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“The changes we see preserved in the rock record are driven by large-scale changes in the Martian environment,” said Dr. David Paige. “It’s cool that we can see so much evidence of change in such a small geographic area, which allows us extend our findings to the scale of the entire crater.”


NASA’s Perseverance (Percy) rover has been exploring Jezero Crater on Mars since it landed there in February 2021. During that time, it has made some truly remarkable discoveries and helped us better understand the history of the Red Planet and whether it could have once supported life long ago. It has long been hypothesized that Jezero Crater was once home to a massive lake of liquid water billions of years ago, and a recent study published in Science Advances by the University of California, Los Angeles (UCLA) and the University of Oslo might have confirmed the most precise data to date regarding this hypothesis.

For the study, the researchers used the RIMFAX ground penetrating radar, which can take radar images up to 20 meters (65 feet) below Percy’s location, to analyze the geologic layers underneath the rover. These images gave researchers a first-time glimpse into the former crater floor that has been slowly buried over vast periods of geologic time.

What they found were geologic layers that are consistent with a former lake being present within Jezero Crater at some point deep in the Red Planet’s history. This included layers that indicated sediments from the flow of water having been deposited along with layers indicating erosion took place, with the latter occurring both before and after the deposits.

Jonathan Oppenheim at University College London has developed a new theoretical framework that aims to unify quantum mechanics and classical gravity – without the need for a theory of quantum gravity. Oppenheim’s approach allows gravity to remain classical, while coupling it to the quantum world by a stochastic (random) mechanism.

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For decades, theoretical physicists have struggled to reconcile Einstein’s general theory of relativity – which describes gravity — with quantum theory, which describes just about everything else in physics. A fundamental problem is that quantum theory assumes that space–time is fixed, whereas general relativity says that space–time changes dynamically in response to the presence of massive objects.

In 1948, Schwinger developed a local Lorentz-covariant formulation of relativistic quantum electrodynamics in space-time which is fundamentally inconsistent with any delocalized interpretation of quantum mechanics. An interpretation compatible with Schwinger’s theory is presented, which reproduces all of the standard empirical predictions of conventional delocalized quantum theory in configuration space. This is an explicit, unambiguous, and Lorentz-covariant “local hidden variable theory” in space-time, whose existence proves definitively that such theories are possible. This does not conflict with Bell’s theorem because it is a local many-worlds theory.

Evidence of ancient lake sediments at the base of Mars’ Jezero Crater offer new hope for finding traces of life in samples collected by NASA’s Perseverance rover.

Perseverance touched down on Feb. 18, 2021 inside the Red Planet’s 28-mile-wide (45 kilometers) Jezero Crater, which is believed to have once hosted a large lake and river delta. The rover has been scouring the crater in search of signs of past life and collecting and caching dozens of samples along the way for a possible future return to Earth.

The Big Ring in the Sky is 9.2 billion light-years from Earth. It has a diameter of about 1.3 billion light-years, and a circumference of about 4 billion light-years. If we could step outside and see it directly, the diameter of the Big Ring would need about 15 full moons to cover it.

It is the second ultra-large structure discovered by University of Central Lancashire (UCLan) Ph.D. student Alexia Lopez who, two years ago, also discovered the Giant Arc in the Sky. Remarkably, the Big Ring and the Giant Arc, which is 3.3 billion light-years across, are in the same cosmological neighborhood—they are seen at the same distance, at the same cosmic time, and are only 12 degrees apart in the sky.

Alexia said, Neither of these two ultra-large structures is easy to explain in our current understanding of the universe. And their ultra-large sizes, distinctive shapes, and cosmological proximity must surely be telling us something important—but what exactly?

The Little Helicopter That Could, also known as NASA’s Ingenuity Mars Helicopter, has unfortunately ended its mission of exploring the surface of Mars after a historic 72 flights since its first flight in April 2021. The decision to end the mission came after teams discovered that at least one rotor blade was damaged enough to where it could no longer perform aerial duties. Despite this, Ingenuity remains standing upright and communicating with Earth continues, as well.

“The historic journey of Ingenuity, the first aircraft on another planet, has come to end,” NASA Administrator Bill Nelson said in a statement. “That remarkable helicopter flew higher and farther than we ever imagined and helped NASA do what we do best – make the impossible, possible. Through missions like Ingenuity, NASA is paving the way for future flight in our solar system and smarter, safer human exploration to Mars and beyond.”

Launched onboard NASA’s Perseverance rover on July 30, 2020, and landing in Jezero Crater on Mars on February 18, 2021, Ingenuity became the first aircraft to perform a powered flight on another world on April 19, 2021. Ingenuity was originally built for a 30-day mission where it would conduct five experimental flights to demonstrate that powered flight could be achieved on another planetary body other than Earth. With a total of 72 flights under its belt, Ingenuity has far exceeded expectations in terms of its original goals and objectives. This includes a horizontal flight distance of 2,315 feet (705 meters), which was accomplished just last month on December 20, 2023.

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.