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Category: robotics/AI – Page 1,559

Robotic exoskeletons have captivated us for years. They are major tropes in sci-fi movies and video games, and in real-life engineers have been working on them since the 1900s. San Francisco’s Roam Robotics has entered into this space, and Brent Rose tries his hand at stress testing their latest military leg brace.

Archival footage of GE robotic exoskeleton courtesy of miSci: Museum of Innovation & Science.

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Continue reading “Stress Testing Real-Life Robot Legs” | >

Researchers have developed artificial cell-like structures using inorganic matter that autonomously ingest, process, and push out material—recreating an essential function of living cells.

Their article, published in Nature, provides a blueprint for creating “cell mimics,” with potential applications ranging from to environmental science.

A fundamental function of living is their ability to harvest energy from the environment to pump molecules in and out of their systems. When energy is used to move these molecules from areas of lower concentration to areas of higher concentration, the process is called active transport. Active transport allows cells to take in necessary molecules like glucose or amino acids, store energy, and extract waste.

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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 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 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 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.

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War has been a part of the human experience since the beginning of civilization. But new technologies are changing the face of warfare in ways that we never really expected. From cyberwarfare to autonomous AI-piloted drones to space warfare, the future of war is weird. And terrifying.

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Continue reading “The Future of War | Answers With Joe” | >

And just like a unicorn, it doesn’t currently exist.

Never mind buying a robot dog for your kids — you might just get them a mythical creature instead. Chinese EV maker Xpeng has teased a robot unicorn meant for children to ride. As SCMP notes, the quadruped will take advantage of Xpeng’s experiences with autonomous driving and other AI tasks to navigate multiple terrain types, recognize objects and provide “emotional interaction.”

The company is shy on most other details, although the design looks and trots like a cuter, more kid-friendly version of Boston Robotics’ Spot. It’s appropriately about as tall as a child. Sorry, folks, you won’t prance your way to work.

This robot unicorn is just about as mythical as the ‘real’ thing, too. Xpeng hasn’t revealed when it expects to deliver its robotic horse-with-a-horn, let alone pricing or availability. It might not cost as much as a $75,000 Spot, but we’d expect something this sophisticated to cost more than the $2,900 Aibo from 2019.

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new study shows.

When you know you’re being watched by somebody, it’s hard to pretend they’re not there. It can be difficult to block them out and keep focus, feeling their gaze bearing down upon you.

Strangely enough, it doesn’t even seem to really matter whether they’re alive or not.

In new research, scientists set up an experiment where people played a game against a robot.

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It’s not just salespeople, traders, compliance professionals and people formatting pitchbooks who risk losing their banking jobs to technology. It turns out that private equity professionals do too. A new study by a professor at one of France’s top finance universities explains how.

Professor Thomas Åstebro at Paris-based HEC says private equity firms are using artificial intelligence (AI) to push the limits of human cognition and to support decision-making. Åstebro says t he sorts of people employed by private equity funds is changing as a result.

Åstebro looked at the use of AI systems across various private equity and venture capital firms. He found that funds that have embraced AI are using decision support systems (DSS) across the investment decision-making process, including to source potential targets for investments before rivals.

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