Researchers at the Columbia Engineering Creative Machines lab have developed a 3D-printable, synthetic soft muscle that can mimic natural biological systems, lifting 1000 times its own weight. The artificial muscle is three times stronger than natural muscle and can push, pull, bend, twist, and lift weight -- no external devices required.
University of Washington (UW) researchers have developed a low-cost, long-range data-communication system that could make it possible for medical sensors or billions of low-cost “internet of things” objects to connect via radio signals at long distances (up to 2.8 kilometers) and with 1000 times lower required power (9.25 microwatts in an experiment) compared to existing technologies.
The major advance in this study is “their methodology for designing simple DNA devices that work in parallel to solve nontrivial tasks,” notes Duke University computer scientist John H. Reif in an article in the same issue of Science. Such tasks could include synthesizing a drug in a molecular factory or delivering a drug only when a specific signal is present in bloodstreams, say the researchers. “So far, the development of DNA robots has been limited to simple functions,” the researchers note.
The National Science Foundation (NSF) has invested nearly $80 million in four new Engineering Research Centers (ERCs) to create novel technology platforms to address national challenges in health and energy sustainability. Over the next five years, the centers will create new knowledge and high-tech innovations, as well as transform existing industries in ways that bolster the U.S. economy, support national security and build America's global competitiveness through the preparation of engineering graduates.
As the company prepares to unveil the 10th-anniversary iPhone, which it hopes will redefine the category once again, it’s worth remembering that without public research funding, many of the technologies that are fundamental to smartphones would not exist. Moreover, the claim made by many Silicon Valley libertarians that the private market is superior to public funding simply isn’t supported by the evidence.
Led by Amazon, Alphabet, Intel, Microsoft and Apple, tech companies spent more on research and development than any other companies in the S&P 500 that reported such data, according to FactSet data from the most recent fiscal year.
A year after the NFL pledged $100 million in support of independent medical research and engineering advancements, a huge chunk of that soon will be awarded to such research, primarily dedicated to neuroscience.
The National Science Foundation (NSF) today (8/24) announced $17.7 million in funding for 12 Transdisciplinary Research in Principles of Data Science (TRIPODS) projects, which will bring together the statistics, mathematics and theoretical computer science communities to develop the foundations of data science. Conducted at 14 institutions in 11 states, these projects will promote long-term research and training activities in data science that transcend disciplinary boundaries.
Two White House offices issued guidance to federal agencies today in formulating their FY2019 budget requests on the Trump Administration’s research and development (R&D) priorities. Civil space activities are not on the list, but military space systems are briefly mentioned.