Electrification of vehicles is a potential way of reducing fossil fuel usage and thus lessening environmental pollution. Electric Vehicles (EVs) of various types for different transport modes (including air, water, and land) are evolving. Moreover, different EV user groups (commuters, commercial or domestic users, drivers) may use different charging infrastructures (public, private, home, and workplace) at various times. Therefore, usage patterns and energy demand are very stochastic. Characterizing and forecasting the charging demand of these diverse EV usage profiles is essential in preventing power outages. Previously developed data-driven load models are limited to specific use cases and locations. None of these models are simultaneously adaptive enough to transfer knowledge of day-ahead forecasting among EV charging sites of diverse locations, trained with limited data, and cost-effective. This article presents a location-based load forecasting of EV charging sites using a deep Multi-Quantile Temporal Convolutional Network (MQ-TCN) to overcome the limitations of earlier models. We conducted our experiments on data from four charging sites, namely Caltech, JPL, Office-1, and NREL, which have diverse EV user types like students, full-time and part-time employees, random visitors, etc. With a Prediction Interval Coverage Probability (PICP) score of 93.62\%, our proposed deep MQ-TCN model exhibited a remarkable 28.93\% improvement over the XGBoost model for a day-ahead load forecasting at the JPL charging site. By transferring knowledge with the inductive Transfer Learning (TL) approach, the MQ-TCN model achieved a 96.88\% PICP score for the load forecasting task at the NREL site using only two weeks of data.

NASA is nearly ready to attempt the first flight on another planet. The space agency's small helicopter, called Ingenuity, has been deposited in a flat area on Mars, and it is running through a series of final tests before it tries to lift into the thin Martian air. Ingenuity's first flight was originally slated for April 11, but the mission hit a snag during a pre-flight test. While trying to spin the helicopter's rotors at full speed without leaving the ground, Ingenuity's onboard computer ended the test early. NASA says the helicopter is safe and communicating with Earth.

Acting NASA Administrator Steve Jurczyk provides insight on'FOX News Live.' NASA's Jet Propulsion Laboratory (JPL) released a stunning "selfie" taken by the Curiosity Mars rover on Tuesday. In a tweet, the Curiosity team explained the image was captured near the impressive rock formation named "Mont Mercou" after a mountain in France's southern region. NASA PREVIEWS FIRST MARS HELICOPTER FLIGHTS: EVERY STEP TAKEN IS'UNCHARTED TERRITORY' This selfie was taken in front of'Mont Mercou,' a rock formation that's 20ft (6m) tall," JPL posted, "It's made up of 60 images from my MAHLI camera and 11 images from my Mastcam. Look close enough to spot a new drill hole – my 30th sample to date." The selfie, taken earlier in the month, was posted alongside an additional pair of three-dimensional and panoramic shots of the Martian landscape.

A potential Mars Sample Return (MSR) architecture is being jointly studied by NASA and ESA. As currently envisioned, the MSR campaign consists of a series of 3 missions: sample cache, fetch and return to Earth. In this paper, we focus on the fetch part of the MSR, and more specifically the problem of autonomously detecting and localizing sample tubes deposited on the Martian surface. Towards this end, we study two machine-vision based approaches: First, a geometry-driven approach based on template matching that uses hard-coded filters and a 3D shape model of the tube; and second, a data-driven approach based on convolutional neural networks (CNNs) and learned features. Furthermore, we present a large benchmark dataset of sample-tube images, collected in representative outdoor environments and annotated with ground truth segmentation masks and locations. The dataset was acquired systematically across different terrain, illumination conditions and dust-coverage; and benchmarking was performed to study the feasibility of each approach, their relative strengths and weaknesses, and robustness in the presence of adverse environmental conditions.

