Franky Zapata abandoned a previous attempt after failing to land on a refuelling platform and falling into the sea.
Franky Zapata stands on his jet-powered “flyboard” prior to land on St. Margaret’s Bay in Dover on Sunday. GLYN KIRK / AFP — Getty Images.
As cool as it is ingenious, this custom-built hovercraft by college student Ken Chung just might be the world’s fastest, courtesy of its jet turbine engine. Continue reading for the video — courtesy of reader James.
The Indian army is keen to procure RQ-11 UAV Raven – unmanned aerial vehicle from the US besides Israeli Spike Firefly “loitering” munition to support its ground soldiers, reports the HindustanTimes.
Rafale jets dodge all radars, air defence systems; bombs Turkish facilities in Libya
The Universe isn’t just a random scattering of galaxies sprinkled throughout an expanding void. The closer we look, the more we see that there are structures — some of which are incomprehensibly vast groupings and clusters of galaxies that are gravitationally bound together.
Such a structure has just been discovered arcing across the southern edge of the sky, and it’s a colossus, spanning an immense 1.37 billion light-years from end to end. Its discoverers have named it the South Pole Wall.
Although the size is remarkable — it’s one of the largest structures in space we’ve ever seen — we know exactly what the South Pole Wall is. It’s a galaxy filament, a huge formation of galaxies that forms a border between the empty spaces of cosmic voids that together form the cosmic web. Hence, we call it a wall.
Robotic landers and rovers have been touching down on Mars since the 1970s, but when will humanity finally set foot on the Red Planet?
Experts believe the technical challenges are nearly resolved, but political considerations make the future of any crewed mission uncertain.
NASA’s human lunar exploration program, Artemis, envisions sending people back to the Moon by 2024 and using the experience gained there to prepare for Mars.
Gene drive guarantees that a trait will be passed to the next generation. But should society use this tool to control insect populations?
Recently, Tesla filed a patent called ‘Systems and methods for adapting a neural network on a hardware platform.’ In the patent, they described the systems and methods to select a neural network model configuration that satisfies all constraints.
According to the patent, the constraints mainly include an embodiment that computes a list of valid configurations and a constraint satisfaction solver to classify valid configurations for the particular platform, where the neural network model will run efficiently.
The Reason Behind the Patent.
The 400 kilogram wheeled system moves about the lab guided by LIDAR laser scanners and has an industrial robotic arm made by German firm Kuka that it uses to carry out tasks like weighing out solids, dispensing liquids, removing air from the vessel, and interacting with other pieces of equipment.
In a paper in Nature, the team describes how they put the device to work trying to find catalysts that speed up reactions that use light to split water into hydrogen and oxygen. To do this, the robot used a search algorithm to decide how to combine a variety of different chemicals and updated its plans based on the results of previous experiments.
The robot carried out 688 experiments over 8 days, working for 172 out of 192 hours, and at the end it had found a catalyst that produced hydrogen 6 times faster than the one it started out with.
“We believe we are uncovering the tip of the iceberg in terms of distant SGRBs,” said Kerry Paterson, the study’s first author. “That motivates us to further study past events and intensely examine future ones.”
New research, based on earlier results in mice, suggests that our brains are never at rest, even when we are not learning anything about the world around us.
Our brains are often likened to computers, with learned skills and memories stored in the activity patterns of billions of nerve cells. However, new research shows that memories of specific events and experiences may never settle down. Instead, the activity patterns that store information can continually change, even when we are not learning anything new.
Why does this not cause the brain to forget what it has learned? The study, from the University of Cambridge, Harvard Medical School and Stanford University, reveals how the brain can reliably access stored information despite drastic changes in the brain signals that represent it.
