AI Infrastructure: Page
-
Huawei AI processor helps complete vendor’s AI portfolio
The Chinese technology vendor Huawei aims to speed up AI training times with the launch of a new processor in China and a new AI computing framework.
By Mark Labbe • Aug. 27, 2019 -
Choosing the right chip foundation for AI-optimized hardware
Every enterprise is trying to implement AI and machine learning. But, before AI, before clean data and before platform comparison, enterprises need to find the best hardware to support AI.
By Kassidy Kelley • Aug. 22, 2019 -
Mapping adoption of artificial intelligence in the enterprise
As many enterprises focus on use case research, the mature uses of AI are concentrated in supervised learning, structured data extraction and using a small number of platforms.
By Kassidy Kelley • July 26, 2019 -
Augmented intelligence applications showing ROI, broad success
Enterprise uses have shown that utilizing augmented intelligence technology increases ROI, productivity and linear success as compared to general AI or AGI.
By Ron Schmelzer • July 25, 2019 -
GPU analytics speeds up deep learning, other data insights
GPU-based systems have become a popular platform for deep learning applications, and they're now also being used to accelerate analysis of IoT and geospatial data.
By David Teich • July 12, 2019 -
Tellius joins Google Cloud Partner Program
Tellius is now part of the Google Cloud Partner Program, which enables it to integrate with Google BigQuery and Google Analytics in addition to using the Google Cloud Platform.
By Tanner Harding • June 24, 2019 -
New Amax servers aim to accelerate AI and ML workflows
The Amax BrainMax Series servers feature the latest Nvidia RTX GPU accelerator cards for intensive GPU and AI applications and deep learning initiatives.
By Tanner Harding • June 20, 2019 -
AI network security tool autonomously does microsegmentation
To ensure network security, a U.S. law firm has turned to automated network microsegmentation vendor Edgewise. The startup uses machine learning to deploy microsegmentation.
By Mark Labbe • June 19, 2019 -
Computer vision tools reach into test, healthcare, security
Gaining a reputation as a viable technology in niche applications like X-ray scans, fingerprint matching and robotics, computer vision looks to mainstream, commodified apps.
By Maria Korolov • May 22, 2019 -
AI at the edge spurs decentralization, IoT interconnectivity
As AI spreads into most enterprises, it's imperative that devices or programs can make immediate smart decisions. Localized AI at the edge is aiming to tackle the lag.
By Scott Robinson • May 22, 2019 -
Abbyy TimelinePI acquisition boosts process intelligence
With its acquisition of process intelligence software startup TimelinePI, document capture vendor Abbyy streamlines its content analysis and NLP capabilities.
By Mark Labbe • May 20, 2019 -
Top computer vision retail uses and how they enhance shopping
Computer vision technology can help retailers make shopping in stores faster and easier for customers, while also improving checkout accuracy and theft prevention.
By David Teich • May 13, 2019 -
Google’s Cloud TPU v2, v3 Pods accelerate ML training
For the first time, Google Cloud TPU Pods are available in public beta, enabling machine learning developers and engineers to more quickly deploy and train models.
By Mark Labbe • May 7, 2019 -
AI for knowledge management boosts information accessibility
Integrating AI for knowledge management systems builds intelligent searches. Enterprises benefit from streamlined, smart content platforms that make information accessible.
By Kathleen Walch • May 2, 2019 -
Machine learning on edge devices solves lack of data scientists
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
By Kassidy Kelley • April 19, 2019 -
New Google Cloud AI Platform unifies AI development tools
Google's newly unveiled AI Platform offers AI developers a collaborative environment to test, train and deploy machine learning and deep learning models.
By Mark Labbe • April 11, 2019 -
Artificial intelligence creativity tools mimic human ability
Computational creativity seeks to understand and reproduce facets of human creativity. From songwriting to image creation, artificial intelligence creativity tools are on the rise.
By Ron Schmelzer • March 26, 2019 -
RPA in banking gives fintech a competitive edge
RPA in banking is setting its sights on fintech and flexible banking to compete with traditional banking. Community banks still see hurdles despite potential to wield RPA.
By Kassidy Kelley • March 22, 2019 -
Google AI division open sources GPipe neural network library
Google AI, the AI research and development team at Google, made GPipe a framework for building large-scale and accurate deep neural networks open source.
By Mark Labbe • March 6, 2019 -
Expert Advice
Perfect AI-defined infrastructure by analyzing your data center
Before implementing AI, evaluate your IT team and data storage center. Experts explain the fundamental elements of data storage required to tailor an AI-defined infrastructure.
By Kassidy Kelley • Feb. 28, 2019 -
Google Cloud Speech-to-Text, Text-to-Speech see upgrades
Google upgrades its cloud-based speech and text products with higher accuracy levels, new WaveNet voice options and support for several new languages.
By Mark Labbe • Feb. 22, 2019 -
IBM Watson OpenScale: AI control, monitoring for any cloud
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.
By Mark Labbe • Feb. 14, 2019 -
Intel AI chip aims to boost inference for AI users
Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.
By Mark Labbe • Jan. 11, 2019 -
Knowledge graph applications in the enterprise gain steam
As the maturity of knowledge graphs improves, enterprises are finding new ways to incorporate them into business operations, though stumbling blocks remain.
By Kathleen Walch • Dec. 12, 2018 -
The steady evolution of RPA to intelligent automation
New technologies have led to new RPA types, as advances in AI, machine learning and natural language processing have evolved the original RPA tools of the 1990s.
By Mark Labbe • Oct. 23, 2018