'Godmother of AI' Says Biggest AI Risk In Schools Is Students Losing the Desire to Learn
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A stunning drone video capturing dozens of stingrays swimming together off the coast of New York has drawn widespread attention from beachgoers and marine life enthusiasts alike. The footage offers an unusual birdβs-eye perspective on cownose rays, a species known for its seasonal visits to Long Islandβs waters.
Captured last Friday off Southampton, the video was filmed by Joanna Steidle, a Hamptons-based drone pilot recognized for her striking aerial ocean photography. The clip shows a large group of cownose rays gliding gracefully just beneath the waterβs surface, their distinctive wing-shaped bodies visible in remarkable detail.
Cownose rays, which can grow wing spans of up to three feet, are known for traveling in large schools and typically arrive in the region during the warmer summer months. Despite their somewhat intimidating appearance, marine scientists describe the species as shy and generally harmless to humans, posing little threat to swimmers or beachgoers who might encounter them.
While the sight of so many rays moving together may seem unusual to casual observers, experts note that this behavior is a normal part of their seasonal pattern and that these creatures have likely been visiting Long Islandβs coastal waters for decades. The viral footage has offered a rare glimpse into a natural phenomenon that typically goes unnoticed by those on shore, highlighting the rich marine biodiversity present just off New Yorkβs beaches during summer.
The post Drone Captures Rare Aerial View of Stingray Migration Off Long Island first appeared on EnviroLink Network.
At sunrise, the yacht Boaventura II departs Rio de Janeiro carrying a boatload of eager whale watchers. Just past the Cagarras Islands, a rocky archipelago three miles from Ipanema beach, passengers crowd the bow, eyes fixed on the horizon.
Their patience is quickly rewarded. A pod of bottlenose dolphins surfaces first, leaping and diving playfully near the boat. Moments later, two plumes of mist rise into the airβthe telltale sign of humpback whales. The massive creatures breathe rhythmically at the surface before diving, their distinctive tail flukes briefly visible above the waves.
This scene, once unimaginable, has become increasingly common off Rioβs coast. Humpback whales, hunted to near extinction during the 20th century whaling era, have made a remarkable comeback in Brazilian waters. Their resurgence has sparked a booming whale-watching tourism industry, drawing visitors eager to witness these ocean giants up close.
Yet the very success story that brings tourists to the water is now raising concerns among marine biologists. As boat traffic increases to meet demand, researchers are questioning whether unchecked tourism growth could threaten the fragile recovery of the species. The challenge now facing Rio: how to celebrate and share this conservation triumph without loving the whales back toward danger.
The post Humpback Whales Return to Rio De Janeiroβs Waters, but Can Tourism and Conservation Coexist? first appeared on EnviroLink Network.

