Toggle light / dark theme

Astronomers have made the first measurement of spin-orbit alignment for a distant ‘super-Jupiter’ planet, demonstrating a technique that could enable breakthroughs in the quest to understand how exoplanetary systems form and evolved.

An international team of scientists, led by Professor Stefan Kraus from the University of Exeter, has carried out the measurements for the exoplanet Beta Pictoris b—located 63 light years from Earth.

The planet, found in the Pictor constellation, has a mass of around 11 times that of Jupiter and orbits a young star on a similar as Saturn in our solar system.

Pluto is thought to possess a subsurface ocean beneath its thick ice shell. It has generally been assumed that the dwarf planet formed out of cold material and then later developed its ocean due to warming from radioactive decay. By combining numerical simulations with geological observations by NASA’s New Horizons mission, a team of researchers from the University of California Santa Cruz and the Southwest Research Institute demonstrated that Pluto was instead relatively hot when it formed, with an early subsurface ocean.

How would the Sun look as it dipped below the horizon on a long (17 hour) day on Uranus? Or what would a late-night sunset on Mars look like, when we finally get there? Thanks to some NASA computer modelling, these scenarios are now a little easier to imagine.

What makes a sunset is the interplay of light from the Sun – which includes all the colours of the rainbow – together with the gases and dust in the atmosphere. The less atmosphere, the less impressive the sunset.

Planetary scientist Geronimo Villanueva, from NASA’s Goddard Space Flight Center in Greenbelt, has created simulations of how sunsets might look on Venus, Mars, Uranus, the Saturn moon Titan, and Trappist-1e.

Moving at eight kilometers (five miles) per second, the International Space Station (ISS) circles our planet every 90 minutes. In a 24-hour period, crew members on the ISS experience 16 sunrises and sunsets. Despite how often the station passes directly between Earth and the Sun, capturing an image of the ISS transiting our nearest star is rare.

On June 24, 2020, NASA photographer Joel Kowsky captured such an occurrence from Fredericksburg, Virginia. The image above is a composite, made from six frames, and shows the ISS in silhouette as it moved from right to left across the solar disk while orbiting 400 kilometers (250 miles) above Earth.

The image below shows the position of the ISS in its orbit as Kowsky snapped his photos at approximately 1:15 p.m. U.S. Eastern Daylight Time. The transit lasted approximately 0.54 seconds and was captured while his camera was shooting at 10 frames per second. Watch a video of the transit below.

In the strange field of quantum physics, quantum entanglement – what Einstein called “spooky action at a distance” – stands out as one of the most intriguing phenomena. And now scientists just managed to successfully demonstrate it again, this time onboard a CubeSat satellite orbiting Earth.

Quantum entanglement is where two particles become inextricably linked across a distance, so that one serves as an indicator of the other in a certain aspect. That unbreakable link might one day form the basis of a super-fast, super-secure quantum internet.

While a quantum internet is still some way off, if we want to make it work, it’s going to require something other than optical fibres.

NetHack, which was first released in 1987, is more sophisticated than might be assumed. It tasks players with descending more than 50 dungeon levels to retrieve a magical amulet, during which they must use hundreds of items and fight monsters while contending with rich interactions between the two. Levels in NetHack are procedurally generated and every game is different, which the Facebook researchers note tests the generalization limits of current state-of-the-art AI.


Facebook researchers believe the game NetHack is well-tailored to training, testing, and evaluating AI models. Today, they released the NetHack Learning Environment, a research tool for benchmarking the robustness and generalization of reinforcement learning agents.

For decades, games have served as benchmarks for AI. But things really kicked into gear in 2013 — the year Google subsidiary DeepMind demonstrated an AI system that could play Pong, Breakout, Space Invaders, Seaquest, Beamrider, Enduro, and Q*bert at superhuman levels. The advancements aren’t merely improving game design, according to folks like DeepMind cofounder Demis Hassabis. Rather, they’re informing the development of systems that might one day diagnose illnesses, predict complicated protein structures, and segment CT scans.