING OF TEENAGE GIRLS


FROM: U.S. DEPARTMENT OF HOMELAND SECURITY

Former Sacramento woman sentenced to 9 years for sex trafficking

OAKLAND, Calif. — A former Sacramento woman was sentenced Wednesday to nine years in federal prison on charges stemming from a probe by U.S. Immigration and Customs Enforcement's (ICE) Homeland Security Investigations (HSI) and the FBI that linked her to a scheme to sex traffic teenage girls.

Helen Jean Singh (née Kearney), 22, pleaded guilty earlier this year to participating in a sex trafficking conspiracy involving the prostitution of teenage females. During Wednesday's sentencing, Singh accepted responsibility for her actions.

A federal grand jury indicted Singh and her husband, Mahendar "Mike" Singh, on the sex trafficking conspiracy charge in December 2011. According to the indictment, the pair recruited teenage girls by promising money, drugs and a "family-like environment." The couple maintained control over their victims by providing drugs, using physical force and threats of physical force, and fostering a climate of fear. The Singh's used the Internet to advertise their prostitution enterprise, which spanned from Sacramento County to multiple Bay Area counties.

"Few crimes strike at our community the way sex trafficking does," U.S. Attorney Melinda Haag said. "By sexually exploiting children and young adults for financial gain, sex traffickers have shown that greed has no bounds. My office will continue to lead efforts by law enforcement to fight the menace that is sex trafficking."

The Singhs were arrested in August 2011 after the South San Francisco Police Department responded to a motel near the San Francisco Airport and found Mahendar Singh with three teenage girls. The affidavit alleges the defendants used an Internet website to advertise their victims and employed cell phones and text-messaging to make arrangements with customers.

"While no prison sentence can ever compensate for the physical and emotional toll experienced by trafficking victims, this lengthy prison term should serve as a sobering warning about the consequences facing those who engage in this reprehensible practice," said Clark Settles, special agent in charge ICE Homeland Security Investigations (HSI) San Francisco. "Human traffickers prey on the powerless and the vulnerable. ICE Homeland Security Investigations and its federal law enforcement partners are committed to protecting those who cannot protect themselves."

"The FBI will continue to work with our local, state and federal law enforcement partners to relentlessly pursue and bring to justice sex traffickers who exploit and victimize juveniles," said Acting Special Agent in Charge Michael Gavin of FBI San Francisco. "We will also work with our community partners to help those who are victimized get the assistance they need."

In addition to HSI and the FBI, the other agencies involved in the case included the South San Francisco Police Department; the San Mateo County District Attorney's Office; the Human Trafficking Prosecution Unit of the Criminal Section, Civil Rights Division; U.S. Department of Justice; and the Child Exploitation and Obscenity Section of the Criminal Division, U.S. Department of Justice.

The sentence was handed down by U.S. District Court Judge Phyllis J. Hamilton. Judge Hamilton also sentenced Helen Singh, who was and will remain in custody, to a five-year period of supervised release following her prison term and ordered her to forfeit property and make restitution of $45,000 to one of the victims. Mahendar Singh, who also pleaded guilty previously, received the same sentence April 18.

Assistant U.S. Attorney Andrew S. Huang prosecuted the case with the assistance of legal assistant Vanessa Vargas.

Human trafficking is one of the most heinous crimes that HSI investigates. In its worst manifestation, human trafficking is akin to modern-day slavery. HSI relies on tips from the public to dismantle these organizations. Trafficking victims are often hidden in plain sight, voiceless and scared. The public is urged to report suspicious human trafficking activity to the ICE HSI Tip Line at

1-866-347-2423 or report tips online at www.ice.gov/tips.

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