Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 11169

Progress in real science is steady, follows proper methodology and respects engineering safety. We live in an amazing world where medical progress is advancing rapidly, sadly we also have those willing to jump the gun hawking unproven experimental therapies without sufficient data.

Unproven therapies and people jumping the gun to make a quick buck are a plague in the aging research field. Real science is slow and methodical but ultimately gets results that ensure safe therapies can be deployed in the healthcare arena. At Lifespan.io we are passionate about supporting the progress of science that is conducted properly.

“The life science community should embrace the discrediting of unproven therapies promoted without data for economic gain, and instead focus on the promise of research held to the highest standards.”

#aging #crowdfundthecure

Continue reading “Reviving optimism for regenerative medicine” | >

Intel today unveiled new hardware and software targeting the artificial intelligence (AI) market, which has emerged as a focus of investment for the largest data center operators. The chipmaker introduced an FPGA accelerator that offers more horsepower for companies developing new AI-powered services.

The Intel Deep Learning Inference Accelerator (DLIA) combines traditional Intel CPUs with field programmable gate arrays (FPGAs), semiconductors that can be reprogrammed to perform specialized computing tasks. FPGAs allow users to tailor compute power to specific workloads or applications.

The DLIA is the first hardware product emerging from Intel’s $16 billion acquisition of Altera last year. It was introduced at SC16 in Salt Lake City, Utah, the annual showcase for high performance computing hardware. Intel is also rolling out a beefier model of its flagship Xeon processor, and touting its Xeon Phi line of chips optimized for parallelized workloads.

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Computer chips in development at the University of Wisconsin–Madison could make future computers more efficient and powerful by combining tasks usually kept separate by design.

Jing Li, an assistant professor of electrical and computer engineering at UW–Madison, is creating computer chips that can be configured to perform complex calculations and store massive amounts of information within the same integrated unit — and communicate efficiently with other chips. She calls them “liquid silicon.”

“Liquid means software and silicon means hardware. It is a collaborative software/hardware technique,” says Li. “You can have a supercomputer in a box if you want. We want to target a lot of very interesting and data-intensive applications, including facial or voice recognition, natural language processing, and graph analytics.”

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BEIJING China’s Shenzhou 11 space capsule landed safely in the northern region of Inner Mongolia on Friday with two astronauts aboard, state media said, completing the country’s longest manned space mission to date.

China Central Television showed images of the craft — whose name translates as “Divine Vessel” — on the ground flanked by Chinese flags and support teams. State news agency Xinhua said the capsule had touched down “successfully” just after 2 p.m.

The two astronauts, Jing Haipeng and Chen Dong, spent 30 days aboard the Tiangong 2 space laboratory, or “Heavenly Palace 2”, which China is using to carry out experiments ahead of a longer-range plan to have a permanent manned space station around 2022.

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