AI Infrastructure: Page

Intuit AI, knowledge engineering help power Aid Assist

The principal product manager at Intuit talks about the company's use of machine learning, natural language processing and knowledge engineering in its new Aid Assist tool.

By Mark Labbe • July 31, 2020

DotData Stream enables real-time predictions at the edge

DotData opens the doors to new markets with DotData Stream, a new product that enables customers to create low-memory, low-latency models at the edge.

By Mark Labbe • July 9, 2020

Artificial intelligence content writing ramps up publishing

To ease the burden that is associated with content production, AI in content production has been deployed to augment writers' work and to help monitor and measure post engagement.

By Kathleen Walch • June 30, 2020

Cloud computing for machine learning offers on-demand tools

Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology.

By George Lawton • May 29, 2020

Nvidia unveils A100 GPU for demanding AI workloads

Designed for demanding AI and data science workloads, Nvidia's new A100 processor is a powerhouse, but it's also power-hungry and high-heat-producing.

By Mark Labbe • May 14, 2020

Intel makes new investments in AI startups

Intel reveals new investments in 11 startups focused on AI, automation and chip design as the tech giant ramps up its efforts in the AI hardware market.

By Mark Labbe • May 14, 2020

IBM’s Watson AIOps aims to help networks run smoothly

Launched during IBM Think 2020 amid the coronavirus pandemic, IBM's Watson AIOps aims to use AI to help CIOs more quickly and efficiently keep their networks running.

By Mark Labbe • May 5, 2020

Are giant AI chips the future of AI hardware?

Giant AI chips like the Cerebras WSE are dazzlingly fast and could transform AI models, but how soon is the question for CIOs. Experts mull the merits of small vs. big AI chips.

By George Lawton • May 4, 2020

Nvidia finalizes Mellanox deal to boost AI products

The Nvidia acquisition of Mellanox will improve its GPU and AI infrastructure products, but it's not likely to give the company a significant edge in the competitive AI market.

By Mark Labbe • April 30, 2020

AI and edge computing security

While boasting benefits such as reduced latency, edge computing can increase a company's vulnerability. Ensuring security is crucial to getting the most out of the technology.

By Kathleen Walch • April 29, 2020

How far are we from artificial general intelligence?

Developers and researchers are currently debating the extent to which artificial general intelligence needs to mimic the human brain. Explore the two schools of thought.

By Ed Burns • April 7, 2020

Data center energy usage combated by AI efficiency

Though often forgotten by the general public, data centers account for 1% of the world's energy consumption. Explore what brought about data centers and how AI can be used to help mitigate their presence.

By Joseph Carew • March 23, 2020

The AI accelerator chip can make AI accessible to all

Specialized AI chips released by companies like Amazon, Intel and Google tackle model training efficiently and generally make AI solutions more accessible.

By Kathleen Walch • Feb. 28, 2020

Edge computing use cases led by autonomous cars and coffee bars

Edge computing can decrease latency times dramatically and has found its place in autonomous vehicles, manufacturing plants and retail.

By Joseph Carew • Feb. 28, 2020

Intel AI hardware roadmap shifts away from Nervana

Intel said it is ending development of its Nervana AI processors. The tech vendor will instead focus its efforts on its Habana Labs processors, which it acquired last year.

By Mark Labbe • Feb. 4, 2020

New IBM Power9 server adds Nvidia, Google chips for AI workloads

Big Blue rolled out another member of its IBM Power9 server family targeted at corporate users who are ready to move beyond the training phase of their AI projects to the deployment phase.

By Ed Scannell • Jan. 29, 2020

Intel acquisition of Habana Labs expected to enhance AI portfolio

By purchasing Habana Labs, an AI hardware startup, Intel now has a more diverse AI portfolio in a quickly growing multi-billion-dollar hardware market.

By Mark Labbe • Dec. 16, 2019

AI in networking helps keep systems running

Network administrators are increasingly using AI tools to help them manage the growing complexity of their network infrastructure, a task that's getting more complicated by the day.

By Kathleen Walch • Dec. 5, 2019

How to build a neural network from the ground floor

Deep learning is powering the development of AI. To build your own neural network, start by understanding the basics: how neural networks learn, correlate and stack with data.

By Manning Publications Co., Kassidy Kelley • Nov. 25, 2019

How to develop a successful, modern AI infrastructure

Before AI can revolutionize business processes or decision-making, companies need a strong foundation. These tools, platforms and applications help enterprises get started with AI.

By Ron Schmelzer • Oct. 25, 2019

3 intelligent process automation use cases and how they work

Enterprises are pursuing intelligent process automation to take their digital transformation and RPA applications to the next level. Here's a look at three use cases.

By Kathleen Walch • Oct. 11, 2019

Deep learning and neural networks gain commercial footing

Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection.

By Maria Korolov • Oct. 10, 2019

Cornell Tech puts computer vision into practice on clothing

A team at Cornell Tech built a clothing recognition dataset, and recently turned to Samasource, which provides AI training data services, to annotate tens of thousands of images.

By Mark Labbe • Oct. 3, 2019

Is artificial general intelligence possible in our lifetime?

Artificial general intelligence aims to create a wide-reaching, common-sense AI that behaves in a human fashion, but researchers and experts are questioning its plausibility.

By Kathleen Walch • Sept. 27, 2019

Serverless machine learning reduces development burdens

Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers.

By Scott Robinson • Sept. 17, 2019