Lifeboat Foundation

Buckyballs! We love them.

JILA researchers have measured hundreds of individual quantum energy levels in the buckyball, a spherical cage of 60 carbon atoms. It’s the largest molecule that has ever been analyzed at this level of experimental detail in the history of quantum mechanics. Fully understanding and controlling this molecule’s quantum details could lead to new scientific fields and applications, such as an entire quantum computer contained in a single buckyball.

The imperative of developing artificial intelligence (AI) could not be more clear when it comes to exploring space beyond the Solar System. Even today, when working with unmanned probes like New Horizons and the Voyagers that preceded it, we are dealing with long communication times, making probes that can adapt to situations without assistance from controllers a necessity. Increasing autonomy promises challenges of its own, but given the length of the journeys involved, earlier interstellar efforts will almost certainly be unmanned and rely on AI.

The field has been rife with speculation by science fiction writers as well as scientists thinking about future missions. When the British Interplanetary Society set about putting together the first serious design for an interstellar vehicle — Project Daedalus in the 1970s — self-repair and autonomous operation were a given. The mission would operate far from home, performing a flyby of Barnard’s Star and the presumed planets there with no intervention from Earth.

We’re at an interesting place here because each step we take in the direction of artificial intelligence leads toward the development of what Andreas Hein and Stephen Baxter call ‘artificial general intelligence’ (AGI), which they describe in an absorbing new paper called “Artificial Intelligence for Interstellar Travel,” now submitted to the Journal of the British Interplanetary Society. The authors define AGI as “[a]n artificial intelligence that is able to perform a broad range of cognitive tasks at similar levels or better than humans.”

Continue reading “Artificial Intelligence and the Starship” »

For a long time, biohackers have been playing with magnets by embedding then under their skin as a novelty extra-sensation. I, personally, don’t see the point, but morphological, taxonomic, and cladic freedom are at work so I celebrate their actions.

Our skin’s ability to perceive pressure, heat, cold, and vibration is a critical safety function that most people take for granted. But burn victims, those with prosthetic limbs, and others who have lost skin sensitivity for one reason or another, can’t take it for granted, and often injure themselves unintentionally.

Chemists Islam Mosa from UConn, and James Rusling from UConn and UConn Health, along with University of Toronto engineer Abdelsalam Ahmed, wanted to create a sensor that can mimic the sensing properties of skin. Such a sensor would need to be able to detect pressure, temperature, and vibration. But perhaps it could do other things too, the researchers thought.

“It would be very cool if it had abilities human skin does not; for example, the ability to detect magnetic fields, sound waves, and abnormal behaviors,” said Mosa.

Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.

The gut microbiome is made up of billions of bacteria, and scientists have been trying to understand exactly how they affect our health, contribute to our risk of contacting diseases and how they interact with the vital organs and systems in the body, including the brain. It is quite a lot to unpick.

As countries industrialise, their air becomes dirtier – and this could have some far-reaching effects on the beneficial bacteria inside us.

This is not hyperbole. AMR already leads to at least 700,000 deaths every year. But the impact goes further — resistant genes in people and animals cross ecological, species and geographical borders. Progress against diseases including HIV, malaria and tuberculosis is threatened globally. In 2016, the World Health Organization reported that nearly half a million people developed drug-resistant tuberculosis. Even cancer patients are more at risk as most treatments suppress the immune system and would, along with several routine surgical operations, become too risky without effective antibiotics.

The world urgently needs a new financing model for antibiotics.

Magnetically actuated soft robots may improve the treatment of disseminated intravascular coagulation. Significant progress has been made in the development of soft robotic systems that steer catheters. A more challenging task, however, is the development of systems that steer sub-millimeter-diameter guidewires during intravascular treatments; a novel microrobotic approach is required for steering. In this article, we develop a novel, magnetically actuated, soft microrobotic system, increasing the steerability of a conventional guidewire.

Soft RoboticsAhead of PrintFree AccessSungwoong Jeon, Ali Kafash Hoshiar, Kangho Kim, Seungmin Lee, Eunhee Kim, Sunkey Lee, Jin-young Kim, Bradley J. Nelson, Hyo-Jeong Cha, Byung-Ju Yi, and…

Robots performing automated tasks in uncontrolled environments need to adapt to environmental changes. Through building large collectives of robots, this robust and adaptive behavior can emerge from simple individual rules. These collectives can also be reconfigured, allowing for adaption to new tasks. Larger collectives are more robust and more capable, but the size of existing collectives is limited by the cost of individual units. In this article, we present a soft, modular robot that we have explicitly designed for manufacturability: Linbots use multifunctional voice coils to actuate linearly, to produce audio output, and to sense touch. When used in collectives, the Linbots can communicate with neighboring Linbots allowing for isolated behavior as well as the propagation of information throughout a collective. We demonstrate that these collectives of Linbots can perform complex tasks in a scalable distributed manner, and we show transport of objects by collective peristalsis and sorting of objects by a two-dimensional array of Linbots.

Soft RoboticsAhead of PrintFree AccessLinbots: Soft Modular Robots Utilizing Voice Coils Ross McKenzie, Mohammed E. Sayed, Markus P. Nemitz, Brian W. Flynn, and Adam A. Stokes Ross McKenzieScottish Microelectronics Centre, School of Engineering, Institute for Integrated Micro and Nano Systems,…

Increasing amounts of attention are being paid to the study of Soft Sensors and Soft Systems. Soft Robotic Systems require input from advances in the field of Soft Sensors. Soft sensors can help a soft robot to perceive and to act upon its immediate environment. The concept of integrating sensing capabilities into soft robotic systems is becoming increasingly important. One challenge is that most of the existing soft sensors have a requirement to be hardwired to power supplies or external data processing equipment. This requirement hinders the ability of a system designer to integrate soft sensors into soft robotic systems. In this article, we design, fabricate, and characterize a new soft sensor, which benefits from a combination of radio-frequency identification (RFID) tag design and microfluidic sensor fabrication technologies. We designed this sensor using the working principle of an RFID transporter antenna, but one whose resonant frequency changes in response to an applied strain. This new microfluidic sensor is intrinsically stretchable and can be reversibly strained. This sensor is a passive and wireless device, and as such, it does not require a power supply and is capable of transporting data without a wired connection. This strain sensor is best understood as an RFID tag antenna; it shows a resonant frequency change from approximately 860 to 800 MHz upon an applied strain change from 0% to 50%. Within the operating frequency, the sensor shows a standoff reading range of 7.5 m (at the resonant frequency). We characterize, experimentally, the electrical performance and the reliability of the fabrication process. We demonstrate a pneumatic soft robot that has four microfluidic sensors embedded in four of its legs, and we describe the implementation circuit to show that we can obtain movement information from the soft robot using our wireless soft sensors.

Soft RoboticsAhead of PrintFree AccessLijun Teng, Kewen Pan, Markus P. Nemitz, Rui Song, Zhirun Hu, and Adam A. Stokes Lijun TengThe School of Engineering, Institute for Integrated Mi…