Lifeboat Foundation

Buckling, the sudden loss of structural stability, is usually the stuff of engineering nightmares. Mechanical buckling means catastrophic failure for every structural system from rockets to soufflés. It’s what caused the Deepwater Horizon oil spill in 2010, among numerous other disasters.

But, as anyone who has ever played with a toy popper knows, buckling also releases a lot of energy. When the structure of a popper buckles, the energy released by the instability sends the toy flying through the air. Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and Harvard’s Wyss Institute for Biologically Inspired Engineering have harnessed that energy and used buckling to their advantage to build a fast-moving, inflatable soft actuator.

Continue reading “Researchers build a fast-moving jumping soft robot” »

Here’s one we missed from several months ago: Brazilian eVTOL innovator EmbraerX put forth a fun video showing how a multi-mode 3D transport system might work, with an eVTOL air taxi carrying a detachable glassed-over cabin that it delivers straight onto a self-driving car chassis.

The coming new breed of eVTOL air taxis are nearly all, at this stage, designed to work as part of a multi-mode transport scheme. The flying taxis themselves will travel from skyport to skyport, meaning you’ll need other means to get yourself to the takeoff point and something else again at the other end for the last mile. It’s simply not practical to expect eVTOLs to drop you off right at your destination.

Continue reading “Pulse eVTOL concept drops its cabin onto an autonomous car chassis” »

Roam Robotics is making robotic exoskeletons that are lightweight and affordable so that they can become a new category of consumer electronics. Traditional robotic exoskeletons can weigh between 30 to 60 pounds because they rely on high precision mechanical systems. They are big and bulky and cost as much as a luxury car, which significantly limits their usefulness and availability. Roam’s new robotic exoskeletons are so portable and inexpensive that they could quickly become a commonplace part of modern life.

The pandemic COVID-19 has spread to all over the world and greatly threatens safety and health of people. COVID-19 is highly infectious and with high mortality rate. As no effective antiviral treatment is currently available, new drugs are urgently needed. We employed transcriptional analysis to uncover potential antiviral drugs from natural products or FDA approved drugs. We found liquiritin significantly inhibit replication of SARS-CoV-2 in Vero E6 cells with EC₅₀ = 2.39 μM. Mechanistically, we found liquiritin exerts anti-viral function by mimicking type I interferon. Upregulated genes induced by liquiritin are enriched in GO categories including type I interferon signaling pathway, negative regulation of viral genome replication and etc. In toxicity experiment, no death was observed when treated at dose of 300 mg/kg for a week in ICR mice. All the organ indexes but liver and serum biochemical indexes were normal after treatment. Liquiritin is abundant in licorice tablet (~0.2% by mass), a traditional Chinese medicine. Together, we recommend liquiritin as a competitive candidate for treating COVID-19. We also expect liquiritin to have a broad and potent antiviral function to other viral pathogens, like HBV, HIV and etc.

The authors have declared no competing interest.

It’s 2020. Why can’t we binge Netflix as our cars drive us down the highway? Well, we’ve made progress, but not at the pace once promised. While some cars offer automated driving modes, you’re not to take your eyes off the road or hands from the wheel. Volvo wants to remedy that.

The company isn’t promising 100% self-driving cars in the near future. Instead, they’ll make mainstream cars that reliably drive themselves on highways—totally autonomously, no human attention needed. For a brand built on safety, and in light of autopilot accidents in recent years, it’s notable the company thinks that’s possible in the not-too-distant future.

To make it happen, Volvo said this week that it would begin adding lidar to production cars in 2022. They’ll also develop self-driving software to integrate lidar, cameras, radar, and back-up vehicle control systems. Once the software, dubbed Highway Pilot, is deemed safe, it’ll be sent out as an update to customers who opt in.

This raises the question of whether AI — defined as algorithms that mimic human intelligence — can deliver on its potential, and when. The answer is crucial because AI could become the ultimate industry disrupter, threatening tens of millions of jobs in Asia as business processes are automated. In addition, AI is the subject of intense rivalry between the US and China.

Unicorns abound but enthusiasm has dimmed. Will AI fulfil its potential?

Then there is the COVID-19 Open Research Dataset (CORD-19), a multi-institutional initiative that includes The White House Office of Science and Technology Policy, Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health (NIH).

The goal of this initiative is to create new natural language processing and machine learning algorithms to scour scientific and medical literature to help researchers prioritize potential therapies to evaluate for further study. AI is also being used to automate screening at checkpoints by evaluating temperature via thermal cameras, as well as modulations in sweat and skin discoloration. What’s more, AI-powered robots have even been used to monitor and treat patients. In Wuhan, the original epicenter of the pandemic, an entire field hospital was transitioned into a “smart hospital” fully staffed by AI robotics.

Any time of great challenge is a time of great change. The waves of technological innovation that are occurring now will echo throughout eternity. Science, technology, engineering and mathematics are experiencing a call to mobilization that will forever alter the fabric of discovery in the fields of bioengineering, biomimicry and artificial intelligence. The promise of tomorrow will be perpetuated by the pangs of today. It is the symbiosis of all these fields that will power future innovations.

In an effort to create first-of-kind microelectronic devices that connect with biological systems, University of Maryland (UMD) researchers are utilizing CRISPR technology in a novel way to electronically turn “on” and “off” several genes simultaneously. Their technique, published in Nature Communications, has the potential to further bridge the gap between the electronic and biological worlds, paving the way for new wearable and “smart” devices.

“Faced with the COVID-19 pandemic, we now have an even deeper understanding of how ‘smart’ devices could benefit the general population,” said William E. Bentley, professor in UMD’s Fischell Department of Bioengineering and Institute for Bioscience and Biotechnology Research (IBBR), and director of the Robert E. Fischell Institute for Biomedical Devices. “Imagine what the world would be like if we could wear a device and access an app on our smartphone capable of detecting whether the wearer has the active virus, generated immunity, or has not been infected. We don’t have this yet, but it is increasingly clear that a suite of technologies enabling rapid transfer of information between biology and electronics is needed to make this a reality.”

With such a device, this information could be used, for example, to dynamically and autonomously conduct effective contact tracing, Bentley said.

Intel’s fifth-generation Loihi chip uses neuromorphic computing to learn faster on less training data than traditional artificial intelligence techniques — including how to smell like a human does and make accurate conclusions based on a tiny dataset of essentially just one sample.

“That’s really one of the main things we’re trying to understand and map into silicon … the brain’s ability to learn with single examples,” Mike Davies, the director of Intel’s Neuromorphic Computing Lab, told me recently on The AI Show podcast. “So with just showing one clean presentation of an odor, we can store that in this high dimensional representation in the chip, and then it allows it to then recognize a variety of noisy, corrupted, occluded odors like you would be faced with in the real world.”