Rebooting MOOC Research
Friday, May 15th, 2015Rebooting #MOOC Research https://www.sciencemag.org/content/347/6217/34.summary
Perspective from an #education institution: How to measure engagement of the student?
Rebooting #MOOC Research https://www.sciencemag.org/content/347/6217/34.summary
Perspective from an #education institution: How to measure engagement of the student?
“this has got to be a record… imported this into Zotero to find the total author count. It’s 1,014”
http://www.g3journal.org/content/5/5/719.abstract
[After a long career] Alexander Rich Dies at 90; Confirmed #DNA’s Double Helix
http://www.nytimes.com/2015/05/06/us/alexander-rich-dies-at-90-confirmed-dnas-double-helix.html Helped unravel Z-DNA & RNA structure
Moving to Mars http://www.newyorker.com/magazine/2015/04/20/moving-to-mars Simulating multi-year space flights on Mauna Loa. Morphing astronauts from test pilots to sea voyagers
Annals of Exploration APRIL 20, 2015 ISSUE
Moving to Mars
Preparing for the longest, loneliest voyage ever.
BY TOM KIZZIA
The brain chip http://www.sciencemag.org/content/345/6197/614.summary #Neuromorphic #computers overcome bottlenecks in classic von Neumann architecture
QT:{{"…consists of 20,000 chips, each of which represents 1000 neurons. This fall, Furber says, he expects that number will rise to 100,000 chips representing 100 million neu-rons, and eventually a 1-million-chip system representing 1 billion neurons—about 1% of the neurons in the human brain
All computer chips made today rely on the same general architecture that was outlined nearly 70 years ago. This architecture separates the two primary tasks a chip needs to carry out—processing and memory—into different regions and continuously communicates data back and forth. Though this strategy works well for crunching numbers and running spreadsheets, it’s much less efficient for handling tasks that manage vast amounts of data, such as vision and language processing. But in recent years, researchers around the globe have been pursuing a new approach called neuromorphic computing. On page 668 of this issue, researchers at IBM and Cornell University report creating the world’s first production-scale neuromorphic computing chip. The novel approach to hardware is made up of 5.4 billion transistors that are wired to emulate a brain with 1 million "neurons" that talk to one another via 256 million "synapses."
"}}
His brain, her brain? http://www.sciencemag.org/content/346/6212/915.summary Neurosexism potentially results from multiple testing & only publishing positives