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Previous Blogs

November 15, 2016
Ready or Not, We’re Entering an AI World

November 11, 2016
Oculus Software Update Lowers PC Requirements for VR Headset

November 8, 2016
The Best Automotive Tech Opportunity? Make Existing Cars Smarter

November 1, 2016
It’s Time for an IoT Security Standard

October 25, 2016
The Indefatigable PC

October 21, 2016
Tesla Hardware Upgrade to Enable More Autonomous Cars

October 18, 2016
Can IT Survive?

October 14, 2016
Sony PlayStation VR Brings Virtual Reality to the Masses

October 11, 2016
Galaxy Note 7: The Death of a Smartphone

October 4, 2016
Service Providers Still Act Like Utilities

September 30, 2016
Google Updates Their Cloud Offerings

September 27, 2016
The Andromeda Strain

September 13, 2016
Apple's Missed Audio Opportunity

September 9, 2016
Traditional IT Companies Announce Major Changes: Dell, HP Enterprise, Intel

September 6, 2016
Rethinking Smart Home Gateways

August 30, 2016
Ridesharing Impact Dramatically Overstated

August 23, 2016
Consumer Interest in Auto Tech? Slower Than You Think

August 19, 2016
Intel Focuses on Automotive

August 16, 2016
The Utility of Cloud Computing

August 12, 2016
Intel Purchases AI Chip Vendor

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

November 18, 2016
Intel Unveils Broad AI Vision

By Bob O'Donnell

At a special event in San Francisco, Intel debuted a sweeping new vision for the role it believes it can play in the rapidly evolving and highly topical field of Artificial Intelligence. The company put together an impressive set of messages that covered everything from definitions for the still little understood fields of AI, machine learning and deep neural networks, through silicon announcements, software unveilings, new customer partnerships and even a new sub-brand.

The company made clear that it believes the AI market is still in its infancy and that there are plenty of opportunities for it to make a very significant mark. The last point is important, because there’s been a great deal of press and attention to date on the role that GPUs can play in AI and deep learning, driven primarily by nVidia’s strong messaging work.

At Intel’s event, the company discussed a variety of different efforts they’re making to impact the AI market—an opportunity the company clears sees as being strategic to its long-term growth. On the silicon side, the company unveiled a new chip code-named Lake Crest, expected in the first of 2017, which uses the work done by Nervana Systems, the AI company that Intel purchased earlier this year. The new chip architecture is specifically optimized for deep learning algorithms and includes 32 GB of high-bandwidth memory (HBM2) and offers high-speed I/O and proprietary chip-to-chip protocols to handle very large deep neural network models.

Intel plans to use the Nervana sub-brand to help unify all its AI silicon and software efforts. Speaking of which, the company also described a complex set of software offerings that are designed to let data scientists pick from a variety of open source AI frameworks, including the company’s own Neon framework, which came as part of the Nervana acquisition. Essentially, Intel has created some core software that will optimize algorithms created in any of these frameworks to run quickly and effectively on a range of Intel hardware—from x86 CPUs, through Xeon Phi chips to Altera FPGAs and, eventually, to the Lake Crest family of AI chips.

In addition to the products, Intel announced several partnerships with companies such as Google and insurance company USAA to highlight their efforts. They also talked about a number of socially relevant efforts to use AI for good, such as working with cancer researchers and the Center for Missing and Exploited Children.

While the event had a bit of a “drinking from a firehose” burst of information, it’s clear Intel sees a strong opportunity for itself in AI moving forward.

Here's a link to the column: https://techpinions.com/unpacked-for-friday-november-18-2016/48044

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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