Lifeboat Foundation

It’s letting them study the Sun in a more “hands-on” way.

The Pentagon is hitting pause on awarding its $10 billion cloud computing contract until the Defense Department examines whether the process was rigged in favor of Amazon, according to Business Insider.

“Keeping his promise to Members of Congress and the American public, Secretary Esper is looking at the Joint Enterprise Defense Infrastructure (JEDI) program,” a Pentagon spokesperson said in a statement Thursday. “No decision will be made on the program until he has completed his examination.”

The contract was supposed to be awarded sometime this month.

A number of NASA scientists are currently researching the feasibility of warp drive (and EMdrive and a number of other modes of faster than light travel); however, most scientists think that such forms of space travel simply aren’t viable, thanks to the fundamental physics of our universe.

“Routine travel among the stars is impossible without new discoveries regarding the fabric of space and time, or capability to manipulate it for our needs,” says Neil deGrasse Tyson, the “Cosmos famous” astrophysicist at the American Museum of Natural History, said “By my read, the idea of a functioning warp drive remains far-fetched, but the real take-away is that people are thinking about it — reminding us all that the urge to explore continues to run deep in our species.”

There have been hints the past few years that NASA may be on the path to discovering warp bubbles that could make the local universe accessible for human exploration. NASA scientists may be close announcing they may have broken the speed of light. According to state-of-the art theory, a warp drive could cut the travel time between stars from tens of thousands of years to weeks or months.

FINALLY!!!

Half rabbit half chicken chimera 32%: when rabbit howls truddi chase jove publications %: the piano teacher sophie elliot chimera %: the half life of stars louise wener hodder.

As well as Gait Recognition. (Go ahead and wear a disguise.)

The mass surveillance of innocent Americans continues as George Orwell’s 1984 becomes more of a reality with each passing day. “All told, we are barreling toward a future where every ritual of public life carries implicit consent to be surveilled,” writes Sidney Fussell for The Atlantic.

A new report from Georgetown Law‘s Center on Privacy & Technology (CPT) suggests that Immigration and Customs Enforcement (ICE) may be using the rampant problem of illegal immigration as a type of cover to track and spy on Americans in violation of their Fourth Amendment rights. Three years ago, the center revealed that nearly half of all U.S. adults are already in the FBI’s facial recognition database, which is largely sourced from DMV photos.

Continue reading “Mass Surveillance: 1 in 2 Americans Are Already In A Government Facial Recognition Database” »

The phrase “positive reinforcement,” is something you hear more often in an article about child rearing than one about artificial intelligence. But according to Alice Parker, Dean’s Professor of Electrical Engineering in the Ming Hsieh Department of Electrical and Computer Engineering, a little positive reinforcement is just what our AI machines need. Parker has been building electronic circuits for over a decade to reverse-engineer the human brain to better understand how it works and ultimately build artificial systems that mimic it. Her most recent paper, co-authored with Ph.D. student Kun Yue and colleagues from UC Riverside, was just published in the journal Science Advances and takes an important step towards that ultimate goal.

The AI we rely on and read about today is modeled on traditional computers; it sees the world through the lens of binary zeros and ones. This is fine for making complex calculations but, according to Parker and Yue, we’re quickly approaching the limits of the size and complexity of problems we can solve with the platforms our AI exists on. “Since the initial deep learning revolution, the goals and progress of deep-learning based AI as we know it has been very slow,” Yue says. To reach its full potential, AI can’t simply think better—it must react and learn on its own to events in real time. And for that to happen, a massive shift in how we build AI in the first place must be conceived.

To address this problem, Parker and her colleagues are looking to the most accomplished learning system nature has ever created: the human brain. This is where positive reinforcement comes into play. Brains, unlike computers, are analog learners and biological memory has persistence. Analog signals can have multiple states (much like humans). While a binary AI built with similar types of nanotechnologies to achieve long-lasting memory might be able to understand something as good or bad, an analog brain can understand more deeply that a situation might be “very good,” “just okay,” “bad” or “very bad.” This field is called neuromorphic computing and it may just represent the future of artificial intelligence.

In a new paper, researchers describe their new model that is genetically a lab mouse, but has the microbiome of a wild mouse.

New SystemBC malware spotted in the wild helping other malware strains bypass firewalls, hide bad traffic.

In a paper published in the July 31 issue of Science Translational Medicine, researchers at Fred Hutchinson Cancer Research Center used CRISPR-Cas9 to edit long-lived blood stem cells to reverse the clinical symptoms observed with several blood disorders, including sickle cell disease and beta-thalassemia.

It’s the first time that scientists have specifically edited the genetic makeup of a specialized subset of adult blood stem cells that are the source of all cells in the blood and immune system.

The proof-of-principle study suggests that efficient modification of targeted stem cells could reduce the costs of gene-editing treatments for blood disorders and other diseases while decreasing the risks of unwanted effects that can occur with a less discriminating approach.