This mouth-full of a boat uses simple physics to create a cushion of air that allows it to effortlessly fly along the tops of ocean waves with near inexhaustible solar energy. The researchers say that this sleek, solar vessel could act as a mobile charging station for drones in the deep ocean or could conduct oceanic search and rescue missions.
Researchers in Russia have designed a solar-powered, and AI piloted, boat that can walk on water and serve as a mid-ocean fuel-up station for drones.
NASA is planning to bring Martian samples back to Earth — and they’re looking for someone to lead the mission.
The Mars Sample Return (MSR) program, set to take place over the next decade, aims to collect samples of Martian rock, soil, and atmosphere for analysis and testing on Earth.
NASA has previously sent several rovers to Mars, but no program or robot has ever been able to bring back samples, which could give researchers new insights into the Red Planet.
In July 2015, the New Horizons spacecraft made history when it became the first robotic explorer to conduct a flyby of Pluto. This was followed by another first, when the NASA mission conducted the first flyby of a Kuiper Belt Object (KBO) on 31 December 2018 – which has since been named Arrokoth.
Now, on the edge of the Solar System, New Horizons is still yielding some groundbreaking views of the cosmos.
For example, we here on Earth are used to thinking that the positions of the stars are “fixed”. In a sense, they are, since their positions and motions are relatively uniform when seen from our perspective.
A survey of millions of people in more than 200 countries shows ethical decisions are never simple.
A US military jet has crashed into the North Sea off the coast of Yorkshire.
A major operation is underway after the F-15 fighter jet came down near Flamborough Head in East Yorkshire, south of Scarborough. The pilot is yet to be found.
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In July of 2015, the New Horizons spacecraft made history when it became the first robotic explorer to conduct a flyby of Pluto. This was followed by another first, when the NASA mission conducted the first flyby of a Kuiper Belt Object (KBO) on December 31st, 2018 – which has since been named Arrokoth. Now, on the edge of the Solar System, New Horizons is still yielding some groundbreaking views of the cosmos.
For example, we here on Earth are used to thinking that the positions of the stars are “fixed”. In a sense, they are, since their positions and motions are relatively uniform when seen from our perspective. But a recent experiment conducted by the New Horizons team shows how familiar stars like Proxima Centauri and Wolf 359 (two of the closest stars in our neighbors) look different when viewed from the edge of the Solar System.
Located in the constellation Leo, Wolf 359 is an M-type (red dwarf) star that is roughly 7.9 light-years from Earth. It can be found close to the same path the Sun follows through the sky (the ecliptic), but can only be seen with a telescope. And if you’re a Trekkie, you might recognize the name since it was where that major battle with the Borg took place (don’t act like you don’t know!)
Posted in mapping, robotics/AI
IRobot introduces® Robot Mower. With wireless boundaries and Imprint smart mapping,® knows your lawn like only you do.
This post is about some fairly recent improvements in the field of AI-based voice cloning. If we have hours and hours of footage of a particular voice at our disposal then that voice can be cloned using existing methods. But this recent breakthrough enables us to do the same using…
Rational design of compounds with specific properties requires understanding and fast evaluation of molecular properties throughout chemical compound space — the huge set of all potentially stable molecules. Recent advances in combining quantum-mechanical calculations with machine learning provide powerful tools for exploring wide swathes of chemical compound space. We present our perspective on this exciting and quickly developing field by discussing key advances in the development and applications of quantum-mechanics-based machine-learning methods to diverse compounds and properties, and outlining the challenges ahead. We argue that significant progress in the exploration and understanding of chemical compound space can be made through a systematic combination of rigorous physical theories, comprehensive synthetic data sets of microscopic and macroscopic properties, and modern machine-learning methods that account for physical and chemical knowledge.
