An updated analysis from OpenAI shows how dramatically the need for computational resources has increased to reach each new AI breakthrough.
November 11, 2019
A new paper argues that the computing demands of deep learning are so great that progress on tasks like translation and self-driving is likely to slow.
July 11, 2020
OpenAI recently published GPT-3, the largest language model ever trained. GPT-3 has 175 billion parameters and would require 355 years and $4,600,000 to train - even with the lowest priced GPU cloud on the market.
June 03, 2020
The researchers’ goal is to encourage the energy-efficient development of AI models.
July 17, 2020
Deep learning has a terrible carbon footprint.
June 6, 2019
Companies that shift from AI experimentation to execution achieve lasting ROI and competitive agility.
November 14, 2019
Despite increased interest in and adoption of artificial intelligence (AI) in the enterprise, 85% of AI projects ultimately fail to deliver on their intended promises to business, according to a Thursday report from Pactera Technologies.
June 20, 2019
It has fueled prosperity of the last 50 years. But the end is now in sight.
February 24, 2020
Once crowdsourced for pennies on platforms like Amazon Mechanical Turk, labeling data for AI is swiftly becoming a hugely lucrative market — with much of the work done in places with cheap labor like China, India and Malaysia.
March 25, 2019
Everything you need to know before engaging a data labeling service. Act strategically, build high quality datasets, and reclaim valuable time to focus on innovation.
September 30, 2020
Not only must security pros contend with ever-increasing attacks to their networks, they also must finagle the tool sets guarding their systems to make certain settings are as they should be, reports Greg Masters.
June 9, 2017
A recent survey by the Cloud Security Alliance found, among other things, that out of a sampling of 2,542 anomalous event alerts, only 23.2 percent were actual threats — the rest were false positives. This is one reason “alert fatigue” persists, plaguing security teams in many organizations and across industries. To fully understand the implications of alert fatigue and the role it plays in failing to prevent damaging breaches, it’s important to dig a little deeper into its causes.
April 21, 2017
Auditing by third parties, self-testing of algorithms and expanding regulatory authority are floated as ideas for keeping AI fair.
February 13, 2020
Amazon.com Inc's AMZN.O machine-learning specialists uncovered a big problem: their new recruiting engine did not like women.
October 10, 2018
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