Captain William D. Stanaforth (Mark Strong) is on a one-way solo mission, taking humanity’s first steps toward colonizing Mars. Although the entire world is watching him, he is completely alone in a dark and distant sea of stars. Stanaforth rockets bravely through space facing insurmountable odds, but as the journey takes a toll on his life-sustaining systems, he is forced to make impossible choices that threaten his sanity, mission and very existence.
Dr Konstantinos Dimopoulos, a physicist at the University of Lancaster, believes that at the centre of some galaxies – where densely packed gas and dust burns incredibly brightly around a supermassive black hole – powerful magnetic fields which fire out from the jets of the black holes could affect the properties of dark matter.
As the burning galactic nucleus churns, Dr Dimopoulos claim that one type of dark matter in particular, made of theoretical particles called axions, would be affected.
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SpaceX is planning to send Dragons to Mars as early as 2018. Red Dragon missions will help inform the overall Mars architecture that will be unveiled later this year.
These missions will help demonstrate the technologies needed to land large payloads propulsively on Mars.
“Through Squad X, we want to vastly improve dismounted squad effectiveness in all domains by integrating new and existing technologies into systems that squads can bring with them,” said Maj. Christopher Orlowski, DARPA program manager. “The squad is the formation with the greatest potential for impact and innovation, while having the lowest barrier to entry for experimentation and system development. The lessons we learn and the technology we create could not only transform dismounted squads’ capabilities, but also eventually help all warfighters more intuitively understand and control their complex mission environments.”
Squad X intends to combine off-the-shelf technologies and new capabilities under development through DARPA’s Squad X Core Technologies (SXCT) program, which was launched specifically to develop novel technologies that Squad X could integrate into user-friendly systems. SXCT shares Squad X’s overarching goal of ensuring that Soldiers and Marines maintain uncontested tactical superiority over potential adversaries by exploring capabilities in four areas: precision engagement, non-kinetic engagement, squad sensing and squad autonomy. In an important step toward that goal, SXCT recently awarded Phase 1 contracts to nine organizations.
The U.S. Army, U.S. Navy and U.S. Marine Corps have expressed interest in future Squad X capabilities and plan to support the experimentation efforts with testing in simulated operational environments as the program progresses.
You need multiple clones of yourself as a humanoid robots created from your own 3D printer; we may be well on our way with this announcement.
An unusual egg-shaped booth in Tallinn’s Seaplane Harbour is where a small team of Estonian engineers is testing its new invention.
It’s a 3D scanner booth that allows visitors to capture a highly detailed three-dimensional scan of their face. They can then order either a digital or a 3D-printed figurine of themselves.
What if a map of the brain could help us decode people’s inner thoughts?
Scientists at the University of California, Berkeley, have taken a step in that direction by building a “semantic atlas” that shows in vivid colors and multiple dimensions how the human brain organizes language. The atlas identifies brain areas that respond to words that have similar meanings.
Talk about changing everything that we thought about the brain and learning.
A new study from the University of Toulouse found that intelligence and learning aren’t limited to organisms with brains. By studying the mold Physarum polycephalum they found it can, over time, learn to navigate even irritating environments.
Supercomputer facing problems?
In the world of High Performance Computing (HPC), supercomputers represent the peak of capability, with performance measured in petaFLOPs (1015 operations per second). They play a key role in climate research, drug research, oil and gas exploration, cryptanalysis, and nuclear weapons development. But after decades of steady improvement, changes are coming as old technologies start to run into fundamental problems.
When you’re talking about supercomputers, a good place to start is the TOP500 list. Published twice a year, it ranks the world’s fastest machines based on their performance on the Linpack benchmark, which solves a dense system of linear equations using double precision (64 bit) arithmetic.
Looking down the list, you soon run into some numbers that boggle the mind. The Tianhe-2 (Milky Way-2), a system deployed at the National Supercomputer Center in Guangzho, China, is the number one system as of November 2015, a position it’s held since 2013. Running Linpack, it clocks in at 33.86 × 1015 floating point operations per second (33.86 PFLOPS).
