The two-meter skull of a newly discovered species of giant ichthyosaur, the earliest known, is shedding new light on the marine reptiles’ rapid growth into behemoths of the Dinosaurian oceans, and helping us better understand the journey of modern cetaceans (whales and dolphins) to becoming the largest animals to ever inhabit the Earth. 

While dinosaurs ruled the land, ichthyosaurs and other aquatic reptiles (that were emphatically not dinosaurs) ruled the waves, reaching similarly gargantuan sizes and species diversity. Evolving fins and hydrodynamic body-shapes seen in both fish and whales, ichthyosaurs swam the ancient oceans for nearly the entirety of the Age of Dinosaurs. 

“Ichthyosaurs derive from an as yet unknown group of land-living reptiles and were air-breathing themselves,” says lead author Dr. Martin Sander, a paleontologist at the University of Bonn and Research Associate with the Dinosaur Institute at the Natural History Museum of Los Angeles County (NHM). “From the first skeleton discoveries in southern England and Germany over 250 years ago, these ‘fish-saurians’ were among the first large fossil reptiles known to science, long before the dinosaurs, and they have captured the popular imagination ever since.”

Excavated from a rock unit called the Fossil Hill Member in the Augusta Mountains of Nevada, the well-preserved skull, along with part of the backbone, shoulder, and fore fin, date back to the Middle Triassic (247.2-237 million years ago), representing the earliest case of an ichthyosaur reaching epic proportions. As big as a large sperm whale at more than 17 meters (55.78 feet) long, the newly named Cymbospondylus youngorum is the largest animal yet discovered from that time, on land or in the sea. It was the first giant creature to ever inhabit the Earth that we know of.

“The importance of the find was not immediately apparent,” notes Dr. Sander, ”because only a few vertebrae were exposed on the side of the canyon. However, the anatomy of the vertebrae suggested that the front end of the animal might still be hidden in the rocks. Then, one cold September day in 2011, the crew needed a warm-up and tested this suggestion by excavation, finding the skull, forelimbs, and chest region.”

The new name for the species, C. youngorum, honors a happy coincidence, the sponsoring of the fieldwork by Great Basin Brewery of Reno, owned and operated by Tom and Bonda Young, the inventors of the locally famous Icky beer which features an ichthyosaur on its label.

In other mountain ranges of Nevada, paleontologists have been recovering fossils from the Fossil Hill Member’s limestone, shale, and siltstone since 1902, opening a window into the Triassic. The mountains connect our present to ancient oceans and have produced many species of ammonites, shelled ancestors of modern cephalopods like cuttlefish and octopuses, as well as marine reptiles. All these animal specimens are collectively known as the Fossil Hill Fauna, representing many of C. youngorum’s prey and competitors.

C. youngorum stalked the oceans some 246 million years ago, or only about three million years after the first ichthyosaurs got their fins wet, an amazingly short time to get this big. The elongated snout and conical teeth suggest that C. youngorum preyed on squid and fish, but its size meant that it could have hunted smaller and juvenile marine reptiles as well. 

The giant predator probably had some hefty competition. Through sophisticated super computational modeling, the authors examined the likely energy running through the Fossil Hill Fauna’s food web, recreating the ancient environment through data, finding that marine food webs were able to support a few more colossal meat-eating ichthyosaurs. Ichthyosaurs of different sizes and survival strategies proliferated, comparable to modern cetaceans’— from relatively small dolphins to massive filter-feeding baleen whales, and giant squid-hunting sperm whales.

Co-author and ecological modeler Dr. Eva Maria Griebeler from the University of Mainz in Germany notes, “due to their large size and resulting energy demands, the densities of the largest ichthyosaurs from the Fossil Hill Fauna including C. youngourum must have been substantially lower than suggested by our field census. The ecological functioning of this food web from ecological modeling was very exciting as modern highly productive primary producers were absent in Mesozoic food webs and were an important driver in the size evolution of whales.”

Whales and ichthyosaurs share more than a size range. They have similar body plans, and both initially arose after mass extinctions. These similarities make them scientifically valuable for comparative study. The authors' combined supercomputer modeling and traditional paleontology show how these marine animals reached record-setting sizes independently. 

