Lifeboat Foundation

SpaceX’s Starship will be a multipurpose launch vehicle, capable of returning astronauts to the Moon to build a permanent base and enabling humanity to build a sustainable colony on Mars. It is expected to become the world’s most powerful rocket-ship. “Starship was designed from the onset to be able to carry more than 100 tons of cargo to Mars and the Moon. The cargo version can also be used for rapid point-to-point Earth transport. Various payload bay configurations are available and allow for fully autonomous deployment of cargo to Earth, Lunar, or Martian surfaces,” the company said.

SpaceX’s Starship launch vehicle has many potential uses and capabilities that will enable access to space like never before. The cargo version of Starship will be able to launch entire satellite constellations in a single launch inside its payload bay. For perspective, SpaceX’s Falcon 9 can carry up to 60 Starlink in a tight configuration inside its 5.2-meter diameter fairing, Starship will be able to carry 400 Starlink to deploy in a single launch inside its fairing. Starship will be capable of deploying giant spacecraft to space inside its clamshell-like fairing, which has an outer diameter of 9-meters –“the largest usable payload volume of any current or in development launcher,” the company says. SpaceX also plans to design an extended Starship volume capability for payloads requiring up to 22-meters of height.

Starship will also be able to capture already in orbit to be repaired or brought back to be disposed of on Earth, according to SpaceX’s Starship User Guide. “Fully-reusable Starship and Super Heavy systems are expected to allow for space-based activities that have not been possible since the retirement of the Space Shuttle and Space Transportation System, or have never been possible before. With a fully reusable Starship, can be captured and repaired in Orbit, returned to Earth, or transferred to a new operational orbit,” SpaceX’s vehicle guide says. This will be possible with Starship’s large clamshell-like cargo door mechanism that opens and closes, as shown in the image below. The clamshell door can be modified to “chomp up” old and space junk orbiting Earth. “We can fly Starship around space and chomp up debris with the moving fairing door,” SpaceX founder Elon Musk said in July 2021.

Tesla’s Director of Artificial Intelligence, Andrej Karpathy, says that he believes ‘Tesla Bot’ is “on track to become the most powerful AI development platform.”

Since Tesla AI Day last year, CEO Elon Musk has been slowly pushing the idea that Tesla is becoming more of an AI/robotics company.

Musk has been boasting about the company’s AI talent, led by Director of Artificial Intelligence, Andrej Karpathy, and believes that the company is in the best position to make advancements in AI due to the real-world applications in its vehicles.

Researchers have developed a new technique, called MonoCon, that improves the ability of artificial intelligence (AI) programs to identify three-dimensional (3D) objects, and how those objects relate to each other in space, using two-dimensional (2D) images. For example, the work would help the AI used in autonomous vehicles navigate in relation to other vehicles using the 2D images it receives from an onboard camera.

“We live in a 3D world, but when you take a picture, it records that world in a 2D image,” says Tianfu Wu, corresponding author of a paper on the work and an assistant professor of electrical and computer engineering at North Carolina State University.

“AI programs receive visual input from cameras. So if we want AI to interact with the world, we need to ensure that it is able to interpret what 2D images can tell it about 3D space. In this research, we are focused on one part of that challenge: how we can get AI to accurately recognize 3D objects—such as people or cars—in 2D images, and place those objects in space.”

You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perform machine-learning computations, such as identifying handwritten numbers and spoken vowel sounds.

The experiment is no mere stunt or parlor trick. By turning these physical systems into the same kind of neural networks that drive services like Google Translate and online searches, the researchers have demonstrated an early but viable alternative to conventional electronic processors—one with the potential to be orders of magnitude faster and more energy efficient than the power-gobbling chips in data centers and server farms that support many artificial-intelligence applications.

“Many different physical systems have enough complexity in them that they can perform a large range of computations,” said Peter McMahon, assistant professor of applied and engineering physics in the College of Engineering, who led the project. “The systems we performed our demonstrations with look nothing like each other, and they seem to [be] having nothing to do with handwritten-digit recognition or vowel classification, and yet you can train them to do it.”

A few weeks ahead the Beijing 2022 Winter Olympics, Chinese engineers have presented a six-legged skiing robot that expertly slaloms down a snowy white slope in Shenyang, China. The team of engineers said that the robot stands on a pair of skis with four of its legs and grips poles using its two other limbs.

Researchers have put it to tests in both beginner and intermediate slopes and have proven to stay upright and avoid obstacles. The robot was developed by engineers from the Shanghai Jiao Tong University.

A robot has performed laparoscopic surgery on the soft tissue of a pig without the guiding hand of a human—a significant step in robotics toward fully automated surgery on humans. Designed by a team of Johns Hopkins University researchers, the Smart Tissue Autonomous Robot (STAR) is described today in Science Robotics.

“Our findings show that we can automate one of the most intricate and delicate tasks in surgery: the reconnection of two ends of an intestine. The STAR performed the procedure in four animals and it produced significantly better results than humans performing the same procedure,” said senior author Axel Krieger, an assistant professor of mechanical engineering at Johns Hopkins’ Whiting School of Engineering.

The robot excelled at intestinal anastomosis, a procedure that requires a high level of repetitive motion and precision. Connecting two ends of an intestine is arguably the most challenging step in gastrointestinal surgery, requiring a surgeon to suture with high accuracy and consistency. Even the slightest hand tremor or misplaced stitch can result in a leak that could have catastrophic complications for the patient.

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The United States military has a long record of being at the forefront of humankind’s technological achievements. For example, it was the U.S. Navy in the 1940s, led by Admiral Rickover, who pioneered the use of nuclear power as a propulsion device, and that eventually led to nuclear power plants for civilian use. Today, the military again leads the charge into the future with their innovations in robotics and their many applications across the entire infrastructure of the organization. We will talk about MAARS, Robobee, DOGO, SAFFiR and Gladiator!

Continue reading “5 NEWEST Advanced ARMY ROBOTS 2022 | Boston Dynamics” »

It looks whimsical, but it could be a blueprint for fixing our woeful infrastructure in the U.S.

After four long years of planning, the world’s first 3D-printed steel bridge debuted in Amsterdam last month. If it stands up to the elements, the bridge could be a blueprint for fixing our own structurally deficient infrastructure in the U.S.—and we sorely need the help.

Continue reading “Feast Your Eyes Upon the World’s First 3D-Printed Steel Bridge” »