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NASA on a regular basis shares pictures on its social media handles of missions currently underway. But occasionally, it takes us down the memory lane too. On Thursday, July 8, the American space agency shared images of a mission from a decade ago on its Twitter and Instagram handles. It was on this day back in 2011 that space shuttle Atlantis lifted off from the John F. Kennedy Space Center in Florida. In a four-slide post on Instagram, NASA shared images of Atlantis lifting off, “riding a plume of fire,” to the International Space Station.

The third picture in the post shows the spacecraft in the space, and the fourth landing back after completing the mission. That was also the last flight of the Atlantis. “Exactly 10 years ago today, the final mission of our American Space Shuttle Program lifted off from @NASAKennedy at 11:29 a.m. EDT en route to the International Space Station (@ISS),” read the caption to the post.

NASA it was an emotional end to an era for many. “This launch was the final chapter in a 30-year history of space shuttle flights from the Florida Space Coast,” the post further read.

Aboard the shuttle Atlantis was a crew of four NASA astronauts — Commander Chris Ferguson, Pilot Doug Hurley, along with Mission Specialists Sandy Magnus and Rex Walheim — who set on the STS-135 mission. During this final space shuttle mission, the crew delivered payloads and supplies to support the International Space Station for more than one year, said NASA.

Here’s a GIF of the Orbiter Atlantis lifting off from the Keneddy Space Centre, posted on Twitter by NASA.

On July 15, 2011, Barack Obama, the then-US President, held a radio conversation with the combined shuttle and station crews. “We’re all watching as the 10 of you work together as a team,” Obama said. Your example means so much not just to your fellow Americans, but also your fellow citizens on Earth, the former President added. The space programme has always embodied our sense of adventure and explorations and courage, he further said.

On July 21, 2011, as seen in the last picture of the post, Atlantis dropped out of the predawn darkness and landed at Kennedy’s Shuttle Landing Facility Runway 15.

“Caught in the last seconds by the runway lights, a space shuttle rolled to a stop for the final time,” said the agency.

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Climate Satellite MethaneSAT Fails After Just One Year in Orbit

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July 5, 2025

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Climate Satellite MethaneSAT Fails After Just One Year in Orbit

One of the world’s most advanced satellites for detecting methane and other gases that contribute to the warming of the planet has gone dark and stopped communicating with ground-based controllers just over a year after being launched into orbit. Created by the nonprofit Environmental Defense Fund (EDF), the satellite — estimated to cost as much as $88 million — hitched a ride into space on a SpaceX rocket in March 2024. It was charged with monitoring methane leaks from oil and gas operations, and then making the data available to policymakers and scientists through open access. But on June 20, contact with the satellite was lost, and attempts to recover it have failed. EDF officially reported on July 1 that MethaneSAT has lost power and appears unlikely to recover.

MethaneSAT Failure Marks Setback for Climate Transparency Despite Data Gains and Global Support

As per a statement released by EDF, MethaneSAT’s failure came despite multiple recovery attempts. The satellite was constructed to lift the veil off methane’s invisible, weighty impact on global warming. It is nowhere near as common as carbon dioxide, but over a timescale of, say, a century, it is 20 to 30 times more efficient at trapping heat in the atmosphere than carbon dioxide. That makes its emissions a prime target in the effort to minimize the risks of global warming. MethaneSAT was developed to independently corroborate industrial methane reports, especially those from fossil fuel extraction. The loss of the satellite is a remarkable setback for transparency in climate science and monitoring of emissions worldwide.

Yet mission operators are hopeful that data already collected will have far-reaching effects. EDF emphasized that insights from MethaneSAT’s year in orbit will continue to be processed and made public in the coming months. The mission included backing from 10 partners such as Harvard University, the New Zealand Space Agency, BAE Systems, Google, and the Bezos Earth Fund.

Officials called MethaneSAT a bold and needed move to hold our climate accountable. Although the mission was cut short, it signaled one of the largest joint efforts between science, advocacy, and technology to battle climate change. “To succeed in meeting the climate challenge, we need bold action and fearless innovation,” EDF mentioned, describing the satellite as “at the vanguard of science.”
MethaneSAT’s brief history highlights the difficulty — and importance — of deploying space-based instruments to try and combat climate change. As other missions get ready to blaze the same trail, the data and experience this little spacecraft provided will influence the future of Earth observation.