All scientific inquiry involves some kind of uncertainty, but the uncertainties in cosmology are particularly daunting. As well as being complex and difficult to describe, the systems cosmologists investigate are almost by definition out of reach. In these conditions of uncertainty, how confident can we be in the models weβve built? How can we come to know how galaxies form, how the universe began or how much dark matter it contains?
In The Random Universe: How Models and Probability Help us Make Sense of the Cosmos, cosmologist and astrophysicist Andrew Jaffe offers a masterful and refreshing take on these questions. As the director of the Centre for Inference and Cosmology at Imperial College London, UK, and a past co-investigator on ESAβs Planck satellite that provided us with so much new information about the cosmos, Jaffe is well-equipped to walk readers through the tools that allow us to learn about the world despite its uncertainties. Anchoring his insights in beautifully narrated episodes from the history of physics, astrophysics and cosmology, he sheds light on how our theories of the universe evolved into our current best cosmological model β which nonetheless still has limitations.
Jaffe is particularly good at recounting how we refined, revised and even replaced some of our assumptions in light of incoming evidence such as the first measurements of stellar distance; the discovery of galaxies beyond our own; and precise measurements of cosmological parameters. Throughout this journey, he engages thoughtfully with a rich philosophical tradition that runs from David Hume in the 18th century through Willard Van Orman Quine, Imre Lakatos and Paul Feyerabend in the 20th.
Bayesβ theorem is important because it tells us how to update our degree of belief in light of new evidence
The bookβs main protagonist, though, is the mathematician Thomas Bayes. For Jaffe, Bayesian probability is key to dealing with uncertainty, and even to solving Humeβs notorious problem of induction: how do we justify inferences from a finite set of observations to generalizations that go beyond them? Bayesβ theorem is important, Jaffe argues, because it tells us how to update our degree of belief in light of new evidence. It shows us why and how, even in an uncertain world, βthe more observations we make, the surer we becomeβ.
Of course, before we can use probability to deal with uncertainty, we first need a model. As Jaffe puts it, βAbsent a model, I canβt assign a probability, and absent a probability, I canβt quantify my uncertainty about the world.β So, what exactly is a model? I found Jaffeβs answer to be one of the most captivating elements of the book. As the title of a subsection of chapter five puts it, βa model is a story about the worldβ. Without models, Jaffe tells us, our world would be an unexplained series of unrelated events. Models are also what allow us to take a finite set of data and use it to create something new. Without this leap, Jaffe suggests, we cannot learn anything about the world, because βyou canβt make sense of an experimental result unless you have some model to interpret itβ.
Of course, if the way we interpret data depends on our model, then different people may well obtain different interpretations depending on which model and which prior probability they choose. This charge of subjectivity is a longstanding accusation against Bayesians, but Jaffe offers at least a partial solution: βIf you and I agree on the model, we should assign the same probability.β This, Jaffe argues, is where objectivity emerges, writing that βwe come to the same conclusions if we start from the same premisesβ.
Models allow us to understand the world by bridging subjectivity with objectivity, and the personal with the collective
Many contemporary philosophers are at odds with the idealized view of science as an objective and linear enterprise that produces theories from a Godβs-eye view. Instead, they strive to portray it as something that is social and human, but reliable nonetheless. Jaffeβs own views seem to align with this endeavour; as he puts it, βthe scientific coupling of models and observations is a living, breathing, subjective endeavour, simultaneously collective and personalβ. Through their interplay with data, he argues, models allow us to understand the world by bridging subjectivity with objectivity, and the personal with the collective.
Not everyone will agree with Jaffe that Bayesian probability offers a solution to Humeβs problem of induction. Personally, I (or perhaps the hardcore rationalist in me) was not convinced. Nevertheless, I found the bookβs thesis β that uncertainty is not a hindrance to knowledge, but an opportunity to learn (and learn more) about the world β simultaneously liberating, humbling and empowering. I recommend The Random Universe to scientists, philosophers and anyone interested in better understanding the role of probability in science; the philosophical problems with how we handle uncertainty; and how our standard cosmological model came to be. I also hope it will encourage more collaborations between philosophers and scientists. There are many questions we can explore further if we work together.
The post Knowing through uncertainty: probability and the evolution of our cosmos appeared first on Physics World.
Tissue engineering offers a means to restore, maintain or replace biological tissues. But it is difficult to grow blood vessels using conventional fabrication techniques like 3D printing, as they are typically not precise enough to print fine capillaries and veins. A team of engineers from the Massachusetts Institute of Technology (MIT) has now developed a new approach to do just that, by using mechanical forces. Their blood-vessel-on-a-chip could be the first step in the scalable production of vascular networks that could then be implanted in the body to replace tissue that has been damaged by disease or injury.
The researchers, led by Ritu Raman, made their chip by filling a Petri dish with a gel containing nutrients and cell-growth factors. They then embedded a small magnet into the gel. Finally, they introduced a thin, hollow tube into the gel and coated the inside of the tube with live endothelial cells β the cells that naturally line blood vessels in the body.
Once anchored onto the inner walls of the tube, the endothelial cells began sprouting new, capillary-like vessels in the gel. And when the researchers moved the embedded magnet back and forth in different directions and by varying degrees, they found that the mechanical forces created by the moving magnet could stretch the vessels and increase the number of new capillaries that grew, as well as their length.
βWe also showed that blood vessel growth, or angiogenesis, could be directionally patterned using the mechanical forces created by the magnet and that these directions could change dynamically over time,β explains Raman. βThis allows us to βsteerβ blood vessel growth in all three spatial directions (x, y, z) and make complex geometries (like L-shaped branches) that would not be possible to fabricate using conventional methods.β
The researchers had previously demonstrated that biological cells are highly responsive to mechanical forces in the body, but they did not know how different types of forces β for example, stretching in different directions and at different degrees and frequencies β impacted the 3D structure of blood vessels. The main obstacle lay in developing a coupled magnet system to precisely stretch blood vessels in different directions. To achieve this, they designed a method for mechanically stimulating tissues, dubbed βmagnetic matrix actuationβ.
In their new work, which is detailed in PNAS, they went a step further and developed a method to accurately yet non-invasively stretch 3D blood vessel tissues they had built in the laboratory.
To better understand the effect of mechanical forces on angiogenesis, the MIT team decided to look into the role of a gene known as PIEZO1, which is just one of the many mechanically sensitive genes in the body. They built on the work of molecular biologist Ardem Patapoutian, who received the 2021 Nobel Prize in Physiology or Medicine for discovering that ion channels in cells open and close in response to mechanical pressure. One such ion channel is PIEZO1, which is regulated by the PIEZO1 gene.
By suppressing this PIEZO1 gene in the endothelial cells they studied, the researchers indeed observed that significantly fewer new blood vessels grew in the gel. This, they say, provides evidence that the applied mechanical forces in their experiment may have been opening the PIEZO1 ion channel in the endothelial cells, so triggering the new blood vessel growth.
βMy group has always been interested in engineering artificial tissues that can be implanted in the body to repair damage caused by disease or traumatic injury, but such artificial tissues require integrated networks of blood vessels in order to function,β says Raman. βWe hope that our method for precisely fabricating complex networks of blood vessels within engineered tissues will enable the development of such implants,β she tells Physics World.
The post Artificial blood vessels grow with the help of mechanical forces appeared first on Physics World.
The Mediterranean coast faces rising microplastic contamination as researchers trace pollution to waste processing, runoff, and record rainfall.


We need the North Carolina General Assembly to step up and protect their constituents as the EPA rolls out its stated plans to eliminate nationwide drinking water standards for PFAS, a known human health risk.


New EU packaging regulations will come into force this week which set EU-wide limits on PFAS, or "forever chemicals", in food-contact packaging and set targets to cut the bloc's waste, especially of oil-derived plastics.

Pesticide manufacturers have voluntarily canceled registrations for products containing paraquat in California β kicking off a statewide phase-out of the controversial herbicide.

Companies that manufacture, use, or transport nurdles must report spills and will be required to develop plans to limit them in storm runoff.


As Trumpβs agencies shrink, narrow their role, and reduce enforcement, politically connected Energy Transfer is steering a slow cleanup of fuel it spilled into drinking water near the Delaware River.


The planned Pecos County facility may generate the most greenhouse gas emissions of any single site in the U.S.

One resident said he βwasnβt expecting black smoke,β which can signal higher levels of toxic pollutants in the air. Another said sheβs concerned about potential health impacts because she wants to have a family.

