Lifeboat Foundation

On Jan. 1, NASA’s New Horizons will perform a high-risk, high-reward flyby of an ancient world on the outskirts of the solar system.

NASA’s New Horizons spacecraft is just over 100 days away from a high-risk, high-reward flyby of an ancient world on the outskirts of the solar system.

On New Year’s Day 2019, the spacecraft will come within 3,500 kilometers of 2014 MU69, an estimated 37-kilometer-wide object the mission team has nicknamed Ultima Thule. The encounter will take place 6.6 billion kilometers from Earth, where it takes more than 6 hours for radio signals traveling at the speed of light to reach NASA’s Deep Space Network.

Continue reading “‘Everything about this flyby is tougher’: New Horizons just over 100 days from Ultima Thule” »

In a new NASA-led study, scientists used GPS data to track where Hurricane Harvey’s stormwater went and how long it took to dissipate.

Researchers think it could play an important function in devices using IoT and medical applications.

NASA’s Hubble Space Telescope uncovered never-before-seen features around a neutron star.

An unusual infrared light emission from the nearby orb could indicate a dusty disk, or an energetic wind coming off the object and slamming into interstellar gas.

Continue reading “Hubble Telescope Uncovers Unusual Environment of Neutron Star” »

How much plastic is your washing machine sending out to sea?

Giving millions of patients already taking statins a new type of drug could slash their heart disease risk even further, research suggests.

Scientists claim pills that are currently under development, called lipoprotein lipase (LPL) enhancers, could prevent thousands of heart attacks.

Continue reading “Give millions of patients already on statins a new type of drug” »

Researchers from the University of Tokyo have created the strongest-ever controllable magnetic field, and it could help make nuclear fusion a reality.

Computer scientists at MIT have developed a machine-learning system that can identify objects in an image based on a spoken description of the image.

Typical speech recognition systems like Google Voice and Siri rely on transcriptions of thousands of hours of speech recordings, which are then used to map speech signals to specific words.

Still in its early stages, the MIT system learns words from recorded speech clips and objects in images and then links them. Several hundred different works and objects can be recognized so far, with expectations that future versions can advance to a larger scale.

Continue reading “MIT Machine-Learning System IDs Objects In Photos” »

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