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Some electronics can bend, twist and stretch in wearable displays, biomedical applications and soft robots. While these devices’ circuits have become increasingly pliable, the batteries and supercapacitors that power them are still rigid. Now, researchers in ACS’ Nano Letters report a flexible supercapacitor with electrodes made of wrinkled titanium carbide — a type of MXene nanomaterial — that maintained its ability to store and release electronic charges after repetitive stretching.

One major challenge stretchable electronics must overcome is the stiff and inflexible nature of their energy storage components, batteries and supercapacitors. Supercapacitors that use electrodes made from transitional metal carbides, carbonitrides or nitrides, called MXenes, have desirable electrical properties for portable flexible devices, such as rapid charging and discharging. And the way that 2D MXenes can form multi-layered nanosheets provides a large surface area for energy storage when they’re used in electrodes. However, previous researchers have had to incorporate polymers and other nanomaterials to keep these types of electrodes from breaking when bent, which decreases their electrical storage capacity. So, Desheng Kong and colleagues wanted to see if deforming a pristine titanium carbide MXene film into accordion-like ridges would maintain the electrode’s electrical properties while adding flexibility and stretchability to a supercapacitor.

The researchers disintegrated titanium aluminum carbide powder into flakes with hydrofluoric acid and captured the layers of pure titanium carbide nanosheets as a roughly textured film on a filter. Then they placed the film on a piece of pre-stretched acrylic elastomer that was 800% its relaxed size. When the researchers released the polymer, it shrank to its original state, and the adhered nanosheets crumpled into accordion-like wrinkles.

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.

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 drug delivery to environmental science.

A fundamental function of living cells 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.

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.

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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.”

Continue reading “A Chinese EV startup wants to build a ridable robot unicorn for kids” »

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.

Continue reading “When Robot Eyes Gaze Back at Humans, Something Changes in Our Brain And Behavior” »

Singapore said the robots, called “Xavier,” can report bad behavior to law enforcement and display messages to “educate” the public.

How to overcome reinforcement learning’s inherent selfishness.