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Previous Blogs

August 9, 2016
The Digital Identity Dilemma

August 2, 2016
IoT Strategies Going Vertical

July 29, 2016
Yahoo-Verizon Deal

July 26, 2016
Creating New Worlds

July 19, 2016
The State of Smart Homes

July 15, 2016
US PC Market Shows Improvement

July 12, 2016
Pokemon Go is an AR Watershed

July 5, 2016
Car Wars: The Battle for Automotive Tech

July 1, 2016
Microsoft Announces Windows 10 Anniversary Update

June 28, 2016
Digital Audio Progress Highlights Tech’s More Human Future

June 24, 2016
HP Inc. Offers Thinnest Notebook

June 21, 2016
IoT Faces Challenges with Scale

June 17, 2016
Snapchat Opens Up New Options for Marketers

June 14, 2016
Apple Drives Apps into Services

June 7, 2016
The Evolution of Cloud Computing

May 31, 2016
Voice-Based Computing with Digital Assistants

May 24, 2016
Turning Makers into Manufacturers

May 20, 2016
Google Brings Android Apps to Chrome

May 17, 2016
Virtual Reality Brings New Life…to Desktops?

May 10, 2016
The Biggest Question for IoT…Who Pays?

May 3, 2016
Learning About Deep Learning

April 26, 2016
The End of Hardware?

April 19, 2016
Enterprise IoT Drives Indirect Savings

April 12, 2016
TidBits About Bots

April 5, 2016
VR in the Cloud

March 29, 2016
IOT Will Drive Tech Outside of IT

March 22, 2016
Apple Moves to Middle Age

March 15, 2016
The Invisible Platform

March 8, 2016
Bringing Makers to Business

March 1, 2016
IOT Coming Into Focus

February 23, 2016
The Devices Formerly Known as Smartphones

February 16, 2016
Can Web Music Survive?

February 9, 2016
The Growing Choices in Wireless Connectivity

February 2, 2016
What if Twitter Died?

January 26, 2016
Smart Home Safety Evolution: Physical to Digital

January 19, 2016
The Promise and Confusion of USB Type-C

January 12, 2016
The Hottest Computing Device? Cars

January 5, 2016
Top Tech Predictions for 2016, Part 2

December 30, 2015
Top Tech Predictions for 2016, Part 1

2015 Blogs

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TECHnalysis Research Blog Extra

August 12, 2016
Intel Purchases AI Chip Vendor

By Bob O'Donnell

The quest for influence and control in the burgeoning fields of artificial intelligence, machine learning and deep learning took another turn this past week as semiconductor giant Intel purchased Nervana Systems. Started by some ex-Qualcomm employees, Nervana Systems has been working on a dedicated deep learning accelerator chip, along with software and development tools to enable the creation of software that will run on their unique architecture.

Intel’s purchase of the company reflects their interest in dramatically speeding up their efforts in deep learning, no doubt in part from the near-term competitive threat from nVidia. Longer term, this looks to be a very strategic purchase for Intel as it gives them access to some key IP and expertise around these AI-driven technologies.

Deep learning and convolutional neural networks, in particular, are expected to have an extremely important and long-term impact on overall computing trends, so most major vendors have efforts to increase their relevance and capabilities in these areas. It’s particularly valuable for Intel because the company has the scale and manufacturing expertise to leverage this IP for both standalone chips initially and, eventually, as a core computing block that they could embed into future processors and other chips. This will allow Intel to bring deep learning capabilities to servers in the short term and client devices longer term.

In addition, Intel can manufacture the chips themselves and, if they prove to be popular enough, this could help keep their production lines running closer to capacity, which helps them keep their overall manufacturing costs down.

Of course, it remains to be seen how well Intel can integrate the Nervana Systems personnel and technology into their own. In particular, there are questions about whether or not the Nervana Systems IP can (or should) be implemented alongside x86 IP, but the promise and potential of the deal makes it look very appealing at first glance.

A number of other startups are also working on deep learning accelerators, so there are also questions from a competitive technology basis about how the Nervana Systems IP will stack up longer term. However, given Intel’s financial strength and their desire to continue driving computing platforms in the data center and for client devices, it’s a safe bet to say that Intel will work hard to remain relevant.

Here's a link to the column: https://techpinions.com/unpacked-for-friday-august-12th-2016/46803

Bob O’Donnell is the president and chief analyst of TECHnalysis Research, LLC a market research firm that provides strategic consulting and market research services to the technology industry and professional financial community. You can follow him on Twitter @bobodtech.

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