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Microsoft Says Xbox Chief Phil Spencer Not Retiring ‘Anytime Soon’ After Rumour Surfaces Amid Layoffs

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New Interstellar Comet 3I/ATLAS Speeds Through Solar System

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July 5, 2025

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New Interstellar Comet 3I/ATLAS Speeds Through Solar System

A newly confirmed interstellar comet is making a rare passage through our solar system — and skywatchers can catch it live online tonight. The object, now called 3I/ATLAS, is just the third interstellar visitor ever detected after the well-known ‘Oumuamua (2017) and 2I/Borisov (2019). The comet was so fresh when first detected on July 1 by the ATLAS telescope in Chile that it hadn’t even been given a name yet; the Minor Planet Center has it listed as “3I,” the “I” standing for interstellar. Tonight’s webcast will kick off at 6 p.m. EDT (2200 GMT) from the Virtual Telescope Project’s virtual observing facilities in Italy.

Interstellar Comet 3I/ATLAS Speeds Toward Sun at 68 km/s, Offers Rare Study Opportunity

As per a report by Space.com, 3I/ATLAS was detected as a faint object displaying subtle cometary features, including a marginal coma and a short tail. Currently located 4.5 astronomical units (AU) from the sun — about 670 million kilometers (416 million miles) — the comet is faint at magnitude 18.8, making it invisible to amateur telescopes. The interstellar object is traveling at an astonishing pace of 68 kilometers per second (152,000 mph) relative to the sun, but NASA officials say it poses no danger to Earth.

It was imaged by the Virtual Telescope Project on July 2, showing the comet as a point of light within the trailing background stars — a sure indication that it is indeed moving through space. 3I/ATLAS should brighten a little as it approaches the sun, particularly when it gets closest, or its perihelion, on Oct. 30, when it swings within 1.4 astronomical units of the sun or Mars’ orbit.

The close pass by this interstellar visitor is a rare chance for astronomers to study the materials and dynamics outside our solar system. 3I/ATLAS, which is racing along at a frenetic pace on an elliptical orbit, may also support research into how these objects change as they sit in different stellar environments.

After disappearing behind the sun in late fall, 3I/ATLAS is projected to return to observational reach in early December. Researchers anticipate further analysis then, expanding our understanding of these rare visitors that traverse the galaxy — and occasionally, pass through our celestial neighborhood.

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The Hunt: Rajiv Gandhi Assassination Now Available For Streaming on SonyLIV

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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

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July 4, 2025

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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

Researchers at Australia’s CSIRO have achieved a world-first demonstration of quantum machine learning in semiconductor fabrication. The quantum-enhanced model outperformed conventional AI methods and could reshape how microchips are designed. The team focused on modeling a crucial—but hard to predict—property called “Ohmic contact” resistance, which measures how easily current flows where metal meets a semiconductor.

They analysed 159 experimental samples from advanced gallium nitride (GaN) transistors (known for high power/high-frequency performance). By combining a quantum processing layer with a final classical regression step, the model extracted subtle patterns that traditional approaches had missed.

Tackling a difficult design problem

According to the study, the CSIRO researchers first encoded many fabrication variables (like gas mixtures and annealing times) per device and used principal component analysis (PCA) to shrink 37 parameters down to the five most important ones. Professor Muhammad Usman – who led the study – explains they did this because “the quantum computers that we currently have very limited capabilities”.

Classical machine learning, by contrast, can struggle when data are scarce or relationships are nonlinear. By focusing on these key variables, the team made the problem manageable for today’s quantum hardware.

A quantum kernel approach

To model the data, the team built a custom Quantum Kernel-Aligned Regressor (QKAR) architecture. Each sample’s five key parameters were mapped into a five-qubit quantum state (using a Pauli-Z feature map), enabling a quantum kernel layer to capture complex correlations.

The output of this quantum layer was then fed into a standard learning algorithm that identified which manufacturing parameters mattered most. As Usman says, this combined quantum–classical model pinpoints which fabrication steps to tune for optimal device performance.

In tests, the QKAR model beat seven top classical algorithms on the same task. It required only five qubits, making it feasible on today’s quantum machines. CSIRO’s Dr. Zeheng Wang notes that the quantum method found patterns classical models might miss in high-dimensional, small-data problems.

To validate the approach, the team fabricated new GaN devices using the model’s guidance; these chips showed improved performance. This confirmed that the quantum-assisted design generalized beyond its training data.

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