Lifeboat Foundation

When Genevieve posted about optical tweezers, I noticed the similarity with acoustic tweezers, so I needed to post this article as well, so as to add to hers.

A new algorithm recently helped scientists levitate multiple objects using sound waves in very strategic positions. It marked the first time that sound helped capture numerous objects in various positions. The findings were recently published in the journal Proceedings of the National Academy of Science. It was funded by the Engineering and Physical Sciences Research Council (EPSRC) in the United Kingdom.

Continue reading “Researchers Use Sound to Make a Range of Objects Float for the First Time” »

DNA computers have to date only been able to run one algorithm, but a new design shows how these machines can be made more flexible—and useful.

Computer scientists at the University of California, Davis, and the California Institute of Technology have created DNA molecules that can self-assemble into patterns essentially by running their own program. The work is published March 21 in the journal Nature.

“The ultimate goal is to use computation to grow structures and enable more sophisticated molecular engineering,” said David Doty, assistant professor of computer science at UC Davis and co-first author on the paper.

The system is analogous to a computer, but instead of using transistors and diodes, it uses molecules to represent a six-bit binary number (for example, 011001). The team developed a variety of algorithms that can be computed by the molecules.

Continue reading “Computer Scientists Create Programmable Self-Assembling DNA” »

A team of researchers at the Rochester Institute of Technology invented a “toilet seat-based cardiovascular monitoring system” that could help hospitals monitor patients for risk of congestive heart failure — a toilet, in other words, that detects whether your heart is about to give out.

“This system will be uniquely positioned to capture trend data in the home that has been previously unattainable,” reads the paper, published in the journal JMIR Mhealth Uhealth.

Integrated into the seat is a device that measures heart rate, blood pressure, and blood oxygenation levels. Algorithms will take in all that data and notify health practitioners if the patient’s condition deteriorates.

Imagine a future where electronic text messaging is tracked by an intelligent algorithm that can identify truth from lies. A new study from two US researchers suggests this kind of online polygraph is entirely possible, with early experiments showing a machine learning algorithm can separate truth from lies based just on text cues over 85 percent of the time.

It was 100 times faster on a routine task.

In a recent study, LawGeex, a legal tech startup, challenged a group of 20 experienced lawyers to test their skills and knowledge against its AI-powered algorithm.

A legal battle

Continue reading “This AI outperformed 20 corporate lawyers at legal work” »

The latest Facebook hack should have shown everyone nothing is safe. Researchers have now shown how easy it is to steal data from people doing research.

Engineers at the University of California say they have demonstrated how easy it would be to snoop on biotech companies making synthetic DNAll you need is an audio recording, they say. Place a smartphone near a DNA synthesizer, record the sound, run the recording across algorithms trained to discern the clicks and buzzes that particular machine makes, and you’ll know exactly what combination of DNA building blocks it is generating.

Researchers devise method for snooping on DNA synthesis using acoustic recordings. But is it a real threat?

Continue reading “How to Steal DNA With Sound” »

Artificial intelligence can automatically sort out data, but it struggles for some particularly complex datasets – a quantum algorithm could do better.

For a newborn giraffe or wildebeest, being born can be a perilous introduction to the world—predators lie in wait for an opportunity to make a meal of the herd’s weakest member. This is why many species have evolved ways for their juveniles to find their footing within minutes of birth.

It’s an astonishing evolutionary feat that has long inspired biologists and roboticists—and now a team of USC researchers at the USC Viterbi School of Engineering believe they have become the first to create an AI-controlled robotic limb driven by animal-like tendons that can even be tripped up and then recover within the time of the next footfall, a task for which the robot was never explicitly programmed to do.

Francisco J. Valero-Cuevas, a professor of Biomedical Engineering a professor of Biokinesiology & Physical Therapy at USC in a project with USC Viterbi School of Engineering doctoral student Ali Marjaninejad and two other doctoral students—Dario Urbina-Melendez and Brian Cohn, have developed a bio-inspired algorithm that can learn a new walking task by itself after only 5 minutes of unstructured play, and then adapt to other tasks without any additional programming.

Continue reading “A robotic leg, born without prior knowledge, learns to walk” »