AI and Machine Learning

New information on AI and Machine Learning

Qualcomm’s Smart AI Strategy: Scalable Software For Scalable Devices

Just before the Mobile World Congress (MWC) confab, where techies meet to enjoy tapas in Barcelona while learning about all things mobile, Qualcomm announced a new software suite. These new offerings seek to enable AI capabilities on existing Snapdragon mobile platforms. While most training of Deep Neural Networks is done in the cloud on NVIDIA …

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IBM Targets Installed Base With Second Phase Of POWER9 Systems

IBM POWER9 server Back in December, IBM announced the first phase of its POWER9 products—its first POWER9 chip and its first POWER9-based server (read my full write-up of the announcement here). Now IBM has officially launched the second phase of its POWER9 server products. While the first phase centered around newer customers focusing on AI …

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Arm Throws Their Axe Into The AI Ocean With Project Trillium

Arm’s OD and ML processors work together to find and identify faces. This blog was co-written by Patrick Moorhead, President and Principal Analyst and Karl Freund, Sr. Analyst, Machine Learning and HPC, Moor Insights & Strategy. Machine learning is the hottest thing in tech right now; hotter than smartphones, hotter than virtual reality, even hotter than …

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Google Announces Expensive Cloud TPU Availability

Google  recently announced that the Google Cloud TPU (announced last May), is now available in limited quantities as a beta on the Google Cloud Platform (GCP) for running TensorFlow-based AI applications. Clearly, the search giant is excited about its shiny new device, which the company has claimed will substantially reduce its datacenter footprint and cost …

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NVIDIA’s Upcoming GTC 2018 Is The Place To Be If You Are Anyway Involved In AI Or ML

GTC 2017 opening keynote Every year, NVIDIA holds a series of GPU Technology Conferences, commonly referred to as GTC and gets kicked off with a big event in San Jose and is followed up by regional eventsin places like Beijing, Munich, Tel Aviv, Taipei, Washington DC, and Tokyo. If you or your company is involved …

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Don’t Forget About Storage When Planning For AI And ML

Artificial Intelligence (AI) and Machine Learning (ML) are without a doubt the hottest things happening out there in the tech world.  They are changing the way virtually every industry is approaching solving their biggest problems. AI and ML leaders currently span from healthcare to transportation to social media and it’s hard to attend a major tech …

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Google, Microsoft, And Amazon Place Bets On AI In The Enterprise

Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft  has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company’s own new MLaaS tools and services at AWS Re:Invent last November, trying to court …

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Intel Dazzles At CES 2018 Keynote And Gives Progress On Neuromorphic And Quantum Computing

  Intel CES 2018 This past week, I and several other members of the Moor Insights & Strategy team camped out at CES 2018 in Las Vegas to learn as much as we can about the latest in consumer electronics technology, trends and company strategies. The conference is not only a great opportunity for startups to …

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Bowling For AI: Booz Allen Hamilton And Kaggle Launch Data Science Bowl 2018

This year’s Data Science Bowl focus Anyone who is plugged into the tech world knows that AI and big data is big business right now.  Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn. Big data and AI is big business, but it’s also …

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NVIDIA Reinforces Automotive AI Lead With Uber And Volkswagen Announcements At CES 2018

Under the chaos and fog that is the Customer Electronics Show (CES) this week in Las Vegas, few companies break through the noise and stand out.  CES is the preeminent show for consumer technology vendors.  This year the primary focus of this mega conference is on advancements in robotics (machine intelligence), drones, medical devices, gaming, …

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Microsoft Finds Its AI Voice

Microsoft held an intimate analyst and press event in London this week, coincident with the 20th anniversary of the founding of the Cambridge Research Lab, the European hub led by Professor Christopher Bishop. Microsoft now employs over 7,000 Artificial Intelligence (AI) research scientists and development engineers around the world under Microsoft Research (MSR) Executive VP …

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Baidu Adds Momentum To NVIDIA’s Lead In AI

It is not much of an exaggeration to say that Artificial Intelligence (AI), in its present form, would not be possible without NVIDIA GPUs. NVIDIA has enjoyed near-universal support from some of the largest adopters of Machine Learning technology, as NVIDIA’s speedy GPUs accelerate the training and use of the Deep Neural Networks that enable …

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Google Cloud TPU: Strategic Implications For Google, NVIDIA And The Machine Learning Industry

Google  announced the 2nd generation of the company’s TensorFlow Processing Unit (TPU), now called the Cloud TPU, at the annual Google I/O event, wowing the industry with performance for Machine Learning that appeared to eclipse NVIDIA’s Tesla Volta GPU only one week after that chip was launched. (See below why I say “appeared”.) Unlike Google’s …

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AMD Targets Machine Learning With New Radeon Vega Frontier & Optimized Software

Advanced Micro Devices  (AMD) has shared more details about its upcoming Vega family of GPUs, as well as information regarding the progress the company has made with its open-source ROCm software stack for HPC and Machine Learning (ML). These new Vega GPUs look like they have sufficient performance to be in the same ballpark as …

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Why NVIDIA Is Building Its Own TPU

The blistering pace of innovation in artificial intelligence for image, voice, robotic and self-driving vehicle applications has been fueled, in large part, by NVIDIA’s GPU chips that deliver the massive compute power required by the underlying math required for Deep Learning. While NVIDIA continues to reap the benefits of its investments in GPUs, there has …

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NVIDIA GPU Cloud: It’s Not What You May Think It Is

NVIDIA made a slew of important announcements at its annual GPU conference today, including new hardware, new software and a new design win (Toyota) for self-driving cars. I will cover these announcements in a separate article. But one announcement in particular has created some confusion that I’d like to help clear up, and that’s the …

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Google’s TPU For AI Is Really Fast, But Does It Matter?

After nearly a year since the introduction of the Google TensorFlow Processing Unit, or TPU, Google has finally released detailed performance and power metrics for its in-house AI chip. The chip is impressive on many fronts, however Google understandably has no plans to sell it to its competitors, so its impact on the industry is debatable. …

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NVIDIA Scores Yet Another GPU Cloud For AI With Tencent

NVIDIA’s speedy GPUs and Machine Learning software have unquestionably become the gold standard for building Artificial Intelligence (AI) applications. And today, NVIDIA added TenCent to their list of cloud service providers that offer access to NVIDIA hardware in their clouds for AI and other compute intensive applications. This marks a significant milestone in the global …

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Why Intel Is Buying Mobileye, And What Does It Need To Do To Be Successful?

In a move that Intel hopes can propel it to the forefront of The Next Big Thing, Intel announced it would purchase Mobileye, an Israeli company that makes sensors and cameras for driverless vehicles. Buying a leader to become a leader is never cheap: Intel will pay $13.3B for the firm, a 34% premium over …

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RESEARCH PAPER: A Machine Learning Application Landscape

2016 was a strong year for Machine Learning (ML) and Artificial Intelligence (AI) with many high tech firms claiming that they are now an “AI Company”, notably Amazon, Baidu, Facebook, Google, IBM, Intel, Microsoft, NVIDIA, and Tesla. In 2017, the field will broaden to include AMD, Qualcomm, and Xilinx. Moor Insights & Strategy (MI&S) expects Machine Learning based AIs …

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