“One rather unique aspect of this project is the integrative nature of our approach. We first had to describe the anatomy of the giant skull in detail and determine how this animal is related to other ichthyosaurs,” says senior author Dr. Lars Schmitz, Associate Professor of Biology at Scripps College and Dinosaur Institute Research Associate. “We did not stop there, as we wanted to understand the significance of the discovery in the context of the large-scale evolutionary pattern of ichthyosaur and whale body sizes, and how the fossil ecosystem of the Fossil Hill Fauna may have functioned. Both the evolutionary and ecological analyses required a substantial amount of computation, ultimately leading to a confluence of modeling with traditional paleontology.”

They found that while both cetaceans and ichthyosaurs evolved very large body sizes, their respective evolutionary trajectories toward gigantism were different. Ichthyosaurs had an initial boom in size, becoming giants early on in their evolutionary history, while whales took much longer to reach the outer limits of huge. They found a connection between large size and raptorial hunting—think of a sperm whale diving down to hunt giant squid—and a connection between large size and a loss of teeth—think of the giant filter-feeding whales that are the largest animals ever to live on Earth.

Ichthyosaurs' initial foray into gigantism was likely thanks to the boom in ammonites and jawless eel-like conodonts filling the ecological void following the end-Permian mass extinction. While their evolutionary routes were different, both whales and ichthyosaurs relied on exploiting niches in the food chain to make it big.

“As researchers, we often talk about similarities between ichthyosaurs and cetaceans, but rarely dive into the details. That’s one way this study stands out, as it allowed us to explore and gain some additional insight into body size evolution within these groups of marine tetrapods,” says NHM’s Associate Curator of Mammalogy (Marine Mammals), Dr. Jorge Velez-Juarbe. “Another interesting aspect is that Cymbospondylus youngorum and the rest of the Fossil Hill Fauna are a testament to the resilience of life in the oceans after the worst mass extinction in Earth's history. You can say this is the first big splash for tetrapods in the oceans.”

C. youngorum will be permanently housed at the Natural History Museum of Los Angeles County, where it is currently on view. Visit NHM.ORG/ichthyosaur to learn more.

The researchers published their findings in Science.

Technologies that take advantage of novel quantum mechanical behaviors are likely to become commonplace in the near future. These may include devices that use quantum information as input and output data, which require careful verification due to inherent uncertainties. The verification is more challenging if the device is time-dependent when the output depends on past inputs. For the first time, researchers using machine learning dramatically improved the efficiency of verification for time-dependent quantum devices by incorporating a certain memory effect present in these systems. 

Quantum computers make headlines in the press, but these machines are in their infancy. A quantum internet, however, maybe a little closer to the present. This would offer significant security advantages over our current internet, amongst other things. But even this will rely on technologies that have yet to see the light of day outside the lab. While many fundamentals of the devices that can create our quantum internet may have been worked out, there are many engineering challenges in order to realize these as products. But much research is underway to create tools for the design of quantum devices.

Postdoctoral researcher Quoc Hoan Tran and Associate Professor Kohei Nakajima from the Graduate School of Information Science and Technology at the University of Tokyo have pioneered just such a tool, which they think could make verifying the behavior of quantum devices a more efficient and precise undertaking than it is at present. Their contribution is an algorithm that can reconstruct the workings of a time-dependent quantum device by simply learning the relationship between the quantum inputs and outputs. This approach is actually commonplace when exploring a classical physical system, but quantum information is generally tricky to store, which usually makes it impossible.

“The technique to describe a quantum system based on its inputs and outputs is called quantum process tomography,” said Tran. “However, many researchers now report that their quantum systems exhibit some kind of memory effect where present states are affected by previous ones. This means that a simple inspection of input and output states cannot describe the time-dependent nature of the system. You could model the system repeatedly after every change in time, but this would be extremely computationally inefficient. Our aim was to embrace this memory effect and use it to our advantage rather than use brute force to overcome it.”