NASA's Perseverance rover has sent back astonishing video footage of its 18 February landing on Mars. These videos give us the most intimate look ever at the process of setting a spacecraft down on the Martian surface. During the landing, five cameras took videos: two on the back of the capsule holding the rover, one on the sky crane that acted as a jet pack to lower the rover its final 2000 metres or so to the surface and two on the rover itself. The videos show the parachute opening to slow down the spacecraft, and then the heat shield dropping to the surface of Mars once Perseverance is moving slow enough not to need it anymore. "You can get a sense really of how violent that parachute deploy and inflation are," said Al Chen, a Perseverance engineer at NASA's Jet Propulsion Laboratory (JPL) in California, during a press conference.

After a thankfully uneventful seven-month journey, NASA's Mars 2020 mission is set to safely reach the Red Planet and insert itself into orbit on Thursday ahead of deploying the Perseverance rover and Ingenuity helicopter prototype that it's been toting down to the planet's surface in search for evidence of ancient microbial life. However, this expedition has been in the works for far longer than Perseverance has been travelling through interplanetary space. First announced in 2012, the mission marks the culmination of nearly a decade's work by hundreds of machinists, designers, rocket scientists and engineers at NASA's Jet Propulsion Lab. But not just anyone can get hired there, working for the world's premiere spacecraft production facility and building equipment that will grace the surfaces of neighboring planets. For Mohamed Abid, a Deputy Chief Mechanical Engineer on the Mars 2020 mission, the path to working at the JPL began in Tunisia, where he grew up.

The Mars Reconnaissance Orbiter's HiRISE camera captured this impact crater on Mars. On July 15, 1965, the Mariner 4 spacecraft snapped a series of photographs of Mars during its flyby of the Red Planet. These were the first "close-up" images taken of another planet from outer space, according to NASA. One of these first grainy photographs depicted a massive crater nearly 100 miles in diameter. Now, NASA's Jet Propulsion Laboratory (JPL) is tapping artificial intelligence (AI) to help with its cosmic cartography efforts, using these technologies to identify "fresh craters" on Mars.

NASA's newest Mars rover is called Perseverance, and it has already lived up to the name. Weighing in at just over a ton and loaded with the most sophisticated instruments ever sent to the red planet, the six-wheeled vehicle has already survived a hurdle no previous rover has had to face: a global pandemic. After overcoming months of uncertainty, Perseverance is at the Kennedy Space Center in Florida, awaiting the start of the 309-million-mile journey that will take it to an ancient lake bed that may contain evidence of extraterrestrial life. Despite the unprecedented challenges, the $2.4-billion space robot is expected to blast off from Cape Canaveral Air Force Station as early as Thursday -- right on schedule. The rover traveled across the country from its birthplace at the Jet Propulsion Laboratory in La Cañada Flintridge in February.

A team at NASA's Jet Propulsion Laboratory (JPL) is testing a 3D-printed Transformer-like new robot, Shapeshifter, which is capable of morphing into multiple configurations. And it is stated that a similar design could one day be leveraged to explore Saturn's moon Titan. Saturn's moon Titan is one of the most potential targets on any planetary scientist's list for exploration. But any mission to Titan will have to deal with an environment unlike any other – frigid temperatures, cryovolcanoes, caves, and lakes, seas, and rain of liquid hydrocarbons. However, the latest concept could encompass 12 mini robots – cobots (Collaborative Robots) – that can fly or swim, exploring caves and oceans and will go where other robots haven't been able to explore.

A team at NASA's Jet Propulsion Laboratory (JPL) is testing a 3D-printed Transformer-like new robot, Shapeshifter, which is capable of morphing into multiple configurations. And it is stated that a similar design could one day be leveraged to explore Saturn's moon Titan. Saturn's moon Titan is one of the most potential targets on any planetary scientist's list for exploration. But any mission to Titan will have to deal with an environment unlike any other – frigid temperatures, cryovolcanoes, caves, and lakes, seas, and rain of liquid hydrocarbons. However, the latest concept could encompass 12 mini robots – cobots (Collaborative Robots) – that can fly or swim, exploring caves and oceans and will go where other robots haven't been able to explore.