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Sinking Stars: Climate-Induced Loss of Antarctic Meteorites

“We need to accelerate and intensify efforts to recover Antarctic meteorites,” said Dr. Harry Zekollari. “The loss of Antarctic meteorites is much like the loss of data that scientists glean from ice cores collected from vanishing glaciers – once they disappear, so do some of the secrets of the universe.”


How can climate change effect the search for meteorites in Antarctica? This is what a recent study published in Nature Climate Change hopes to address as an international team of researchers investigated how melting snow and ice could prevent successful identification of meteorites, of which approximately 60 percent of all meteorites retrieved on Earth have been found in Antarctica. This study holds the potential to help scientists, climate change activists, and legislators better understand the impacts of climate change on science, as meteorites are crucial for gaining greater insight into the formation and evolution of the solar system and beyond.

With a combination of climate models, satellite observations, and artificial intelligence, the researchers estimate that at current rates, they will lose the ability to identify approximately 5,000 meteorites annually, with approximately 24 percent being lost by 2050 and potentially 76 percent by 2100.

AI Could Explain Why We’re Not Meeting Any Aliens, Wild Study Proposes

Artificial Intelligence is making its presence felt in thousands of different ways. It helps scientists make sense of vast troves of data; it helps detect financial fraud; it drives our cars; it feeds us music suggestions; its chatbots drive us crazy. And it’s only getting started.

Are we capable of understanding how quickly AI will continue to develop? And if the answer is no, does that constitute the Great Filter?

The Fermi Paradox is the discrepancy between the apparent high likelihood of advanced civilizations existing and the total lack of evidence that they do exist. Many solutions have been proposed for why the discrepancy exists. One of the ideas is the ‘Great Filter.’

Dark Energy Could Be Evolving Over Time, Raising Questions About the Nature of the Cosmos

The new research culminated in a 3D map that measures how the universe has been expanding over the past 11 billion years. The data was collected by the Dark Energy Spectroscopic Instrument (DESI), a part of the Nicholas U. Mayall Telescope at the Kitt Peak National Observatory in Arizona.

Five thousand tiny robots on the telescope collect data at an unprecedented rate, per a statement from the observatory. Since it started scanning the sky in 2021, DESI has observed 5,000 galaxies every 20 minutes, totaling more than 100,000 galaxies each night.

The new map, based on just the first year of DESI’s data, is the largest 3D map of the universe ever made, according to a statement from the Lawrence Berkeley National Laboratory (Berkeley Lab), which manages the project.

New Ultra-Low Power Memory for Neuromorphic Computing

KAIST researchers have created a low-power, cost-efficient phase change memory device, setting a new standard in memory technology.

A team of Korean researchers is making headlines by developing a new memory device that can be used to replace existing memory or used in implementing neuromorphic computing for next-generation artificial intelligence hardware for its low processing costs and ultra-low power consumption.

KAIST (President Kwang-Hyung Lee) announced on April 4th that Professor Shinhyun Choi’s research team in the School of Electrical Engineering has developed a next-generation phase change memory device featuring ultra-low-power consumption that can replace DRAM and NAND flash memory.

Not Science Fiction: Harvard Scientists Have Developed an “Intelligent” Liquid

Scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a programmable metafluid with tunable springiness, optical properties, viscosity and even the ability to transition between a Newtonian and non-Newtonian fluid.

The first-of-its-kind metafluid uses a suspension of small, elastomer spheres — between 50 to 500 microns — that buckle under pressure, radically changing the characteristics of the fluid. The metafluid could be used in everything from hydraulic actuators to program robots, to intelligent shock absorbers that can dissipate energy depending on the intensity of the impact, to optical devices that can transition from clear to opaque.

The research is published in Nature.

‘Lavender’: The AI machine directing Israel’s bombing spree in Gaza

In 2021, a book titled “The Human-Machine Team: How to Create Synergy Between Human and Artificial Intelligence That Will Revolutionize Our World” was released in English under the pen name “Brigadier General Y.S.” In it, the author — a man who we confirmed to be the current commander of the elite Israeli intelligence unit 8,200 — makes the case for designing a special machine that could rapidly process massive amounts of data to generate thousands of potential “targets” for military strikes in the heat of a war. Such technology, he writes, would resolve what he described as a “human bottleneck for both locating the new targets and decision-making to approve the targets.”

Such a machine, it turns out, actually exists. A new investigation by +972 Magazine and Local Call reveals that the Israeli army has developed an artificial intelligence-based program known as “Lavender,” unveiled here for the first time. According to six Israeli intelligence officers, who have all served in the army during the current war on the Gaza Strip and had first-hand involvement with the use of AI to generate targets for assassination, Lavender has played a central role in the unprecedented bombing of Palestinians, especially during the early stages of the war. In fact, according to the sources, its influence on the military’s operations was such that they essentially treated the outputs of the AI machine “as if it were a human decision.”

Formally, the Lavender system is designed to mark all suspected operatives in the military wings of Hamas and Palestinian Islamic Jihad (PIJ), including low-ranking ones, as potential bombing targets. The sources told +972 and Local Call that, during the first weeks of the war, the army almost completely relied on Lavender, which clocked as many as 37,000 Palestinians as suspected militants — and their homes — for possible air strikes.

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