Simulating 1 second of real brain activity takes 40 minutes and 83K processors

Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain’s neural network, using the world’s fourth-fastest supercomputer. The results aren’t revolutionary just yet, but they do hint at what will be possible as computing power increases.

RainStor raises $12M to make your big data small

Big data company RainStor has raised $12 million is Series C funding for its database that’s designed to shrink data footprints by at least 95 percent. It also plays nice with Hadoop, meaning a system can handle ad hoc SQL queries as well as MapReduce jobs.

Researchers using AI to build robotic bees

Building a robotic bee that acts like a real bee is a lot more complicated than programming a robot to fly around from flower to flower. A project called Green Brain aims to build an artificial intelligence system that can actually mimic a bee’s brain.

Supercomputing’s problem isn’t power, it’s software

Getting to next generation systems in high performance computing has inspired technologies that we now use everyday in data centers, but as the drive for exascale computing continues, it seems ingenuity is coming to an end. But is power consumption the real hurdle for bigger systems?

Meet the new breed of HPC vendor

The face of high-performance computing is changing. That means new technologies and new names, but also familiar names in new places. Anyone that doesn’t have a cloud computing story to tell, possibly a big data one too, might starting looking really old really quickly.

Concurrent raises $900K to make Hadoop easier

Concurrent, the company providing the Cascading data workflow API, has raised a $900,000 seed round to capitalize on the newfound excitement around Hadoop. Cascading is an open-source API for creating and running data workflows atop Hadoop clusters.

LexisNexis open-sources its Hadoop killer

LexisNexis is releasing a set of open-source, data-processing tools it says outperforms Hadoop and even handles workloads that Hadoop presently cannot. There have been calls for a legitimate alternative to Hadoop, and this certainly looks like one.