Lifeboat Foundation

California-based startup Relativity Space is manufacturing rockets using giant Westworld-esque 3D printers, a process they say could drastically shorten the rocket-making process from years to weeks. Tim Ellis, the company’s 30-year-old CEO, explains how the high degree of automation in Relativity’s factory has enabled them to build rockets remotely during the Covid-19 pandemic.

#Coronavirus #Space #HelloWorld.
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Continue reading “The SpaceX Competitor is Printing Its Rockets” »

With complex structures – including a strong, flexible mechanical arm carrying various tools – the splash created by a deep sea mining robot was akin to that of humans. But unlike a free-fall diver, the robot was lowered by a rope and the swing caused by wind and waves added uncertainty to its motion, according to the researchers.

Robots are perfecting their diving skills in preparation for the serious business of tapping into mineral resources in the seabed.

CNN Business asked CEOs at more than a dozen major US companies — including GM, Citi, New Balance, Petco, LinkedIn and Zillow — to tell us about the lessons they’ve learned during the pandemic and what they think the future of work will look like. This is what they had to say.

New tools are required if businesses are to take advantage of quantum computing, argues Horizon’s Joe Fitzsimons.

Circa 2020

IBM knows how to adapt to an ever-changing enterprise tech landscape. The venerable company more almost 20 years ago shed its PC business – selling it to Lenovo – understanding that that systems were quickly becoming commodity devices and the market was going to stumble. A decade later IBM sold its X86-based server business to Lenovo for $2.3 billion and in the intervening years has put a keen focus on hybrid clouds and artificial intelligence, buying Red Hat for $34 billion and continuing to invest its Watson portfolio.

However, that hasn’t meant throwing out product lines simply because they’ve been around for a while. IBM has continued to upgrade its mainframe systems to keep up with modern workloads and the bet has paid off. In the last quarter 2,019 the company saw mainframe revenue – driven by its System z15 mainframe in September 2019 – jump 63 percent, a number followed the next quarter by a 59 percent increase.

Continue reading “Big Blue Shines A Light On The Future Of Tape Storage” »

Mastercard has agreed to acquire blockchain analytics start-up CipherTrace, in the latest sign of how major companies are warming to cryptocurrencies.

The payments giant said Thursday it entered into an agreement to buy CipherTrace for an undisclosed amount. Based in Menlo Park, California, CipherTrace develops tools that help businesses and law enforcement root out illicit digital currency transactions. The company’s competitors include New York-based Chainalysis and London start-up Elliptic.

“Digital assets have the potential to reimagine commerce, from everyday acts like paying and getting paid to transforming economies, making them more inclusive and efficient,” Ajay Bhalla, president of cyber and intelligence at Mastercard, said in a statement. “With the rapid growth of the digital asset ecosystem comes the need to ensure it is trusted and safe.”

A study in which machine-learning models were trained to assess over 1 million companies has shown that artificial intelligence (AI) can accurately determine whether a startup firm will fail or become successful. The outcome is a tool, Venhound, that has the potential to help investors identify the next unicorn.

It is well known that around 90% of startups are unsuccessful: Between 10% and 22% fail within their first year, and this presents a significant risk to venture capitalists and other investors in early-stage companies. In a bid to identify which companies are more likely to succeed, researchers have developed machine-learning models trained on the historical performance of over 1 million companies. Their results, published in KeAi’s The Journal of Finance and Data Science, show that these models can predict the outcome of a company with up to 90% accuracy. This means that potentially 9 out of 10 companies are correctly assessed.

“This research shows how ensembles of non-linear machine-learning models applied to big data have huge potential to map large feature sets to business outcomes, something that is unachievable with traditional linear regression models,” explains co-author Sanjiv Das, Professor of Finance and Data Science at Santa Clara University’s Leavey School of Business in the US.

Pat Gelsinger is opening up America’s historically hermetic semiconductor giant — and shaking up its industry in the process | Business.

NASA just took an important step toward making flying taxis a practical reality. The agency has started flight testing with Joby Aviation’s electric VTOL aircraft to help model and simulate future airspace with these taxis in service. The dry run began quietly, on August 30th, and will last through September 10th. The effort will include noise check using 50 microphones to gauge the “acoustic profile” of the air taxi throughout the course of a given flight.

This is the first eVTOL test as part of an Advanced Air Mobility campaign meant to spot gaps in the Federal Aviation Administration’s rules and ensure the agency is ready for commercial use of flying taxis alongside delivery drones and other unconventional aircraft. The data from the flight program will help with a fuller set of campaign tests in 2022 involving both other taxis and more complicated flight situations.

The overall program could better prepare the US for a glut of low-altitude air traffic if and when flying taxis enter widespread use. The early testing is also a minor coup for Joby. It’s ushering in crucial testing not long after buying Uber’s air taxi business and taking a $394 million investment from Toyota. There’s no telling if Joby will continue to play a prominent role, but this is clearly the kind of collaboration it was hoping for.