Lifeboat Foundation

A team from Cranfield University has published a paper on a small, laser-sail mission to Alpha Centauri at a symposium of the International Academy of Astronautics. Multiple spacecraft are launched sequentially.

You can download the paper here:
https://www.researchgate.net/publication/317491721_Dragonfly_Sail_to_the_Stars

Why fight to charge your phone at a public outlet when a robot could do it for you?

The cosmos can be considered as a collider for human to access the results of particle physics experiments at ultimate high energies. Credit: Department of Physics, HKUST

Chronological age has been typically used as a way to gauge how someone is aging, however this is a poor measure indeed. People tend to age at different rates due to a variety of reasons, environment, diet, diseases in earlier life, stress, exercise and lifestyle all play a role in how a person ages.

Clearly a better way to measure aging is needed if we are to accurately assess how someone is aging for the purposes of health monitoring and research. One way to do this is to use functional aging as a way to determine how someone is aging.

Functional aging is defined as a combination of the chronological, physiological, mental, and emotional ages of a person that give an overall measure of their rate of aging.

DARPA created the Safe Genes program to gain a fundamental understanding of how gene editing technologies function; devise means to safely, responsibly, and predictably harness them for beneficial ends; and address potential health and security concerns related to their accidental or intentional misuse. Today, DARPA announced awards to seven teams that will pursue that mission, led by: The Broad Institute of MIT and Harvard; Harvard Medical School; Massachusetts General Hospital; Massachusetts Institute of Technology; North Carolina State University; University of California, Berkeley; and University of California, Riverside. DARPA plans to invest $65 million in Safe Genes over the next four years as these teams work to collect empirical data and develop a suite of versatile tools that can be applied independently or in combination to support bio-innovation and combat bio-threats.

Gene editing technologies have captured increasing attention from healthcare professionals, policymakers, and community leaders in recent years for their potential to selectively disable cancerous cells in the body, control populations of disease-spreading mosquitos, and defend native flora and fauna against invasive species, among other uses. The potential national security applications and implications of these technologies are equally profound, including protection of troops against infectious disease, mitigation of threats posed by irresponsible or nefarious use of biological technologies, and enhanced development of new resources derived from synthetic biology, such as novel chemicals, materials, and coatings with useful, unique properties.

Achieving such ambitious goals, however, will require more complete knowledge about how gene editors, and derivative technologies including gene drives, function at various physical and temporal scales under different environmental conditions, across multiple generations of an organism. In parallel, demonstrating the ability to precisely control gene edits, turning them on and off under certain conditions or even reversing their effects entirely, will be paramount to translation of these tools to practical applications. By establishing empirical foundations and removing lingering unknowns through laboratory-based demonstrations, the Safe Genes teams will work to substantially minimize the risks inherent in such powerful tools.

Designer antibodies, volcano mining, and biomimetic materials. The future is wild.

What if a new tool could allow software to be written without bugs, and eliminate the need for time consuming test procedures? In this video, Jon Howell and Jay Lorch discuss “IronFleet,” the first methodology for automatically verifying distributed systems and the subject of a Research Highlights video in the July 2017 issue of CACM.

ow.ly/lhds30dwdi5

Click on photo to start video.

Congress took the first step toward setting rules for self-driving cars, as a House panel unanimously approved a measure that would allow thousands of automated vehicles to hit the road while federal regulators develop safety standards and preempt state rules.

The legislation garnered bipartisan support after Republican leaders adopted Democratic proposals for provisions to bolster safety oversight of self-driving vehicles by federal regulators.