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Prosthetic hands restore only some of the function lost through amputation. But combining electrical signals from forearm muscles with other sources of information, such as eye tracking, promises better prostheses. A study funded by the SNSF gives specialists access to valuable new data.

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The hand is a precious limb. Its 34 muscles and 20 joints enable movements of great precision and complexity which are essential for interacting with the environment and with others on a daily basis. Hand amputation thus has severe physical and psychological repercussions on a person’s life. Myoelectric prosthetic hands, which work by recording electrical muscle signals on the skin, allow amputees to regain some lost function. But dexterity is often limited and the variability of the electrical signals from the forearm alone makes the prosthetics sometimes unreliable. Henning Müller, professor of business informatics, is investigating how combining data from myoelectric signals with other sources of information could lead to better prosthetics. Müller has now made available to the scientific community a dataset that includes eye tracking and computer vision as well as other information (electromyography and acceleration sensor data).

The rapidly falling cost of getting into orbit has spurred a boom in the space industry as a host of new applications become economical. Now a secretive startup plans to slash the cost to just $250,000 by flinging rockets into space rather than firing them.

Over the last decade, the pioneering work done by SpaceX has shown that getting stuff into orbit doesn’t need to be so expensive and that there are viable business opportunities to be had in the private space industry. Combined with advances in satellite technology, there’s now a thriving market for small, inexpensive spacecraft in low- E arth orbit doing everything from remote sensing to delivering broadband internet access.

But while costs have fallen dramatically, the cheapest option for reaching low-Earth orbit —a rideshare on SpaceX’s Falcon 9—still starts at $1 million, and launches only happen twice a month at best. California-based startup SpinLaunch says its technology will allow up to five launches a day for as little as $250,000.

WASHINGTON — Spaceflight Industries announced Feb. 11 it will sell its smallsat rideshare launch business to a pair of Japanese companies, allowing it to focus on its BlackSky geospatial business.

Spaceflight Industries said that Mitsui & Co., Ltd. and Yamasa Co., Ltd. will acquire its rideshare business, known as Spaceflight, Inc., for an undisclosed sum. Mitsui & Co. and Yamasa will own Spaceflight as a 50/50 joint venture. The companies said that they expect the deal to close in the second quarter of this year, after a review by the Committee on Foreign Investment in the United States (CFIUS) to examine any national security implications of the sale.

Spaceflight Industries said it will use the proceeds from the deal to accelerate the growth of BlackSky, its geospatial intelligence business that is developing a constellation of high-resolution imaging satellites. BlackSky has four satellites in orbit currently with another eight scheduled for launch this year.

Retail mogul Yusaku Maezawa has launched another competition, offering to invest a total of 10 billion Japanese yen ($91 million) in the businesses of 10 entrepreneurs.

The Japanese billionaire announced on Twitter on Friday that he would look to expand the businesses he picked, with the aim of them listing on a stock exchange, according to a translation.

He shared a link to a website outlining the terms of the competition, which explained that entrepreneurs had to email their business proposals to enter, including details as to how they would spend the funds among other information.

To address the challenge, some startups are making chips focused on specific software tasks. Others are pushing further, finding processing and storage solutions in new materials, including synthetic DNA.


Quantum computing is the best-known of these new methods. Startups as well as tech giants including Alphabet Inc.’s Google and International Business Machines Corp. are developing quantum computers, which harness the properties of quantum physics to sort through a vast number of possibilities in nearly real time. The advent of quantum computing has paved the way for other experimental techniques, startup executives say.

The market for new computing technology comes as advancements in traditional chip making are hitting a physical limit under Moore’s Law, the idea that every two years or so, the number of transistors in a chip doubles.

At the same time, advances in artificial intelligence, easier access to huge troves of data and the continuing digitization of business processes are putting new demands on corporate and scientific computing.

On Friday we wrote about Samsung’s mysterious “artificial human” project Neon, speculating that the company was building realistic human avatars that could be used for entertainment and business purposes, acting as guides, receptionists, and more.

Now, a tweet from the project’s lead and some leaked videos pretty much confirm this — although they don’t give us nearly enough information to judge how impressive Neon is.

The lead of Neon, computer-human interaction researcher Pranav Mistry, tweeted the image below, apparently showing one of the project’s avatars. Mistry says the company’s “Core R3” technology can now “autonomously create new expressions, new movements, new dialog (even in Hindi), completely different from the original captured data.”

It’s a model the company believes makes sense because the right answer for getting regulatory approval and delivering service in the United States or the Philippines or Indonesia will vary, Steckel said. “We’re going to be doing business with partners around the world,” Steckel said. “Our style is not confrontational. We’re using a different model. It’s a big world.”

OneWeb plans to offer its first customer demonstrations by the end of 2020 and provide full commercial global services in 2021.

There’s yet another new rocket launch startup throwing its hat in the ring — Astra, an Alameda-based company that’s actually been operating in stealth mode (though relatively openly, often referred to as “Stealth Space Company”) for the past three years developing and testing its launch vehicle. Astra revealed its business model and progress to date in a new feature article with Bloomberg Businessweek, detailing how it plans to use mass production to deliver rockets quickly and cheaply for small satellite orbital delivery. Astra revealed it has raised more than $100 million from investors, including Eric Schmidt’s Innovation Endeavors, Airbus Ventures, Canann Partners and Salesforce co-founder Marc Benioff, to name a few, and it has big ambitions in terms of cost and capabilities.

Astra’s rockets are smaller than most existing launch vehicles in operation, designed to delivery up to 450 lbs of cargo to space, but with the specific mandate of doing so quickly and responsively. The company is a finalist (and the only remaining one) on DARPA’s Launch Challenge, the terms of which mandate that the winning company deploy two rockets from two different locations within a few weeks of each other. Astra is still in the running, while its erstwhile competitors have dropped out, with Virgin Orbit having voluntarily withdrawn and Vector Launch having gone out of business.

The DARPA challenge, which includes an award of $12 million for the winner, represents a growing trend in terms of defense customer needs: Fast turnaround and responsive operations for small satellite delivery. In an industry where the process of securing a launch service provider to actually flying a payload has typically taken at least six months in the best-case scenario, there’s a growing need for quicker timelines in the interest of building more redundancy and resilience into defense and reconnaissance space operations through use of networks of small satellites, versus single large geostationary satellites that are expensive to launch and more time-consuming to task.