Quantum Computing Enters 2018 Like It Is 1968
The quantum computing competitive landscape continues to heat up in early 2018. …
The quantum computing competitive landscape continues to heat up in early 2018. …
Oak Ridge National Laboratory has been investing heavily in quantum computing across the board. …
For quantum computing to make the leap from theory and slim early use cases to broader adoption, a programmability jump is required. …
Many hands make light work, or so they say. So do many cores, many threads and many data points when addressed by a single computing instruction. …
A year ago, at its Google I/O 2022 event, Google revealed to the world that it had eight pods of TPUv4 accelerators, with a combined 32,768 of its fourth generation, homegrown matrix math accelerators, running in a machine learning hub located in its Mayes County, Oklahoma datacenter. …
It has taken untold thousands of people to make machine learning, and specifically the deep learning variety, the most viable form of artificial intelligence. …
Scientists have unlocked many atomic secrets through physics research that studies particle interactions such as quarks, gluons, protons, and neutrons within the nucleus of an atom. …
What is the hardest job at Intel, excepting whoever is in charge of the development of chip etching processes and the foundries that implement it? …
Since 1965, the computer industry has relied on Moore’s Law to accelerate innovation, pushing more transistors into integrated circuits to improve computation performance. …
Not so long ago, there was a question whether exascale supercomputers would be built from a very large number of thin nodes containing only modest amounts of parallelism or a smaller number of fat nodes powered by specialized accelerators and powerful manycore processors. …
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