Tran and Nakajima turned to machine learning and a technique called quantum reservoir supercomputing to build their novel algorithm. This learns patterns of inputs and outputs that change over time in a quantum system and effectively guesses how these patterns will change, even in situations the algorithm has not yet witnessed. As it does not need to know the inner workings of a quantum system as a more empirical method might, but only the inputs and outputs, the team’s algorithm can be simpler and produce results faster as well.

“At present, our algorithm can emulate a certain kind of quantum system, but hypothetical devices may vary widely in their processing ability and have different memory effects. So the next stage of research will be to broaden the capabilities of our algorithms, essentially making something more general-purpose and thus more useful,” said Tran. “I am excited by what quantum machine learning methods could do, by the hypothetical devices they might lead to.”

Scientists predict that continued global warming under current trends could lead to an elevation of the sea level by as much as five meters by the year 3000 CE.

One of the many effects of global warming is sea-level rise due to the melting and retreat of the Earth’s ice sheets and glaciers as well as other sources. As the sea level rises, large areas of densely populated coastal land could ultimately become uninhabitable without extensive coastal modification. It is therefore vital to understand the impact of different pathways of future climate change on changes in sea level caused by ice sheets and glaciers. 

A team of researchers from Hokkaido University, The University of Tokyo, and the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) explored the long-term perspective for the Antarctic ice sheet beyond the 21st century under global-warming conditions, assuming late 21st-century climatic conditions remain constant. Their models and conclusions were published in the Journal of Glaciology.

The Ice Sheet Model Intercomparison Project for the Coupled Model Intercomparison Project Phase 6 (ISMIP6) was a major international effort that used the latest generation of models to estimate the impact of global warming on the ice sheets of Antarctica and Greenland. The objective was to provide input for the recently published Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC). The contribution of the Antarctic ice sheet to sea-level rise by 2100 was assessed to be in the range between −7.8 and 30.0 centimeters under unabated warming and between 0 and 3 centimeters under reduced emissions of greenhouse gases.

The team used the ice-sheet model SICOPOLIS (SImulation COde for POLythermal Ice Sheets) to extend the whole ISMIP6 ensemble of fourteen experiments for the unabated warming pathway and three for the reduced emissions pathway. Until the year 2100, the set-up was the same as in the original ISMIP6 experiments. For the time beyond 2100, it was assumed that the late 21st-century climatic conditions remain constant—no further climate trend was applied. The team analyzed the results of the simulations for the total mass change of the ice sheet, regional changes in West Antarctica, East Antarctica, and the Antarctic Peninsula, and also the different contributors to mass change.

The simulations of mass loss of the Antarctic ice sheet show that, by the year 3000, the unabated warming pathway produces a sea-level equivalent (SLE) of as much as 1.5 to 5.4 meters, while for the reduced emissions pathway the SLE would be only 0.13 to 0.32 meters. The main reason for the decay under the unabated warming pathway is the collapse of the West Antarctic ice sheet, made possible by the fact that the West Antarctic ice sheet is grounded on a bed that is mostly well below sea level.

“This study demonstrates clearly that the impact of 21st-century climate change on the Antarctic ice sheet extends well beyond the 21st century itself, and the most severe consequences — multi-meter contribution to sea-level rise — will likely only be seen later,” says Dr. Christopher Chambers of Hokkaido University’s Institute of Low-Temperature Science and lead author of the paper. “Future work will include basing simulations on more realistic future climate scenarios, as well as using other ice-sheet models to model the outcomes.”

Launching in August 2022 and arriving at the asteroid belt in 2026, NASA’s Psyche spacecraft will orbit a world we can barely pinpoint from Earth and have never visited. 

The target of NASA’s Psyche mission – a metal-rich asteroid, also called Psyche, in the main belt between Mars and Jupiter – is an uncharted world in outer space. From Earth- and space-based telescopes, the asteroid appears as a fuzzy blur. What scientists do know, from radar data, is that it’s shaped somewhat like a potato and that it spins on its side.

By analyzing light reflected off the asteroid, scientists hypothesize that asteroid Psyche is unusually rich in metal. One possible explanation is that it formed early in our solar system, either as a core of a planetesimal – a piece of a planet – or as primordial material that never melted. This mission aims to find out, and in the process of doing so, they expect to help answer fundamental questions about the formation of our solar system.

