Oculus Founder Knocks Apple Mac's Power to Run Virtual Reality Apps
Today's topics include Oculus' founder disses Apple over the power of its computers to run virtual reality, Apple provides technical support via Twitter for the first time, Dell beefs up security services for its data center and the cloud, and Google touts machine learning and the cloud to build recommendation engines.
The Oculus Rift virtual reality headset still doesn't support Mac OS because Apple doesn't build any computers that are powerful enough to meet the high-performance standards the headset requires, according to Palmer Luckey, founder of virtual-reality vendor Oculus VR.
In fact, said Luckey, a Mac release could only come if Apple upped its performance game, according to a March 2 story by ShackNews.
Apple has been providing technical support to its customers for years on its Website, by phone and inside its Apple Stores, but until now Twitter was not a place where users could find help.
That changed on March 3 when Apple unveiled its @AppleSupport page on Twitter. Now available on Twitter, users can find tips and tutorials from Apple advisors, who will be available to answer questions daily from 5 a.m. to 8 p.m. Pacific time.
Dell, which is much more well-known for PCs, storage and servers than for its security acumen, made a lot of news last week in the data protection category.
In addition to unveiling a series of new data protection packages, Dell's SecureWorks subsidiary launched a cloud-based service that identifies threats while they are happening by identifying malicious behavior, enabling it to become aware of attacks that may otherwise go undetected because they involve little or no malware code.
Finally, Patrick Sweeney, vice president of marketing and product management for Dell Security, told eWEEK at the RSA Conference about SonicWall's new Capture service, a sandboxing technology that competes with FireEye, Lastline and others.
Google has released a primer of sorts for enterprises on how to use its machine learning and cloud platform technologies to build an online recommendation engine for their Websites.
The goal is to give developers an idea of how to use open-source technologies and machine learning to implement a simple product recommendation engine on Google's cloud platform.
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