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Announcing The Socaltech 50: Southern California's Up-and-Comers

socalTECH

So, without further ado, here''s the list of this year''s 2013 Socaltech 50 : Basil Abifaker , Transaction Wireless (San Diego, digital gift cards). Sean Callahan , SlimSurveys (San Diego, mobile apps). Steven Cox , TakeLessons (San Diego, marketplace). Melani Gordon , Taphunter (San Diego, mobile apps).

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Three Ways 5G Is More Than Just Fast Video Streaming

Xconomy

In 2019, we will finally see commercial deployment of the much-anticipated 5G (fifth-generation) wireless network. 5G, particularly when coupled with cloud computing and artificial intelligence (A.I.), 5G, particularly when coupled with cloud computing and artificial intelligence (A.I.),

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Living on the Edge: Amazon, AT&T, Packet Pursue “Cloudlet” Computing

Xconomy

The word “cloud”—as in cloud computing, and cloud storage—has served as a handy shorthand term, but it has always been inherently vague and a little misleading.

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Nirvanix Unveils NAS Solution

socalTECH

San Diego-based Nirvanix said this morning that the firm's network attached storage (NAS) product, CloudNAS, is now available. The software, which combines cloud storage with a NAS server, was originally announced in June. The new product is targeted for use in backup and archiving.

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We’re Beginning to Realize the Cloud’s Full Potential at the Edge

Xconomy

And despite the public cloud’s incredible advantages—unlimited capacity and scale, ubiquitous access, and massive redundancy—this hasn’t happened. That’s because the cloud has an Achilles’ heel: latency. And as a result, there’s an entirely new battle brewing at the metro edge of national data networks, giving players.

Web 101
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Arterys, GE Healthcare to Roll Out Next-Gen MRI Scans of Heart

Xconomy

Arterys feeds the gigabytes of MRI information into its Web-based software application, which takes advantage of the outside computing power now broadly available from the network of servers-for-hire we call “the cloud.” A nexus of events in just a couple of years allowed this to happen,” he says.

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AlwaysAI Adds $4M to Bring Deep Learning to Embedded ‘Edge’ Devices

Xconomy

Using algorithms to analyze those images on the devices, in turn, generally takes loads of computing power and energy—sometimes more than is feasible. Many of our devices, from wearables to medical instruments to drones, can capture reams of images.

Software 108