“If it turns out to be part of a metal core, it would be part of the very first generation of early cores in our solar system,” said Arizona State University’s Lindy Elkins-Tanton, who as principal investigator leads the Psyche mission. “But we don’t really know, and we won’t know anything for sure until we get there. We wanted to ask primary questions about the material that built planets. We’re filled with questions and not a lot of answers. This is real exploration.”

Elkins-Tanton led the group that proposed Psyche as a NASA Discovery-class mission; it was selected in 2017. A huge challenge, she said, was choosing the mission’s science instruments: How do you make sure you’ll get the data you need when you’re not sure of what, specifically, you’ll be measuring?

For example, to determine what exactly the asteroid is made of and whether it’s part of a planetesimal core, scientists needed instruments that could account for a range of possibilities: nickel, iron, different kinds of rock, or rock and metal mixed.

They selected a payload suite that includes a magnetometer to measure any magnetic field; imagers to photograph and map the surface, and spectrometers to indicate what the surface is made of by measuring the gamma rays and neutrons emitted from it. Scientists continue to hypothesize about what Psyche is made of, but “no one’s been able to come up with a Psyche that we can’t handle with the science instruments we have,” Elkins-Tanton said.

How to Tour an Unknown World

But before scientists can put those instruments to work, they’ll need to reach the asteroid and get into orbit. After launching from NASA’s Kennedy Space Center in August 2022, Psyche will sail past Mars nine months later, using the planet’s gravitational force to slingshot itself toward the asteroid. It’s a total journey of about 1.5 billion miles (2.4 billion kilometers).

The spacecraft will begin its final approach to the asteroid in late 2025. As the spacecraft gets closer to its target, the mission team will turn its cameras on, and the visual of asteroid Psyche will morph from the fuzzy blob we know now into high-definition, revealing surface features of this strange world for the first time. The imagery also will help engineers get their bearings as they prepare to slip into orbit in January 2026. The spacecraft’s initial orbit is designed to be at a high, safe altitude – about 435 miles (700 kilometers) above the asteroid’s surface.

During this first orbit, Psyche’s mission design and navigation team will be laser-focused on measuring the asteroid’s gravity field, the force that will keep the spacecraft in orbit. With an understanding of the gravity field, the team can then safely navigate the spacecraft closer and closer to the surface as the science mission is carried out in just under two years.

Psyche appears to be lumpy, wider across (173 miles, or 280 kilometers, at its widest point) than it is from top to bottom, with an uneven distribution of mass. Some parts may be less dense, like a sponge, and some may be more tightly packed and more massive. The parts of Psyche with more mass will have higher gravity, exerting a stronger pull on the spacecraft.

To solve the gravity-field mystery, the mission team will use the spacecraft’s telecommunications system. By measuring subtle changes in the X-band radio waves bouncing back and forth between the spacecraft and the large Deep Space Network antennas around Earth, engineers can precisely determine the asteroid’s mass, gravity field, rotation, orientation, and wobble.

The team has been working up scenarios and has devised thousands of “possible Psyches” – simulating variations in the asteroid’s density and mass, and orientation of its spin axis – to lay the groundwork for the orbital plan. They can test their models in supercomputer simulations, but there’s no way to know for sure until the spacecraft gets there.

Over the following 20 months, the spacecraft will use its gentle electric propulsion system to dip into lower and lower orbits. Measurements of the gravity field will grow more precise as the spacecraft gets closer, and images of the surface will become higher resolution, allowing the team to improve their understanding of the body. Eventually, the spacecraft will establish a final orbit about 53 miles (85 kilometers) above the surface.

It’s all to solve the riddles of this unique asteroid: Where did Psyche come from, what is it made of, and what does it tell us about the formation of our solar system?

“Humans have always been explorers,” Elkins-Tanton said. “We’ve always set out from where we are to find out what is over that hill. We always want to go farther; we always want to imagine. It’s inherent in us. We don’t know what we’re going to find, and I’m expecting us to be entirely surprised.”